Model-Based Design of Control Systems скачать в хорошем качестве

Model-Based Design of Control Systems

In this webinar, you’ll learn how MATLAB & Simulink are utilized in the development of an embedded control system including implementation and testing on hardware. Our demonstration will emphasize 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 thus not simulated in a common framework. Starting from underlying physical principles, we will build models that can expand and accelerate the development process through the use of simulation. You will see how you can simulate the controller and the plant together, optimize the control system, and generate code for HIL testing—all before building a prototype. We will 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 • Employ models to support the production and testing of integrated systems. Download the free Ebook, Managing Model-Based Design: https://bit.ly/3sj4pAo About the Presenters: Terry Denery is an expert in Modeling. He runs hundreds, if not thousands, of simulations to pursue the best design of electrical, mechanical, and control systems. Sam Mirsky’s forte is working with the hardware; these two skill sets complement each other perfectly. Using MathWorks tools Sam can rapidly prototype Terry’s best design, and prove whether it will really work or not. This could not be done without good modeling and rapid conversion of these models into real hardware systems. Together, Terry and Sam will show how to do this in MATLAB & Simulink, the platform for Model-Based Design. Chapters: 0:00 Introduction 3:13 Dynamic Hardware Modeling 10:46 Building the Simulink Model 19:02 Hardware-in-the-Loop (HIL) Testing 24:09 Estimate the Motor Parameters 28:44 Tuning the Plant Design 31:17 Test Controller on Hardware 34:52 Modeling Static Friction 38:27 Tuning the Controller Design 42:41 Filtering the Hardware Interface 43:40 Hardware Interface Subsystem 44:26 Testing the Controller