Knowledge Center

Aalto University

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

Cranfield University

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

Lehigh University

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

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.

University of Alabama

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

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.

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

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. 

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.

CERN

Reaching unprecedented energy from particle colliders with nanometer precision control.

ETH Zurich

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

GreenTeam

Formula Student racing success achieved through powertrain innovation.

HuMoTech

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

Stanford University

Reducing emissions with low-carbon fuels.

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.

University of Michigan

Developing controls for bipedal robots with model-based design.

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.

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.

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

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

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