Automotive Control
ME 50400/ 3 Cr.
Concepts of automotive control. Electro-mechanical systems that are controlled by electronic control modules via an appropriate algorithm (such as fuel injection timing control, emission control, transmission clutch control, anti-lock brake control, traction control, stability control, etc.). In-depth coverage on modeling and control of these automotive systems. MATLAB/SIMULINK modeling and simulation.
- Available Online: No
- Credit by Exam: No
- Laptop Required: No
Prerequisites/Co-requisites:
P: ECE 38200 or ME 48200 or equivalent, and familiarity with MATLAB.
Textbooks
U. Kiencke and L. Nielsen, "Automotive Control Systems: For Engine, Driveline, and Vehicle," Springer-Verlag New York, LLC, 2004.
Instruction Goal
This course is aimed at senior level and / or graduate level students in mechanical engineering with an emphasis on automotive systems. Today's cars have many electro-mechanical systems that are controlled by electronic control modules via an appropriate algorithm (such as fuel injection timing control, emission control, transmission clutch control, anti-lock brake control, traction control, stability control, etc.). This course will give the students in-depth knowledge on modeling and control of these automotive systems. MATLAB/SIMULINK modeling and simulation will be included to demonstrate the performance of various control systems.
Graduate students will also be assigned final projects which require a presentation and a report due at the end of semester.
Outcomes
After completion of this course, the students should be able to:
- Define current state of automotive control systems and their impact in our society.
- Explain basic Engine Operation: Effective Work, Air-Fuel Ratio, Combustion, and Energy conversion.
- Solve various aspects of engine control system: Speed Control; Knock Control; Combustion Torque Estimation; Cylinder Balancing; Fuel Injection timing control; Ignition control of SI engines.
- Perform transmission / driveline control: Transmission modeling; Modeling of neutral gear; State Space formulation of driveline model; Driveline control with LQR; Driveline control for gear shifting; Clutch phasing control.
- Perform vehicle dynamics modeling: Wheel Model; 14 DOF Vehicle Model.
- Calculate various vehicle parameter and perform state estimation methods: Observers; Friction Coefficient estimators; Body Side Slip Angle estimators; Tire Contact Patch Force estimators.
- Perform vehicle dynamics control: Yaw Stability control; Anti-Lock Brake control; Traction control.
- Define advanced automotive control techniques: Active Front Steering; Roll Stability control.
- Perform modeling of automotive control systems in MATLAB/SIMULINK environment.
- Evaluate and test automotive control system performance using computer-aided tools (MATLAB/SIMULINK).
Topics
- Introduction. Why control systems for automobiles? A brief history of automotive control systems
- Engines and Their Working Principle. Basic Engine Operation: Effective Work, Air-Fuel Ratio, Combustion, Energy conversion, Emissions of ICE, Intake manifold dynamics.
- Engine Control System. Lambda Control; Speed Control; Knock Control; Combustion Torque Estimation; Cylinder Balancing; Fuel Injection timing control; Ignition control of SI engines.
- Transmission / Driveline Control. Transmission modeling; Modeling of neutral gear; State Space formulation of driveline model; Driveline control with LQG / LTR; Driveline control for gear shifting; Clutch phasing control
- Vehicle Dynamics Modeling. Wheel Model; 14 DOF Complete Vehicle Model.
- Vehicle Parameter and State Estimation. Observers, Kalman filters, Fuzzy estimators; Friction Coefficient estimators; Body Side Slip Angle estimators; Tire Contact Patch Force estimators.
- Vehicle Dynamics Control. Yaw Stability control; Anti-Lock Brake control; Traction control.
- Advanced Topics.