Model-Based Design for Semiconductor Production Equipment: From Modeling, Controls and Testing to Code Generation
Overview
Model-Based Design (MBD) makes it easier to test new ideas, expose design problems early, and automate steps such as code generation to speed up the overall development process. Attend this webinar to learn how the MBD process can be tailored to semiconductor production equipment.
In this session, we will cover plant modeling, control system design methodologies, testing, and automatic code generation. Particularly for control system design, we will touch on various control topics such as classic PID control, model predictive control (MPC), and data-driven control, which have been attracting attention in recent years. Come learn how to utilize MATLAB and Simulink to enhance your control system design processes from start to finish.
Highlights
- Introduction to plant modeling in 1D CAE
- Overview of control system design from PID to advanced techniques like MPC
- Automatic code generation from models
About the Presenter
Pourash Patel
Senior Application Engineer | MathWorks
Pourash is focused on model-based design workflow in the medical device industry. He supports the entire V software development workflow, but primarily focuses on MBSE and V&V (verification and validation). Prior to MathWorks, Pourash worked in the power tool and automotive industry where he supported controls, systems, and test organizations. He received a M.S. + M.Eng in electrical engineering from Western University, Ontario, Canada, where he specialized in embedded controls.
