Accelerating the pace of engineering and science

Model-Based Design for Control Systems

Terry Denery, MathWorks
Sam Mirsky, MathWorks

In this presentation, you’ll learn how to use MATLAB and Simulink to develop an embedded control system including implementation and testing on hardware. The demonstration emphasizes how to design, simulate, and test a complex system that incorporates multiple domains—such as mechanical, electrical, and hydraulic—that are typically isolated across different software platforms and not simulated in a common framework. Starting from underlying physical principles, we build models that can expand and accelerate the development process through simulation. You see how to simulate the controller and the plant together, optimize the control system, and generate code for HIL testing—all before building a prototype. We demonstrate the integration of simulated and real components to enable hardware-in-the-loop (HIL) testing in support of early verification and validation (V&V) against top-level requirements. You will learn how to:

  • Build models of mechanical, electrical, and control software components
  • Employ models to optimize component designs against system requirements
  • Use models to support the production and testing of integrated systems

Product Focus

  • Simulink Real-Time

Recorded: 20 Mar 2013