Knowledge Center

Controller HIL Testing for Brushless DC Motor

Accelerate testing of embedded motor controllers by simulating a three-phase brushless DC (BLDC) motor drive as hardware-in-the-loop.

Simulating Quadrature Encoders

Learn how to simulate and configure quadrature encoder data using Speedgoat’s ready-to-use code module

HIL for EV Powertrain Controller Testing: Accelerate Validation with Simulink® and Speedgoat

Advance EV powertrain testing: real-time digital twin simulation, modular hardware-in-the-loop test benches, end-to-end automation. 

Prototype Converter Control Designs, Test Converters and their Controllers

Learn about the solutions for the power electronics development and testing workflow end-to-end, from the early development stages until the final implementation.

Streamline Controller Testing & Certification for More Electric Aircraft & eVTOL

Learn about hardware-in-the-loop testing of more electric and eVTOL aircraft using Speedgoat test systems and the MATLAB^® and Simulink^® model-based design ecosystem. 

Automotive ECU Development: Tackling R&D and Test Engineering Challenges

Learn about mastering automotive HIL: Virtual Vehicle, Workflow Automation, Data-driven Development, and Next-Gen E/E Architectures.

Developing and Testing Electric Motor Drives and their Controllers

Prototype motor control designs, and test motor drives using a fully connected model-based environment and digital twin simulation.

Energy Storage Integration for Electrified Propulsion

Explore Model-Based Design for electrifying heavy-duty transport. Learn how simulation, real-time testing, and code generation streamline system integration and development.

Hardware-in-the-Loop Testing of Battery Management Systems

Learn how to test and validate battery management systems (BMS) using a Simulink^® workflow from desktop simulation to hardware-in-the-loop (HIL) testing.

Reading Quadrature Encoders

Learn how quadrature encoders work, configure the Speedgoat quadrature decoding code module, and read data from a real encoder sensor

Reading Temperature Sensors

Learn how thermocouples and RTD sensors work and read data using the IO171 module

Generating PWM Signals

Discover PWM basics, configure Speedgoat’s code module, and explore advanced concepts like deadband and phase shifting

Updating Speedgoat Test System Software

Learn how to update real-time systems effortlessly with Simulink^® Real-Time™ and MATLAB^®

Changing Test System IP Configuration

Learn to update your test system's IP settings with Simulink^® Real-Time™ Explorer and MATLAB^®

Updating Speedgoat Software on the Host

Learn to check, download, and install Speedgoat software packages, including the latest and older versions, effortlessly

Getting Started with Your Speedgoat Test System

Learn to choose the right tools, install the Simulink® Real-Time™ Target Support Package, and set up the Speedgoat I/O Blockset effortlessly

Hardware-in-the-Loop Testing of Large-Scale Power Systems

Learn how to build a simulator for testing large power systems. Emulate complete power grids and test controllers, protection systems, and electrical equipment.

Prototype Control Designs and Test Controllers for Robots and Autonomous Systems

Learn how to prototype control designs and test controllers for robots and autonomous systems using Model-Based Design with Simulink® and Speedgoat test systems.

E-Motor Emulation for Power HIL Inverter Testing

Test the controllers and power electronics of a three-phase two-level inverter at rated power levels by emulating a permanent magnet synchronous motor (PMSM) under various operating conditions.

eVTOL Powertrain ECU HIL Testing

Validate the powertrain ECUs of fully electric vertical take-off and landing (eVTOL) aircraft using FPGA-based HIL simulations of the complete powertrain, including the propulsion, battery, and flight control systems.

Developing and Certifying Medical Device Control Systems

Model-based design and controls testing using Speedgoat solutions help bio/med/health-tech engineers streamline the development and certification of medical device control systems.

Hardware in the Loop Testing for Microgrids and Renewables

Learn how Model-Based Design and Speedgoat test systems help engineers develop and test various microgrid and renewable energy system controllers.

Real-Time Electromagnetic transient (EMT) Simulation using Simscape

See how Simscape™ Electrical™ and Simulink^® Real-Time™ can be used to model and simulate electromagnetic transient (EMT) power systems in real-time using Speedgoat hardware

Controller HIL Testing for NPC Solar Inverters

Advance development and testing of solar inverters and their controllers by simulating a grid-connected solar photovoltaic (PV) system as Hardware-in-the-Loop (HIL)

HIL Testing of Grid Protection Relays

Integrate feeder protection relays with a digital twin of the grid to validate relay parameters and automate testing of the entire protection layer.

Controller HIL Testing of Dual Active Bridge Converter

Accelerate testing of embedded DC/DC power converter controllers by emulating a dual active bridge (DAB) converter as hardware-in-the-Loop (HIL).

Controller HIL Testing of Power Factor Correction Converter

Accelerate testing of embedded AC/DC power converter controllers by simulating a Power Factor Correction (PFC) converter as hardware-in-the-loop.

AI with Model-Based Design: Reduced-Order Modeling

This talk focuses on AI-based reduced order model techniques and methods and how they can be leveraged for Model-Based Design. Learn how to integrate these AI models into your Simulink^® simulations, for hardware-in-the-loop testing or deployment to embedded systems for virtual sensor applications.

Accelerate EV Software Release Cycles with AVL Motor Emulation Testbeds

This talk focusses on the Motor Emulator testbed from AVL and how to test an automotive inverter at full power for typical operation and fault conditions. Later it shows how to combine with Speedgoat test systems to emulate a battery pack using models from Simscape™ Battery™ when testing software in a fully powered inverter.

System Testing and Validation Using Hardware-in-the-Loop (HIL)

See how to leverage HIL testing using a Speedgoat target machine to streamline your controller development process

Hardware-in-the-Loop Testing of Battery Management Systems

Expedite testing of Battery Management Systems (BMS) with hardware-in-the-loop (HIL) simulation and battery cell emulation

How to Configure a Speedgoat Test System for Simulink® Real-Time™

Configuring your Speedgoat machine for Simulink^® Real-Time™: A Step-by-Step Guide

Controller HIL Testing for Induction Motor

Accelerate testing of embedded motor controllers by simulating a three-phase induction motor drive as hardware-in-the-loop

Controller HIL Testing of Grid-side Converter

Advance integration of grid-tied converters for renewables and distributed energy sources using hardware in the loop testing

Controller HIL Testing of LLC Resonant Converter

Accelerate testing of embedded DC/DC power converter controllers by simulating a half-bridge LLC resonant converter as hardware-in-the-loop

Hardware-in-the-Loop Testing of Unmanned Aerial Vehicle (UAV) Controllers

Test your UAV controllers, design and tune your controllers through Simulink^®.

Hardware-in-the-Loop Testing of Industrial Equipment Controllers

Learn how you can perform hardware-in-the-loop testing of industrial equipment controllers using Speedgoat test systems that provide unrivaled integration with Simulink^®.

Speedgoat Configurable I/O Modules

Learn about the Simulink^®-integrated workflows to configure I/O modules easily and directly from your model.

Hardware-in-the-Loop Testing for Electric Motor Control

Learn about full-scale testing and validation of new controller algorithms under all conditions, including edge cases, using Simulink^® and Speedgoat test systems.

Controller HIL Testing for Three-Phase PMSM with Two-Level Inverter

Accelerate testing of embedded motor controllers by simulating a three-phase PMSM drive as hardware-in-the-loop

Implementing a PLCnext-Based Turbine Control System in Simulink® - Sokratel

Find out how Sokratel uses continuous integration (CI/CD) frameworks to continuously test their turbine control systems using Speedgoat test systems

Verification of Avionics Systems Using Simulink® Test™ and Simulink® Real-Time™ - GE Aerospace

Find out how GE Aerospace uses an integrated requirements-based testing approach for controller certification using Speedgoat test systems

Accelerating Safe Railway Application Development Using Model-Based Design - Alstom

Find out how Alstom employs requirements-based testing to develop safety-critical train controls using Speedgoat test systems

Managing the Complexity of FPGA-Based Rapid Control Prototyping - Siemens Healthineers

Find out how Siemens Healthineers rapidly prototype controls to accelerate development of their X-ray imaging devices using Speedgoat test systems equipped with ultra-fast FPGAs

Validating Motor Control Algorithms with Hardware-In-The-Loop Testing

Learn how to develop and test motor control algorithms. See how you can validate the embedded software by performing hardware-in-the-loop (HIL) testing of the control algorithms

Hardware-in-the-Loop Testing of More Electric Aircraft Energy Management System

This reference example demonstrates how to perform model-in-the-loop (MIL) and hardware-in-the-loop (HIL) testing of an energy magement system (EMS) design for a More Electric Aircraft (MEA).

Hardware-in-the-Loop Testing of Microgrid Energy Management System

This reference example demonstrates how to perform model-in-the-loop (MIL) and hardware-in-the-loop (HIL) simulation of a grid-connected/islanded microgrid.

Hardware-in-the-Loop Testing of a Shipboard Power System

This reference example demonstrates how to perform model-in-the-loop (MIL) and hardware-in-the-loop (HIL) simulation of a two-zone medium voltage direct current (MVDC) shipboard power system.

Real-Time Testing for VTOL and Conventional Aircraft Development

Learn how Simulink^® Real-Time™ enables real-time controls testing to ensure safety and performance in advanced aircraft designs, including transitioning from desktop simulation, in the webinar highlighting the challenges of aircraft electrification.

Hiroshima University

Testing with a digital twin allows adjusting control parameters or evaluating new control designs seamlessly

Designing a Generic, Software-Defined Multimode Radar Simulator For FPGAs Using Simulink® HDL Coder™ and Speedgoat Real-Time Hardware

This publication focuses on the implementation and testing of a fully-parameterized radar signal processing prototype. A Speedgoat Performance machine with two Simulink^®-Programmable FPGA I/O modules IO342 are used for the implementation of a radar signal processing design containing several common waveforms and tunable parameters and a radar scene generator for delay, doppler, and amplitude measurement.This setup helped increase the simulation fidelity while reducing the time to test.

Hardware in the Loop Testing for Power Electronics

Learn about hardware-in-the-loop (HIL) testing for power electronics applications, such as testing embedded controllers and power converters (leveraging Power-HIL).

Enabling Innovation for Automotive Hardware-in-the-Loop Testing and Control Design

Learn how Speedgoat real-time test solutions, help you to speed up designing and testing automotive control systems.

Hardware-in-the-Loop Testing of Control Algorithms for Modular Multi-Level Converters

Learn how to Test Embedded Controllers for Complex Modular Multi-Level Converters

Electrical Transmission and Distribution

Learn how real-time simulation supports the development, test and maintenance of reliable, cost-efficient, and sustainable power networks and their ancillary services

Advancing Marine Power Systems Using Hardware-in-the-Loop Testing

Discover key challenges for modern shipboard power systems. Learn about Speedgoat / MathWorks^®' scalable HIL solution for real-time testing and simulation of shipboard power electronics and energy power systems

Full-switching Electric Drive FPGA-based Hardware-in-the-Loop Simulation

Learn how to perform hardware-in-the-loop testing of power electronics controllers, without leaving the MATLAB^® and Simulink^® environment.

Speedgoat FPGA I/O modules are used to execute electric drive models with the required resolution and fidelity for simulating high frequency switching dynamics such as current ripple and spatial harmonics. 

Real-Time Testing for Robots and Autonomous Systems

Learn how to test your controllers and control designs for robots and autonomous systems. We will share examples from medical devices, mobile robotics, automated driving, and industrial automation.

Simplify Prototyping and Certification of Medical Control Designs

Learn how you can rapidly design and thoroughly test IEC 62304 compliant control designs with Simulink^® and Speedgoat test systems 

Innovate and Teach Real-Time Control Designs in Academia

This recorded webinar shows how to simulate and real-time execute Simulink^®-based control designs and plant simulations with the click on a button, connected to your hardware under control

Motion Control Prototyping and PLC Testing in Automation Industry

Learn how to prototype control designs for motion control applications in industries such as manufacturing, power systems, and building automation.

Hardware-in-the-Loop Testing for Microgrids

Learn about Speedgoat and Mathworks^®’ the unified real-time solution for microgrid design, testing and validation using Hardware-in-the-Loop (HIL) and Power HIL

Enabling Innovation for Automotive HIL Testing and Control Design

This recorded webinar presents how you can accelerate innovations in the automotive industry with real-time simulation and testing using Speedgoat solutions.

Hardware-In-Loop Testing of Balance of Plant Controller of Fuel Cell System

Learn how modeling and simulating complete fuel cell stack, balance of power software components and other adjacent systems enables engineers from different domains to collaborate with each other and identify design issues early in the design phase. Thoroughly test controller logic in real-time with hardware-in-the-loop (HIL) test bench using Simulink^® Real-Time™ and Speedgoat test system.

Electric Motor Control Webinar Series (2/2): Hardware-in-the-Loop Testing of Electric Motor Control Systems

Learn about real-time solutions accelerate electric motor controls development and testing. By using examples, this two-part webinar series will address topics from controlling and tuning an electric motor to verifying the operation of an electric motor controller against a virtual Motor.

Motor Control Webinar Series (1/2): Rapid Prototyping for Electric Motor Control Designs

Learn about real-time solutions accelerate electric motor controls development and testing. By using examples, this two-part webinar series will address topics from controlling and tuning an electric motor to verifying the operation of an electric motor controller against a virtual Motor.

Fuel Cell Integration for Electrified Propulsion

Explore real-time testing & prototyping solutions for multi-stack fuel cells & battery propulsion systems.

Next Generation Aerospace: Collaborative Simulation and Integration Environments

Learn how you can leverage digital twins and test embedded hardware with Speedgoat HIL simulators for Aerospace applications. Automated and continuous testing of your controllers and controls systems enables you to deliver high-quality systems quickly, and cost-effectively.

Automated and Continuous Hardware-in-the-Loop Testing

Learn about hardware-in-the-loop (HIL) testing and how to efficiently test controls using Speedgoat and MathWorks^®’ unified HIL solution.

Design, Simulation and Hardware-in-the-Loop (HIL) Testing of an Electric Scooter Powertrain

This publication focuses on an algorithm to control a brushless DC motor. A Speedgoat performance machine runs a digital twin of the motor on both the CPU and the FPGA-based I/O module IO334 and is connected via the analog channels to the controller, an MCU by Texas Instruments. With this HIL setup, the performance of the control algorithm was tested. 

Electrification Testing and Certification Workflows in Aerospace

This webinar shows how hardware-in-the-loop testing accelerates testing and certification of more electric or vertical take-off and landing (VTOL) aircrafts.

Battery Management System Integration into an Electronic Control Module for a Hybrid Electric Aircraft

Th­is article focuses on BMS integration into the electronic control module (ECM) of the FVA 30 hybrid electric motor glider using a Speedgoat real-time target machine. The challenge is to design an ECM for reliable data processing, allowing pilots to monitor and control the drivetrain.

Certification Process for a Hybrid Electric Aircraft

The scientific aviation association (FVA) is developing the FVA 30, a hybrid electric motor glider, to research alternative propulsion systems. This article focuses on the certification process of the FVA 30 power train, using a Speedgoat target computer.

Accelerate Development of Electric Vehicles with Real-time Testing

This webinar presents how real-time testing accelerates innovation of automotive electrification, from electric powertrains and power management systems to high-voltage DC battery chargers. It shows how HIL testing is crucial to de-risk integration testing of electric propulsion and battery management systems.

Assessment of State-of-Charge Estimation Method for Lithium-Ion Batteries

In this paper, a numerical model of lithium-ion batteries is developed and deployed to a Speedgoat Baseline target machine. The estimation method for the state-of-charge (SOC), based on a nonlinear autoregressive with exogenous input (NARX) and artificial neural networks (ANNs) that are correctly trained with multiple datasets, is designed, and experimentally validated by hardware-in-the-loop simulation.

Publication on mdpi.com

Hardware-in-the-Loop Testing (HIL) of State-of-Charge (SoC) Estimation for Li-Ion Batteries

This study presents the design and validation of an SoC estimation method for lithium-ion batteries in hybrid-electric vehicles (HEV). The battery model is deployed on a Speedgoat Baseline machine connected to a Raspberry Pi emulating the ECU based on an artificial neural network for HIL testing. The algorithm can estimate the SoC of the battery with 2% accuracy during real-time testing.

Developing and Testing Control Systems with MATLAB and Simulink®

The webinar explains you an engaging learning experience by exposing you to a broad set of real-life testing scenarios, including real-time interactions with digital twin simulators and physical systems, such as motion sensors, electric motors, and robot manipulators.

Timing and Synchronization

Connect distributed systems with multiple nodes and create deterministic real-time applications with Speedgoat timing and synchronization solutions.

Leclanché SA

Developing the next generation Li-ion battery packs for automated guided vehicles.

Full Vehicle Simulation

Create a digital twin of your full vehicle to accelerate testing and verification of control designs and production hardware.

Academia Solutions

Propel your research projects with real-time simulations and discover new ways on how to adapt concepts like Rapid Control Prototyping (RCP) and Hardware-in-the-Loop (HIL) simulations in your laboratory and classroom.

RCP for Wide Bandgap Semiconductors

Control power modules using SiC or GaN wide bandgap (WBG) semiconductors. Speedgoat real-time systems can handle controllers for switching frequencies up to 2 MHz.

Aircraft Onboard Systems

Develop and test controllers for different electric aircraft architectures, including flight cycle evaluation, power electronics switching, and support for grid and aerospace protocols.

Virtual Commissioning

Test and automate testing of large-scale industrial plants and networks with hundreds or thousands of nodes leveraging real protocol interconnects, provided by hardware chips that are used in millions of embedded devices.

Computer Vision

Rapidly build, run, and test video acquisition and control applications with a Speedgoat real-time target machine. There is a wide range of applications from the design of phone cameras to autonomous vehicle systems.

Audio

Highly controlled manipulations are required e.g. for hearing aids, noise cancelling headphones, or car acoustics. Speedgoat real-time systems provide high performance, high-resolution analog and digital I/O, together with MATLAB^® & Simulink^®.

Structural Test

Use the Speedgoat system for fast acquisition and monitoring of signal data and for closed control loops. For example, for active anti-damping systems for bridges and buildings, for simulating environmental scenarios such as earthquakes, or for vibration platforms in the automotive and aerospace industries.

Embedded

Leverage real-time target machines for use as embedded controllers.

Power Hardware-in-the-Loop

Speedgoat provides a wide range of real-time P-HIL solutions to test and verify power electronics and power system components. Utilize complex physical models designed with MathWorks tools on multi-core CPUs and FPGAs with the highest level of performance.

Accelerate Development of Electric Vehicles with Real-Time Testing

Real-time testing accelerates innovation of automotive electrification, from electric powertrains and power management systems to high-voltage DC battery chargers.

Addressing Challenges Involved in Developing Battery Management Systems Using Simulink®

Learn how to model battery cell models as a function of battery charge, temperature and scale the cell model up to a battery pack. Monitor cell voltage and temperature, estimate state-of-charge (SOC) and state-of-health (SOH) across the pack. Use simulations to model feedback and supervisory control algorithms. Generate production-quality C/C++ code for target embedded processors. Perform Hardware-In-Loop testing using Speedgoat real-time test system.

Testing Industrial Power Hardware with Power Hardware-in-the-Loop

This webinar shows you how electrical engineers can use power hardware-in-the-loop (Power HIL) testing with Simscape™ Electrical™ and Speedgoat real-time solutions to test electrical equipment.

Robotic and Autonomous Systems

Expedite innovation and testing of robotics applications, from perception to planning and control design.

UAV Modeling and Testing

Create a real-time virtual testing environment to safely test new designs early in the development and avoid expensive reruns of flight campaigns and reduce downtime in the field.

Robot Assisted Surgery

Design and validate robotic surgery systems, optimize controller accuracy to minimize invasiveness, and introduce remote treatment and diagnosis features.

Rehabilitation Equipment

Design controller prototypes to embed in medical applications such as ventricular assist devices and rehabilitation equipment for musculoskeletal and spinal cord injuries.

Vorticity Dynamics of Leading-Edge Vortex Formation on a Revolving Wing

A leading-edge vortex (LEV) forms and remains stably attached on high angle-of-attack (AoA), low aspect ratio (AR) wings undergoing revolving or flapping motion at an insect’s wing. Here, the LEV formation on a revolving wing is investigated. The 'Shake-the-box' (STB) Lagrangian particle tracking velocimetry (PTV) system and a volumetric patching process helped reconstruct the entire time-resolved flow field.

Publication on springer.com

Real-Time Simulation and Testing for Academic Research and Teaching

Researchers and scientists accelerate the designing process of novel control strategies, verify and validate existing embedded controllers or expand real-world systems with emulated digital twins. This webinar takes you one step further and shows how to close the gap between desktop simulation and controlling actual hardware.

Automotive Industry Solutions

Accelerate control design innovation and test automation for tomorrow’s mobility.

Industrial Automation and Machinery Solutions

Innovative industrial equipment and smart factories need a modern development process and powerful testing tools.

Aerospace Industry Solutions

Realize your Innovation - The need to increase reliability while reducing risk in Aerospace requires new, yet well-proven solutions for prototyping and testing.

Medical Device Solutions

Helping medical personnel perform better, safer, and more efficient treatments.

Consumer Electronics Solutions

Expedite R&D innovation by replacing constraining embedded controls, DSP, and vision hardware with modular and Simulink^®-enabled real-time systems, enabling rapid verification and validation of novel ideas and simulation of digital twins for test automation
Request free workflow demo.

Power Systems Industry Solutions

Design, simulate, and test power system controls and large electrical networks.

Power Electronics Solutions

Design, test, and validate digital controls for electric motors, power converters, and battery management systems.

Civil Engineering Industry Solutions

Ever increasing complexity of buildings, transportation networks, natural resource, and energy supply systems require progressive monitoring and control systems for safe and long-lasting operation.

Railway Industry Solutions

Simulate complete diesel, electrical, and hybrid locomotives to accelerate the development of next-generation railway controls and communication systems.

Applied Physics Solutions

Expedite the Path to Scientific Breakthroughs for the Most Complex and Challenging Problems

Marine Industry Solutions

The future of marine technology is electric. Fast prototyping of Engine Control Units (ECU) and robust testing of onboard microgrids is gaining importance.

Classroom & Lab Solutions

Real-time simulation in the classroom is a new way to inspire students and pivotal in shaping future engineers. Speedgoat's generous academic discount pricing, help academic institutions profit from our real-time solutions.

Speedgoat Collaboration Programs

Speedgoat supports students in science and engineering competitions across the globe, as well as professors and researchers throughout their projects, with curated training and consulting services.

Update Target Operating System to R2020b and Later

Simulink^® Real-Time™ R2020b and later releases ship with a QNX-based 64-bit real-time operating system (RTOS). Learn how to update the software of your existing Speedgoat real-time target machine running on R2020a or earlier.

Part 1: System Configuration of Host PC (R2020a and earlier)

Learn how to set up the host computer for smooth operation, test the host-target communication and troubleshoot basic installation issues.

Part 2: Configuration of Target Machine (R2020a and earlier)

Understand the operating principles of real-time target machines, learn how to configure your target machine and create and transfer a Simulink^® Real-Time™ kernel.

Part 3: Running Real-Time Applications (R2020a and earlier)

Video tutorial series part 3: Understand the main principles of real-time simulation. Configure and prepare Simulink^® models for real-time execution. Deploy Simulink^® models as real-time applications onto Speedgoat target machines.

Part 4: Data Logging (R2020a and earlier)

Monitor, visualize, and log signals using the Simulation Data. Inspector (SDI) on the development computer. Write data to the disk of the target machine using “File Scope” blocks.

Part 5: Control and Instrumentation (R2020a and earlier)

Learn how to use a Simulink^® model as a direct user interface to the real-time application. Tune parameters using MATLAB command lines to control the execution of the real-time application. Create custom user interfaces using MATLAB App Designer.

Part 1: System Configuration of Host PC (R2020b and later)

Learn how to set up the host computer for smooth operation, test the host-target communication and troubleshoot basic installation issues.

Part 2: Configuration of Target Machine (R2020b and later)

Understand the operating principles of real-time target machines, learn how to configure your target machine and create and transfer a Simulink^® Real-Time™ kernel.

Part 3: Running Real-Time Applications (R2020b and later)

Understand the main principles of real-time simulation. Configure and prepare Simulink^® models for real-time execution. Deploy Simulink^® models as real-time applications onto Speedgoat target machines.

Part 4: Data Logging (R2020b and later)

Monitor, visualize, and log signals using the Simulation Data. Inspector (SDI) on the development computer. Write data to the disk of the target machine using “File Scope” blocks.

Part 5: Control and Instrumentation (R2020b and later)

Learn how to use a Simulink^® model as a direct user interface to the real-time application. Tune parameters using MATLAB^® command lines to control the execution of the real-time application. Create custom user interfaces using MATLAB^® App Designer.

Research Solutions

Leading companies use Rapid Control Prototyping (RCP) and Hardware-in-the-Loop (HIL) for faster product development. The flexible and scalable real-time simulation solutions enable you to make your research project successful.

Chassis & Vehicle Dynamics

Develop new control strategies for chassis, steering, and braking (conventional and x-by-wire), suspension (including semi-active and active), and ride comfort systems.

Infotainment & Multimedia Systems

Validate the various infotainment and multimedia system including instrument clusters, navigation systems, or the vehicle audio systems.

Automated Driving (AD) and Advanced Driver Assistance Systems (ADAS)

Design perception, planning, and control algorithms for all levels of driving automation.

Cabin, Body, and Comfort

Test the various components and regarding ECUs for access control, lighting, HVAC, electronic windows, seat control and more.

HIL of Battery Management Systems

Verify, validate, and test battery management system (BMS) controllers and hardware components using hardware-in-the-loop testing (HIL) and battery cell emulators.

Flight Controller and Autoflight Systems

Develop and test your flight controller or complete auto-flight system with the MathWorks^® Aerospace Toolbox™ and Speedgoat systems to simulate conditions for every flight scenario.

Power Management / More Electric Aircraft

Develop and validate power management and control systems for your more electric aircraft using real-time simulation and testing.

Hybrid Aircraft

Simulate and test your electric hybrid hydrogen fuel-cell, and battery propelled aircraft using rapid control prototyping.

FADEC / Engine Controller

Reduce time to market with the MathWorks-Speedgoat workflow for your Engine Control Unit (ECU) or your Full Authority Digital Engine Control (FADEC).

Bypassing

Deploy and test software updates and new hardware builds by implementing a bypassing process in your flight computer.

Sensor Fusion of Vision, Radar and Laser

Develop, improve, and test spectrum monitoring and signal intelligence using solutions from Speedgoat.

Virtual Commissioning

Reduce time and cost by verifying your control and monitoring systems in your lab before installing them in the real plant.

Audio & Speech

Develop and test audio processing electronics for high-fidelity audio, active noise cancelling, and natural language processing (NLP) applications.

Computer Vision

Test in real-time your new algorithms for 3D image recognition, image processing, virtual reality (VR), and augmented reality (AR) solutions for consumer and industrial solutions.

Energy Generation and Distribution

Validate power stations and smart distribution grids, test transmission network failures, design and connect wind and solar power generators.

Automated PLC Testing

Perform reproducible tests of your PLC design in early development stages or as part of the factory acceptance test.

Prototyping of Industrial Controls and Equipment

Learn how to perform model-based control designs of industrial controls and equipment by following the Simulink^® Real-Time™ workflow.

Electric Ship

Simulate and test the IPS of your hybrid solutions, and All-Electric Ships (AES) designed with an Integrated Power System (IPS).

Low-latency Multi-gigabit Communication

Leverage the low latency communication AMD^® Aurora protocol for applications such as plasma control.

RCP for Motor Control Drives

Design, test, and validate novel motor control algorithms for electric motors using Simulink^® and Speedgoat hardware. Use a wide range of functionality like PWM, encoders, and many more.

HIL Testing of Electric Motor Controls

Test, and validate embedded controllers for electric motors and drives using Simulink^® and Speedgoat hardware. Emulate electric motors, inverters, resolvers, among other components.

RCP for Power Converter Control

Use Simulink^® and Speedgoat to develop power converters with high-frequency switching such as high-voltage DC (HVDC), DC/DC converters, grid-tied inverters, grid-forming inverters, and many more.

HIL Testing of Power Electronics

Accelerate the development of power electronic converters such as DC/DC, AC/DC, or MMC  using hardware-in-the-loop testing.

Electric Vehicle Powertrains

Develop powertrains and fast chargers for electric vehicles including electric motors, inverters, transmissions, and power management systems.

Power Hardware-in-the-Loop

Test battery chargers, motor drives, or grid-side inverters using electric power interfaces (both AC and DC power) and HIL simulations. Speedgoat supports power amplifiers from EGSTON Power, Cinergia, and Puissance Plus.

Microgrids and Renewables

Develop microgrids and renewable generation systems using Simscape™ Electrical™ and Speedgoat hardware. Use RCP or HIL testing to develop power electronics components and controllers.

Power Hardware-in-the-Loop

HIL testing of power components like battery chargers using AC or DC power interfaces. Speedgoat supports power amplifiers from EGSTON Power, Cinergia, and Puissance Plus.

HIL of Grid-Side Inverter Controllers

Advance control development using HIL testing. Reuse models from desktop simulation and include switching dynamics up to 5 kHz using CPUs or 100 kHz with FPGAs.

Aalto University

Students' mission to get Finland's first satellite into orbit.

Powertrain

From engine control and fuel emissions control to the development of powertrain systems for hybrid or fully electric vehicles to testing power and battery management systems.

AGCO Fendt

Automated testing of tractor controllers using Hardware-in-the-Loop test benches.

Cranfield University

Novel technique improves speed and accuracy of micrometer scale precision CNC machine by 40%.

IAV

Decreasing Plant Downtimes Through Test Automation of PLC Control Functions with a Digital Twin.

Lehigh University

Achieving breakthroughs in the field of real-time hybrid simulation of tall buildings.

Schindler Elevator Corporation

Validating Schindler’s next generation elevator controller family with hardware-in-the-loop simulation.

Scientific Aviation Association

Find out how students at the Scientific Aviation Association are using a Baseline real-time target machine to accelerate their hybrid powertrain testing and certification process.

Tongji University

Accelerating the development of a driver-adaptive ADAS control strategy using hardware-in-the-loop simulation.

TUM Hyperloop

Building Hyperloop pods to revolutionize terrestrial transportation.

Binder

Rapid development of complex controls algorithms for environmental simulation chambers.

CERN

Reaching unprecedented energy from particle colliders with nanometer precision control.

ClearMotion

A ground-breaking active suspension system to transform the driving experience.

University of Alabama

Critical infrastructure monitoring and control using real-time hybrid simulation.

ETH Zurich

Efficiently harnessing wind power high above the ground using autonomous kites.

Flanders Make

Development of a High Precision Vehicle Drivetrain Test Bench.

GreenTeam

Formula Student racing success achieved through powertrain innovation.

HEIG-VD

‘Ball on wheel’ demonstrator showcases real-time vision, motor control, and protocols technologies.

HOMAG

Accelerating Control Design Development for CNC Machinery.

HuMoTech

Increasing mobility for people with below-knee amputation using a robotic ankle-foot prosthesis.

ICANHear

Improved Communication through Applied Hearing Research.

IMT

Innovative intensive care ventilator automatically adapts to patient’s conditions.

Mobileye

Driving technology towards a fully autonomous vehicle.

Stanford University

Reducing emissions with low-carbon fuels.

SuperGrid Institute

An efficient and compact power converter to enable the supergrids of the future.

TAE Technolgies

High-Fidelity Plasma Controls for Plasma Generator: One Step Closer to Clean Fusion Energy.

University of Agder

Innovation in the classroom: practical training in the Control Theory course for next generation mechatronic engineers in Norway.

Villanova University

Students compete at international level with a state-of-the-art autonomous robotic boat.

Wind Technologies

New drivetrain for wind turbines dramatically decreases lifetime capital costs.

ZKW Lichtsysteme GmbH

Developing Intelligent Lighting Systems for the Next Generation of Vehicles.

Cochlear

Cochlear Ltd. Streamlines Development of Cochlear Implant Sound Processing Algorithms

Corindus

Long-Distance Robot-Assisted Heart Surgery and Beyond.

ebm-papst

Developing electric auxiliary oil pump for automatic transmissions using model-based design.

Incova

Designing intelligent valve-control system for a 20 ton excavator

Leonardo DRS

Performing FPGA-Based Hardware-in-the-Loop Testing of Shipboard Power Electronics Systems.

Nuvera

Reducing commercial vehicle emissions using hydrogen fuel cells.

Ponsse

Cutting development time for harvester control software by at least a year with model-based design.

Preceyes

Accelerating Development of World’s First Eye-Surgery Robot Using Model-Based Design.

Sonova

Shortening product development time for hearing aids and implants with model-based design.

Tata Motors

Developing autonomous driving software including sensor perception, motion planning, and vehicle control algorithms.

University of Michigan

Developing controls for bipedal robots with model-based design.

Volvo

Equipment streamlines product development with a real-time, Human-in-the-Loop Simulator.

Power Electronics for a more Electric Aircraft

Real-Time Simulation and Testing of Power Electronics.

Testing and Virtual Commissioning of PLCs using Digital Twins

This recorded webinar will highlight how you can transform your plant into a digital twin using Simulink^®, how you can test PLC applications in the lab, and make your test execution efficient and reproducible.

HIL Testing of BMS using Simulink® Real-Time and Speedgoat target hardware

This webinar will demonstrate how engineers can perform hardware-in-the-loop (HIL) testing to validate and test their Battery Management Systems design using Simulink^® Real-Time™ and Speedgoat Target hardware.

Hardware-in-the-Loop Testing for Power Electronics Control Design

Power electronics control systems are essential parts of electric-based transportation and renewable energy systems. This growing demand calls for more efficient, higher-performance electric motors which in return are driving the need for more sophisticated power electronics control systems and the embedded software that enables them. 

10 Ways to Speed Design for Digitally Controlled Power Converters with Simulink®

This whitepaper highlights ways to accelerate digital control development for power converters with system-level simulation, how to validate control code on the processor without damaging electrical system hardware and developing real-time simulations of your electrical system.

FPGA-based rapid control prototyping of permanent magnet synchronous motor servo drives

Due to tight time constraints and unknown disturbances, the position control problem in permanent magnet synchronous machine (PMSM) drives remains exceedingly challenging. Download this technical article to learn more about experimental validation of a cascade control structure for position control in PMSM drives.

Sensor Fusion and Motion Control for Autonomous Racing Cars

Learn how a research team from the Technical University of Munich uses Speedgoat real-time solutions, MATLAB^® and Simulink^® to develop and test an autonomous driving software stack, capable of operating a racing vehicle close to its physical limits. As an integral part of the framework, sensor fusion and motion control algorithms are optimized and validated for safe and accurate real-time operation, using Rapid Control Prototyping and Hardware-in-the-Loop simulation.

Speed Up Digital Control Development for Motors, Power Converters, and Battery Systems with Simulink®

Digital control design for power electronics using Simulink^® makes it easy to try new ideas, test them, and go to hardware without coding. You can use system-level models for desktop simulation, real-time simulation, and production code generation, speeding up designing and testing your power electronics control systems.

Electric Motor Controls with Simulink®

Design, prototype, and test your brushless DC motor controls using Simulink^® and Speedgoat hardware

Real-Time Simulation and Testing with Simulink® Real-Time™ and Speedgoat Hardware

Speedgoat real-time solutions and Simulink^® are expressly designed to work together for creating real-time systems for desktop, lab, and field environments.

Hardware-in-the-Loop Simulation

Effectively Test Controls with Real-Time Digital Twins and Automated Testing.

Rapid Control Prototyping

Accelerate Control Design Innovation With Model-Based Design Ready Solutions for a Worry-Free Test and Simulation Experience.

Simscape™ Vehicle Templates

Run custom Simscape™ Vehicle Models in Real-Time

Introduction to Speedgoat Simulink®-Programmable FPGAs

Learn about the Simulink^®-integrated workflows to program FPGA I/O modules easily and directly from your model.

Real-Time Driver-in-the-Loop Reference Example

Learn how to create and run real-time virtual vehicles and Driver-in-the-Loop simulators to safely test and validate your new designs.

Lane Detection on FPGA Reference Example

Learn how to perform hardware-accelerated vision processing for driver assistance and automated driving systems by implementing real-time lane detection.

Real-Time Lane Keeping Assist

Prove and test your model predictive lane following controller using real-time virtual vehicle simulation with raw synthetic camera data.

Rapid Control Prototyping for Power Electronics Control Design

This recorded webinar shows how power electronics control engineers can use rapid control prototyping (RCP) with Simulink^® Real-Time™ and Speedgoat real-time target machines to validate Simulink^® algorithms against electric motor and power converter prototype systems.

Hardware-in-the-Loop Testing of Control Algorithms for Modular Multi-Level Converters

Learn how to use Simulink^®, Simscape™ Electrical™, and Model-Based Design to develop and test the embedded software that controls a multi-level power converter and improve your knowledge of simulating power electronics control systems or wants an introduction to code generation from Simulink^® models.

Accelerate Development of Power Systems with Real-Time Testing

This webinar will present how real-time solutions are being used to accelerate electric power generation, renewable energy integration, and onboard systems development. It highlights how Speedgoat real-time solutions enable electrical and control engineers to develop, test, and validate their innovations with hardware prototypes.

HIL and Automated Testing Applications for Aerospace

This recorded webinar presents how hardware-in-the-loop (HIL) testing is used to develop, test, and validate new aircraft components or systems such as controllers for aileron actuators. 

Advancing Electrification with Real-Time Testing

This recorded webinar presents how you can leverage real-time solutions to accelerate renewable energy integration and electric vehicle developments.

Independent Generation of Sequence Elements by Motor Cortex

Rapid execution of motor sequences depends on fusing movement elements into cohesive units that are executed holistically. The contribution of the primary motor and dorsal premotor cortex to this ability is determined in this paper. Also, the hypothesis that movement elements fuse makes specific predictions regarding three forms of activity, preparation, initiation, and execution is investigated.

Publication on nature.com

Developing and Testing Next Generation Control Systems

Learn how Speedgoat enables you to prototype and test complex control algorithms using full-vehicle simulation. By building a virtual environment for safe and realistic testing and verification, you can reduce prototype testing costs.

Hardware-in-the-Loop (HIL) Testing of an Electric Motor Controller

This webinar demonstrates Hardware-in-the-Loop (HIL) testing of a controller for a 3-phase inverter and permanent magnetic synchronous motor (PMSM). Learn how to run a motor and inverter model in real-time using Simulink^® Real-Time™ and a Speedgoat Real-Time Target Machine. Learn how to configure your model for real-time testing, control your HIL application from within Simulink^®, create and manage test scenarios, verify and validate functional requirements, generate test reports, and automate your regression tests in the context of Continuous Integration.

Real-Time Simulation and Control of High-Performance All-Electric Autonomous Racing Cars

Discover the full autonomous software stack from Technical University of Munich’s Roborace team. Designed with Simulink^® and ready to run on Speedgoat.

Using Simulink to Develop Grid-Tied Solar Inverter Controls

Learn how you can design, implement, and test the controller code for a 3-phase grid-tied solar inverter using Simulink^®.  Learn how you can develop a controller that can adhere to grid codes and maintain inverter grid connection during upset conditions.

FPGA-Based HIL Testing of Grid-Side Converters

Use an integrated workflow to test grid-side converters safely without requiring physical prototypes.

Current Control and FPGA-Based Real-Time Simulation of Grid-Tied Inverters

Learn how to synthesize a controller for a grid-side converter using observer-based linear quadratic regulator (LQR) and how to perform hardware-in-the-loop testing of grid-tied inverter using Simulink^® and Speedgoat hardware.

Real-Time Simulation and Testing: Hardware-in-the-Loop

Hardware-in-the-Loop (HIL) Simulation and Testing with Simulink^® Real-Time™ and Speedgoat target computers.

Continental: Accelerated Development Using Rapid Control Prototyping

This project shows a solution whereby engineers can quickly move from SIL to HIL using a Speedgoat system with programmable FPGA technology instead of an original ECU. 

CPU, FPGA, and I/O Solutions for Real-Time Simulation and Testing with Simulink®

In this webinar, MathWorks^® together with Speedgoat will showcase how to perform real-time simulation and testing, enabling you to rapidly and continuously test and prove your designs, from desktop simulation to testing your designs in real time on hardware platforms.

A Self-Tuning Robust Control System for Nonlinear Simulation

A transfer system is used to enforce the interface interaction between computational and physical substructures in a real-time hybrid simulation. A model-based, multilayer nonlinear control system is developed to accommodate extensive performance variations and uncertainties in a physical substructure. This work aims to extend the application of real-time simulation to investigating failure, nonlinearity, and nonstationary behavior. 

Publication on wiley.com

Leading-Edge Vortex and Transient Lift on a Revolving Wing at Low Reynolds Numbers

The transient formation and the stable attachment of the leading-edge vortex (LEV) contribute to the high lift generation of an insect wing when it revolves at high angles of attack. This study examined the leading-edge vortex (LEV) formation and the transient lift generation on a revolving wing, using combined computational and experimental methods.

Publication on sciencedirect.com

Model-Based Design for Predictive Maintenance, Code Generation and Real-Time Testing

This video shows how to automatically generate C code from classification models. First, you’ll see how to validate your algorithm on the desktop. Then, once it is validated, the video will show how to generate code. Next, the video walks through how to use Simulink^® to deploy the classification model onto a B&R PLC, and then test it on a real-time representation of the system using a Speedgoat machine.

Modeling and Analysis of Medium Frequency Transformers for Power Converters

A mathematical model of a 3-phase medium frequency transformer (MFT) in an isolated DC-DC power converter, suitable for electromagnetic transient and steady-state simulation is developed. The transformer modeling methods are reviewed, and the Lagrange energy method is used to derive a physically motivated model for circuit analysis.

Publication on edu.pl

Verification of a Geographically Distributed Real-Time Hybrid Simulation Platform

This study presents a distributed real-time hybrid simulation (dRTHS) platform that enables the integration of geographically distributed physical and numerical components across the Internet. A series of numerical and experimental studies is evaluated, and it is demonstrated that dRTHS is feasible for coupling laboratory capabilities and is a viable alternative to traditional testing techniques.

Publication on wiley.com

Power Hardware in-the-Loop Validation of DC-DC Power Converter

The paper describes the development of a power converter small-scale mock-up and a real-time model of an offshore wind farm. Power Hardware In-the-Loop (PHIL) validation is proposed for a demonstration of grid architecture and control principles. Results obtained with a test bench underline the importance of PHIL testing in the power converter development for DC grid applications.

Publication on ieeexplore.ieee.org

Experimental Validation of Model Predictive Control Applied to the Azura Wave Energy Converter

Ocean wave energy is a promising area of renewable energy development. However, there are unique operational challenges, particularly modeling, estimation, and control. This article presents a model-predictive control (MPC) formulation and its experimental testing applied to the 1/15th scale Azura wave energy converter developed by Northwest Energy Innovations (NWEI).

Publication on ieeexplore.ieee.org

Adaptive Model Predictive Control in All-Electric Ship Microgrids

Hybrid energy storage systems have been widely used in transportation, microgrid, and renewable energy applications to improve system efficiency and enhance reliability. However, parameter uncertainty can significantly affect system performance. An adaptive model predictive control is developed to address this issue. Both simulation and experiments are performed to show the effectiveness of the proposed adaptive model predictive control. 

Publication on sciencedirect.com

Motion Planning and Experimental Validation for an Autonomous Bicycle

This paper introduces a prototype autonomous two-wheeled vehicle developed for experimental verification of motion planning and control algorithms. Finally, it presents and discusses experiments run on the actual vehicle for a particular maneuver. It emphasizes the differences between the trajectories created by different vehicle models.

Publication on ieeexplore.ieee.org

Software Simulation Tool for Design of the Energy Management System in Elevators

This work shows the development of a software tool that provides realistic operation power profiles in elevators for residential and public buildings applications to accelerate Energy Management System prototyping. The simulator is validated and verified through computer simulations, through a HIL (Hardware-in-the- Loop) platform and is finally validated using a full-scale laboratory prototype.

Publication on ieeexplore.ieee.org

Model-based Controller Design for a Knuckle Boom Crane

This paper proposes a predictive anti-sway control (ASC) scheme at kinematic level for a knuckle boom crane. Model predictive control (MPC) allows to consider dynamic limitations imposed by the crane's structure during payload stabilization. Operability of the derived control scheme is demonstrated for an initial load-deflection using a robot-based test setup.

Publication on ieeexplore.ieee.org

Control of Delayed Bilateral Teleoperation System for Robotic Tele-Echography

This paper describes the development of a controller for a bilateral robotic system for tele-echography with delayed communications. The problems are solved using a novel approach to bilateral teleoperation control, based on a complete parameterization of feasible teleoperators. Experimental results show the potential of the proposed control method.

Publication on ieeexplore.ieee.org

A Balanced Hybrid Active-Passive Actuation Approach for High-Performance Haptics

This paper describes the design of a high-performance balanced hybrid haptic device. The actuation, design, and control approaches are described and experimentally validated. The results show significant improvements in the stability and rendering range of the device. 

Publication on ieeexplore.ieee.org

A Software Architecture for an Autonomous Racecar

The authors present a detailed description of the software architecture used in the autonomous Roborace vehicles by the TUM-Team. The architecture combines the autonomous software functions perception, planning, and control, which are modularized for use on different hardware and to drive the car on high-speed racetracks. 

Publication on ieeexplore.ieee.org

Robotic Glove with Integrated Sensing for Intuitive Grasping Assistance

This paper presents a fully integrated soft robotic glove with multi-articular textile actuators, custom soft sensors, and an intuitive detection controller. The state-machine-based controller uses signals from integrated sensors to detect relative changes in hand-object interactions.

Publication on ieeexplore.ieee.org

A Lightweight Force-Controllable Wearable Arm Based on Magnetorheological-Hydrostatic Actuators

This paper studies the feasibility of using magnetorheological (MR) clutches coupled to a low-friction hydrostatic transmission.  This combination provides a highly effective yet lightweight, force-controllable supernumerary robotic arm (SRL). Experimental studies conducted on a one-DOF test bench and validated analytically demonstrate a high force bandwidth (>25 Hz) and an excellent ability to control interaction forces even when interacting with an external impedance.

Publication on ieeexplore.ieee.org

Hardware-in-the-Loop (HIL) Testing of Battery Management System (BMS) using Simulink® Real-Time™ and Speedgoat target hardware

This webinar demonstrates how engineers can perform hardware-in-the-loop (HIL) testing to validate and test their Battery Management Systems design using Simulink^® Real-Time™ and Speedgoat Target hardware.

It showcases the modeling of a battery pack and battery management algorithms such as SOC estimation and cell balancing using Simulink^®. The webinar also shows how to perform HIL simulation by running the battery pack plant model in real time on Speedgoat test system, to find errors before deploying the actual hardware in the field

Topological Analog Signal Processing

Researchers at the Swiss Federal Institute of Technology in Lausanne (EPFL) used a Speedgoat Performance real-time target machine and a high-speed analog IO131 module to validate an acoustic topological equation solver experimentally. The setup allowed them to demonstrate the robustness of analog signal processors (ASP) and is an essential step towards a new generation of ultrafast all-optical ASPs. 

Publication on nature.com

Wave Tank and Bench-Top Control Testing of a Wave Energy Converter

This paper details the design and execution of an experiment for evaluating the capability of model-scale wave energy converters to execute basic real-time realizations of prospective control algorithms. Model-scale hardware, system, and experimental designs are considered, meeting the dynamic requirements of a control system. A dry bench testing method is proposed and utilized for efficient rapid control prototyping.

Publication on sciencedirect.com

A Real-Time Simulation Environment for Autonomous Vehicles in Highly Dynamic Driving Scenarios

In May 2018, a group of researchers from the Technical University of Munich (TUM) won the first Roborace Human + Machine Challenge. TUM's autonomous driving software stack manages environment perception, autonomous navigation, and trajectory tracking.

Emm! Solutions

Implementing progressive mobility solutions such as autonomous driving using rapid prototyping, the modularization of functionality, and the parallel use of simulation.

An Ankle-Foot Prosthesis Emulator Capable of Modulating Center of Pressure

The authors of this paper developed an ankle-foot prosthesis emulator to restore human feet' balancing and push-off characteristics. The proposed emulator system consists of two torque-controlled forefoot digits and a torque-controlled heel digit which meets all design criteria to modulate the center of pressure and ground reaction force effectively.

Publication on ieeexplore.ieee.org

An Intelligent Controller based Power Grid Interconnected System for Reliable Operation

The main objective of the research presented is to control the unidirectional boost converter (UBC) by implementing an intelligent controller (IC). The IC continuously captures power conversion based on power output data from wind and solar energy. Then, it injects gate pulses into a power electronic switch based on the data value. The overall design and simulations are performed using MATLAB^®/Simulink^®.

Publication on ieeexplore.ieee.org

Robust and Reliable Wireless Communication between Smart NOx Sensor and the Speedgoat Engine Control Module

The smart NOx sensor case study investigates the possibility of replacing existing wired CAN bus connections between the smart NOx sensor and the Speedgoat rapid control prototyping system and possible future wireless communication with ECU. In addition, criteria like the transmission in industrial environments, packet loss, RSSI, bit error rate, reliability, and security of the wireless solution are analyzed.

Publication on osuva.uwasa.fi

Robust Switching Control Method to Achieve Tokamak-Shaped Plasma

A robust switching control method with state vector matching and a novel approach for the feedback system simulation are presented in this paper. First, the plant model reconstructs plasma equilibria from experimental data and calculates plasma shape changes. Then, the control system is discretized and run on a high-speed computer for experiments on a real-time testbed.

Publication on sciencedirect.com

Robust switching control in the Feedback for Tokamak Plasma Shape

A hierarchical robust switching control method with state vector matching is proposed. The plasma shape is controlled via a magnetic field at X-point and poloidal fluxes on the plasma separatrix. Using a combination of advanced reconstruction code with isoflux control leads to high performance.

Publication on sciencedirect.com

Exploration of Real-Time Model Predictive Control in All-Electric Ship Propulsion Systems

Shipboard load fluctuations, such as propulsion-load fluctuations and pulse power loads, can significantly affect power system reliability. This paper explores the implementation and evaluation of a real-time model predictive control-based energy management strategy for load fluctuation mitigation in an all-electric ship. The real-time implementation includes a specially tailored problem formulation, an efficient optimization algorithm, and a multi-core hardware implementation

Publication on sciencedirect.com

Building Real-Time Driver-in-the-Loop Simulators

Learn how to use Vehicle Dynamics Blockset™ and the Unreal Engine interface to visualize driving scenarios. Use Speedgoat test system with Simulink^® Real-Time™ to create a real-time simulator. Set up a driving simulator with pedal and steering wheel hardware to perform driver-in-the loop testing

Minimum Curvature Trajectory Planning and Control for an Autonomous Race Car

This paper shows a software stack capable of planning a minimum curvature trajectory for an autonomous race car based on an occupancy grid map. It introduces a controller design that allows following the trajectory at the handling limits. The the quadratic optimization problem is extended  for improved accuracy, the introduction of curvature constraints, and the reduction of linearization errors in corners.

Publication on tandfonline.com

Design and Experimental Characterization of a Hydrostatic Transmission for Upper Limb Exoskeletons

The authors introduce a design of a novel hydrostatic air-liquid torque transmission system for an upper limb exoskeleton. Transmission of fluid on rolling membrane cylinders guarantees leakage-free operation, no backlash, and zero stick friction. By employing a new test bench of the fluid transmission system developed, they conducted experiments to characterize the static and dynamic response for different design parameters.

Publication on ieeexplore.ieee.org

Hands-On in Signal Processing Education at Technische Universität Darmstadt

This paper shares the experiences gained by conducting hands-on learning in signal processing as part of the engineering program at Technische Universität Darmstadt. It describes the variety of laboratories, projects, lectures, and seminars offered to expose students to state-of-the-art research and advanced equipment.

Publication on ieeexplore.ieee.org

Real-Time Learning of Efficient Lift Generation on a Dynamically Scaled Flapping Wing

This work presents a successful application of a policy search algorithm to a real-time robotic learning problem, where the goal is to maximize the efficiency of lift generation on a dynamically scaled flapping robotic wing. Learning is performed for different prescribed stroke amplitudes to find the optimal wing pitching amplitude and the stroke-pitch phase difference that maximize lift generation's power loading (PL), a measure of aerodynamic efficiency.

Publication on ieeexplore.ieee.org

Phase-Exact Adaptive Feedforward Control Modulated Gear Mesh Vibration at 4.7 kHz

This paper proposes a setup for active vibration control to suppress transmission of gear mesh vibration to the surrounding structure using piezoelectric inertial mass actuators. The proposed control algorithm uses multiple adaptive feedforward controllers. To achieve the desired sampling frequency in real-time several optimizations are introduced.

Publication on ieeexplore.ieee.org

Experimental Study on a Nonlinear Observer Application for a Flexible Parallel Robot

A flexible robot in lambda configuration has been modeled and built-in hardware. The elastic deformation of the flexible bodies is designed based on the high gain observer method and experimentally tested on the lambda robot to estimate the end-effector positions. It shows high accuracy in real-time even for the highly flexible parallel robot.

Publication on springer.com

Systematic Design of Multivariable Fuel Injection Controllers for Advanced Diesel Combustion

With multiple fuel injections per combustion cycle, the advanced diesel combustion process depends on all injection pulses in a coupled way. This work describes the cycle-to-cycle fuel injection control problem. A control-oriented model is introduced and locally validated with experimental data. Finally, a systematic design approach is proposed to synthesize a multivariable fuel injection controller.

Publication on ieeexplore.ieee.org

Flexible Automation Driven by Demonstration: Leveraging Strategies that Simplify Robotics

Flexible manufacturing environments can adapt to tasks daily or hourly. The classic approach to automation is less suitable here; buying a dedicated robot for each set of tasks is inefficient, and coding each task is very time-consuming. The authors introduce a framework for modular robots that determines their structure and program based on human demonstrations to solve these problems.

Publication on ieeexplore.ieee.org

Validation of a Servo-Hydraulic Model Coupled with a Nonlinear System

In the study, a controllable canonical physics-based model of a servo-hydraulic actuator coupled with a nonlinear physical system form is validated for position tracking control purposes. This is done by designing and fabricating a nonlinear device to exhibit various nonlinear force-displacement profiles depending on the initial condition and the type of materials used as replaceable coupons.

Publication on sciencedirect.com

Real-Time Loudness Normalization with Combined Cochlear Implant and Hearing Aid Stimulation

This study features an acoustic loudness model running on a Speedgoat real-time system. Researchers tested speech perception and sound localization of bimodal listeners, both in standard loudness growth configuration and modified loudness growth configuration. The subjects have also used linear and compressive hearing aids.  

Publication on ncbi.nlm.nih.gov

An Open Development Platform for Auditory Real-Time Signal Processing

This paper presents an auditory real-time processing algorithm platform ("Open Development Platform", ODP) that simplifies developing novel real-time algorithms. ODP leverages MATLAB^® / Simulink^® and runs on Speedgoat real-time target machines. The authors show how they developed a fully functional hearing aid for research purposes using ODP.

Publication on sciencedirect.com

Visual Motion Tracking and Sensor Fusion for Kite Power Systems

Line-based estimation of the kite state, including position and heading, limits the achievable cycle efficiency of such airborne wind energy systems. Experimental results of a visual motion tracking estimation and an inertial sensor fusion on a ground-based kite power system in pumping operation are presented and compared to an existing estimation scheme based on line.

Publication on springer.com

Sound-Quality Evaluation of Adaptive Feedback Cancellation Algorithms

This paper presents a subjective and objective perceptual sound-quality evaluation of different algorithms for adaptive feedback cancellation (AFC) with both speech and music signals. Three different algorithms are compared. The subjective evaluation results are then compared with the results obtained by several objective measurements.

Publication on ieeexplore.ieee.org

Rapid Control Prototyping Tool for the Sirius High-Dynamic DCM Control System

The monochromator is known to be one of the most critical optical elements of a synchrotron beamline. A Simulink^® implementation running on a Speedgoat Performance real-time target machine identifies and ensures controlling the dynamic behavior of all subcomponents in the prototype. In addition, this approach enables rapid prototyping by allowing a shared environment for system modeling and testing.

Publication on inspirehep.net

Mechatronic Architecture Development of UX-1

This paper presents a novel design of an underwater robot for exploring abandoned mines. Rapid prototyping of controllers during the development phase of the robot is described, and the mechatronic development of the main controller unit, propulsion system, and ballast is investigated. The robot's mechatronic architecture and the low-level control algorithms demonstrate its potential for performing real-time operations.

Publication on ieeexplore.ieee.org

Real-Time Force Control for a Servo-Hydraulic Actuator Systems

Servo-hydraulic actuators have been widely used but existing control algorithms face some issues. This paper introduces a new real-time force control method utilizing the adaptive time series (ATS) compensator and compliance springs. Unlike existing approaches, the proposed force control methods do not require the structural modeling of a test structure, making it easy to be implemented primarily for nonlinear systems.

Publication on wiley.com

Drag Reduction in Turbulent Boundary Layer via Real-Time Control

This paper demonstrates an approach to real-time control of large-scale structures. Real-time controls reduce the streamwise turbulence intensity as well as skin-friction drag.

Publication on sciencedirect.com

Control for a Supercapacitor Hybrid Energy Storage System Used in Electric Vehicles

This paper proposes the control strategy of a fully active hybrid energy storage system, which uses two bi-directional DC/DC converters to decouple supercapacitors and the battery pack from the DC bus. A Lyapunov-function-based controller regulates DC bus voltage, and a sliding mode controller, controlling the battery and supercapacitor currents, is designed. Their performance is validated by simulation and experimental data. 

Publication on sciencedirect.com

Design and Implementation of Bi-Directional DC-DC Converter for Wind Energy System

This paper features designing and implementing a bi-directional DC-DC converter with a Speedgoat controller for wind energy conversion systems. An energy storage device is used to compensate for the fluctuations and to maintain a smooth and continuous power flow in all operating modes to load. The complete system is implemented in MATLAB^®/Simulink^® and verified with hardware.

Publication on scirp.org

Fault Diagnosis of Star-Connected Auto-Transformer-Based 24-Pulse Rectifier

The authors propose a fault diagnosis method for star-connected auto-transformer-based 24-pulse rectifier unit (ATRU) by integrating artificial neural networks (ANN) with wavelet packet decomposition (WPD) and principal component analysis (PCA). First, the fault features are extracted and simulated in a real-time simulation platform. The obtained data is then analyzed with MATLAB^® toolboxes and verified with a digital signal processor.

Publication on sciencedirect.com

Rapid Control Prototyping for Permanent Magnet Synchronous Motor (PMSM) Control

Power Electronics and Motor Control Prototyping on CPU/FPGA Target Hardware with Simulink^® Real-Time^TM.

Active Magnetic Bearing for Ultra-Precision Flexible Electronics Production System

Roll-to-roll printing of flexible electronics on continuous plastic films could enable the production of flexible electronics at high speed and low cost. However, rolling element bearings cannot be deployed because of the precision requirements. Instead, active magnetic bearings (AMB) with optical positioning encoder feedback are used.

Publication on lib.cranfield.ac.uk

Transient Engine Emulation within a Laboratory Testbed for Aircraft Power Systems

This paper presents an engine emulation system utilized within a hardware-in-the-loop (HIL) test environment for aircraft power systems. It focuses on the software and hardware interfaces that enable the coupling of the rotor dynamics model that provides the critical link between the modeled dynamics of the engine and the measured dynamics of the generator.

Publication on dx.doi.org

Speech Intelligibility with Binaurally linked Hearing Aids

This study investigates whether using spatial cues benefits speech intelligibility for binaurally linked hearing aids. The control algorithms and signal processing models were tested on a Speedgoat target machine to quickly switch between different versions of the algorithms and test them in real-time.

Publication on proceedings.isaar.eu