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

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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

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

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.

Hardware-in-the-Loop

Recorded Webinars

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

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.

Recorded Webinars

Hardware-in-the-Loop

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

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

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

Published Papers

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

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

Hardware-in-the-Loop

Recorded Webinars

An Intelligent Controller based Power Grid Interconnected System for Reliable Operation

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

Rapid Control Prototyping

Published Papers

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

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

Published Papers

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

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

Published Papers

Rapid Control Prototyping

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

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

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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