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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

FPGA-based rapid control prototyping of permanent magnet synchronous motor servo drives

FPGA-based rapid control prototyping of permanent magnet synchronous motor servo drives

Due to tight time constraints and unknown disturbances, the position control problem in permanent magnet synchronous machine (PMSM) drives remains exceedingly challenging. Download this technical article to learn more about experimental validation of a cascade control structure for position control in PMSM drives.

Whitepapers

Speed Up Digital Control Development for Motors, Power Converters, and Battery Systems with Simulink

Speed Up Digital Control Development for Motors, Power Converters, and Battery Systems with Simulink

Digital control design for power electronics using Simulink® makes it easy to try new ideas, test them, and go to hardware without coding. You can use system-level models for desktop simulation, real-time simulation, and production code generation, speeding up designing and testing your power electronics control systems.

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 Lane Keeping Assist

Real-Time Lane Keeping Assist

Prove and test your model predictive lane following controller using real-time virtual vehicle simulation with raw synthetic camera data.

Reference Examples

Rapid Control Prototyping

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

AGCO Fendt

AGCO Fendt

Automated testing of tractor controllers using Hardware-in-the-Loop test benches.

Customer Success Stories

Hardware-in-the-Loop

IAV

IAV

Decreasing Plant Downtimes Through Test Automation of PLC Control Functions with a Digital Twin.

Customer Success Stories

Hardware-in-the-Loop

Tongji University

Tongji University

Accelerating the development of a driver-adaptive ADAS control strategy using hardware-in-the-loop simulation.

Customer Success Stories

Hardware-in-the-Loop

TUM Hyperloop

TUM Hyperloop

Building Hyperloop pods to revolutionize terrestrial transportation.

Customer Success Stories

Hardware-in-the-Loop

Hiroshima University

Hiroshima University

Testing with a digital twin allows adjusting control parameters or evaluating new control designs seamlessly

Hardware-in-the-Loop

Customer Success Stories

Leclanché SA

Leclanché SA

Developing the next generation Li-ion battery packs for automated guided vehicles.

Hardware-in-the-Loop

Customer Success Stories

ClearMotion

ClearMotion

A ground-breaking active suspension system to transform the driving experience.

Customer Success Stories

Rapid Control Prototyping

Flanders Make

Flanders Make

Development of a High Precision Vehicle Drivetrain Test Bench.

Customer Success Stories

Rapid Control Prototyping

GreenTeam

GreenTeam

Formula Student racing success achieved through powertrain innovation.

Customer Success Stories

Rapid Control Prototyping

Mobileye

Mobileye

Driving technology towards a fully autonomous vehicle.

Customer Success Stories

Rapid Control Prototyping

Stanford University

Stanford University

Reducing emissions with low-carbon fuels.

Customer Success Stories

Rapid Control Prototyping

ZKW Lichtsysteme GmbH

ZKW Lichtsysteme GmbH

Developing Intelligent Lighting Systems for the Next Generation of Vehicles.

Customer Success Stories

Rapid Control Prototyping

Incova

Incova

Designing intelligent valve-control system for a 20 ton excavator

Customer Success Stories

Rapid Control Prototyping

Nuvera

Nuvera

Reducing commercial vehicle emissions using hydrogen fuel cells.

Customer Success Stories

Hardware-in-the-Loop

Ponsse

Ponsse

Cutting development time for harvester control software by at least a year with model-based design.

Customer Success Stories

Rapid Control Prototyping

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