Control Systems Simplified C0525
Topics: Advanced Technologies
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.
Learning Objectives
By attending this course, you will be able to:
- 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
Who Should Attend
This introductory course is designed for individuals with little or no background in control systems. Engineers, managers, and technical managers with backgrounds in systems, mechanical, electrical, or industrial engineering who work with vehicle chassis (suspension/brakes/steering), powertrains, comfort systems, vehicle dynamics, sensors/actuators, and diagnostics will find the course beneficial. Test engineers and technicians, patent attorneys, and business executives may also find this course valuable.
Prerequisites
An undergraduate engineering degree or a strong technical background is highly recommended. Basic knowledge of college algebra, college physics, and a familiarity with vehicle systems is required.
Testimonials
"A great, concise course that covers the topics effectively."
William Fox
Manager Controls Group
Vanner, Inc.
"Great seminar to acquire practical understanding of control systems. The material was delivered in such a way that even an engineer out of school for 20 years could understand!"
Tim Drotar
Senior Engineer
Ford Motor Company
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
Farhad Bolourchi
Dr. Bolourchi is currently a staff research engineer II with Nexteer Automotive Innovation Center where he designs algorithms for advanced chassis systems. Farhad helped develop Delphi\'s first electric power steering system, for which he received the company's highest technical award, the "Boss Kettering". Dr. Bolourchi previously worked for Hughes Aircraft Company and gained valuable experience in both missile systems controls and automotive applications. He was also a part time faculty member at the University of California - Davis and Sacramento State University. Farhad received GM's President Honors award in 1998, and was inducted to Delphi's Hall of Fame in 1999. He has numerous publications and patents related to control systems and automotive applications. Dr. Bolourchi has a B.S. in Mechanical Engineering from Northeastern University, a M.S. in Mechanical Engineering and a Ph.D in Nonlinear Control Systems from the University of California - Davis
