Knowledge Center

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.

Introduction to Speedgoat Simulink-Programmable FPGAs

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

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.

Speedgoat Configurable I/O Modules

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

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.

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. 

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.

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

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

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