Control Systems Simplified
This course introduces the highly mathematical field of control systems focusing on what the classical control system tools do and how they can be applied to automotive systems. Dynamic systems, time/frequency responses, and stability margins are presented in an easy to understand format. Utilizing Matlab and Simulink, participants will learn how simple computer models are generated. Other fundamental techniques in control design such as PID and lead-lag compensators will be presented as well as the basics of embedded control systems. During this interactive course participants will utilize case studies to develop a simple control design for a closed loop system. With the aid of a simple positioning control experiment, participants will learn the major components and issues found in many automotive control applications today.
What Will You Learn
- Determine performance characteristics of open and closed loop systems such as time and frequency responses and stability margins
- Analyze compromises and select the best compromised solution between stability and closed loop performance metrics
- Model simple physical systems in MatLab/Simulink environment
- Analyze and design simple compensators in MatLab/Simulink environment
- Evaluate issues associated with digital control systems including effects of sampling time, word length, and throughput
- Explain the functions of various components found in today's automotive embedded control systems including ECU I/O section, software/algorithm, power electronics, and sensors and actuators
- Communicate with control systems designers more effectively in terms of technical issues as well as toolsets, and functional needs