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

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Sensor Fusion and Motion Control for Autonomous Racing Cars

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.

Rapid Control Prototyping

Hardware-in-the-Loop

Whitepapers

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

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.

Hardware-in-the-Loop

Rapid Control Prototyping

Whitepapers

Electric Motor Controls with Simulink

Electric Motor Controls with Simulink

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

Reference Examples

Rapid Control Prototyping

Hardware-in-the-Loop

Simscape Vehicle Templates

Simscape Vehicle Templates

Run custom Simscape Vehicle Models in Real-Time

Reference Examples

Hardware-in-the-Loop

Lane Detection on FPGA Reference Example

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.

Reference Examples

Hardware-in-the-Loop

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

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.

Reference Examples

Hardware-in-the-Loop

Rapid Control Prototyping

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

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.

Reference Examples

Hardware-in-the-Loop

Rapid Control Prototyping

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

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.

Published Papers

Hardware-in-the-Loop

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