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Collection of videos, reference examples, and more to support your real-time simulation and testing workflows

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Nuvera

Nuvera

Reducing commercial vehicle emissions using hydrogen fuel cells.

Customer Success Stories

Hardware-in-the-Loop

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

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-TimeTM and Speedgoat Target hardware.

Recorded Webinars

Hardware-in-the-Loop

 Rapid Control Prototyping for Power Electronics Control 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.

Recorded Webinars

Rapid Control Prototyping

Developing and Testing Next Generation Control 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.

Recorded Webinars

Hardware-in-the-Loop

Rapid Control Prototyping

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

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

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

Recorded Webinars

Hardware-in-the-Loop

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

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.

Recorded Webinars

Hardware-in-the-Loop

Rapid Control Prototyping

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

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.

Recorded Webinars

Hardware-in-the-Loop

Rapid Control Prototyping

Adaptive Model Predictive Control in All-Electric Ship Microgrids

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

Published Papers

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

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

Published Papers

Rapid Control Prototyping

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

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

Published Papers

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

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

Power Electronics and Motor Control Prototyping on CPU/FPGA Target Hardware with Simulink Real-TimeTM.

Recorded Webinars

Rapid Control Prototyping

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