Powertrain Control Systems (ECE5554)
This graduate course is the second course in the Powertrain sequence, complementing and continuing concepts introduced in the Powertrain modeling course. Basic digital control concepts will be covered as they relate to models of automotive Powertrain subsystems.
A review of sampled data systems, particularly relevant to the implementation constraints common to production Powertrain systems and subsystems, lays the foundation for subsequent control design discussions.
A basic course in control systems is required, and ME7236 is recommended, but not required. A basic working knowledge of Matlab and Simulink and its functionality is required; preparatory non-credit seminars in Matlab and Signals and Systems for Control are recommended before taking the course.
Upon completion of this course participants will be able to:
- Understand automotive control systems, production hardware, sensors and actuators
- Analyze sample data systems, linear control techniques
- Perform techniques for linearization, introduction to nonlinear control
- Understand multi-variable control design for idle speed control
- Solve idle speed control problems
- Solve transmission control problems
- Understand AFR, EGR and related problems involving automatic control
- Perform design and simulation on computer models
Lisa Fiorentini is an assistant professor-clinical in Electrical and Computer Engineering and associate fellow at the Center for Automotive Research (CAR).
Fiorentini received a BS and MS in Electrical Engineering from Universita’ Politecnica delle Marche, Italy, and her MS and PhD from The Ohio State University.
She worked as a research associate and senior research associate at CAR prior to her faculty appointment. Her research interest lies in the field of control and system theory, nonlinear, robust and adaptive control, embedded systems, tracking and regulation problems with applications in robotics, aerospace and automotive engineering.