Validating Motor Control Algorithms with Hardware-In-The-Loop Testing
Overview
Choosing a toolchain for developing functionally safe electrical and/or electronic (E/E) systems is a demanding task. On one hand, the toolchain has to let engineers automate as many repetitive (and as such error-prone) tasks as possible.
Automation capabilities on the other hand may lead to silently injecting faults into the final product, or failing to detect issues therein. Therefore, standards require to manage the risk associated with automation use cases of development toolchains.
In this webinar, you will learn how to end-2-end develop high integrity systems using MATLAB, Simulink and Polyspace family of products. Hereby, you will learn how developing application software is ideally performed with Model-Based Design and production code generation, and how manual coding can support the development of non-application software components. You will also learn what Model-Based Design offers for effective and efficient integration and integration testing of application and non-application software.
Highlights
- Introduction to Functional safety and the importance of tool integration
- Reasons and strategies to optimize toolchains for functional safety
- Using Model-Based Design for system and software architectures
- Using MATLAB, Simulink and Polyspace for Unit detailed design and unit verification
- Integration testing with Model-Based Design
About the Presenters
Shankar Abhinav is an Application Engineer at MathWorks. His expertise is in Hardware in the loop and rapid control prototyping for verification and validation of advanced control algorithms for complex cyber physical systems. His work focused on modeling and distributed control of power electronic devices for small scale power systems. He received his PhD in Electrical Engineering at University of Texas at Arlington in 2017.
Shang-Chuan Lee is a Senior Application Engineer specializing in Electrical system and Industrial Automation industries and has been with the MathWorks since 2019. Her focus at the MathWorks is on building models of electric motor and power conversion systems and then leveraging them for control design, hardware-in-the-loop testing and embedded code generation. Shang-Chuan holds a Ph.D from the University of Wisconsin-Madison(WEMPEC) specializing in motor controls, power electronics, and real-time simulation.
- Embedded Coder
- HDL Coder
- Motor Control Blockset
- Simulink Control Design
- Simulink Real-Time
Organizer
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