AU3032 Vehicle Control Systems Syllabus:
AU3032 Vehicle Control Systems Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
The objective of this course is to make the students to understand the basics of control system used in automobiles
UNIT I INTRODUCTION TO VEHICLE CONTROL SYSTEM
Trends, overview and examples of vehicle control system‐ Sensors, actuators and controller modules‐Vehicle communication Network‐System Engineering V‐diagram‐ Algorithm Development ‐ Steps in vehicle control system design‐ Degree of freedom for vehicle control‐ selection of controlled, manipulated, measured disturbance variables‐ classification of the variables in various automotive systems like engines, suspension, braking, air conditioning – General types of vehicle controller configurations‐ Feedback, Inferential, Feed‐Forward, Ratio control.
UNIT II CONTROL SCHEMES, CRUISE AND HEADWAY CONTROL
Feed ‐ Forward control ‐ Cascade control‐ Design considerations for cascade control, Time delay compensation, Inferential control‐ Nonlinear control‐ Adaptive control etc. Cruise control design‐ Autonomous cruise control‐ Anti locking brakes‐ Traction control system‐ Vehicle stability control linear and non‐linear vehicle model‐ VSC Design Principles – four-wheel steering – Goals of 4WS Algorithms – active suspensions.
UNIT III DRIVER MODELING AND POWERTRAIN CONTROL SYSTEMS
Driving simulators‐ percentage of road departure‐ Driver modeling‐ Transfer function models‐ Preview/ Predictive models‐ longitudinal driver models Control oriented engine modeling‐ Air intake model‐ Fuel dynamics model‐ Air Fuel ratio dynamics‐ Engine Control Loops‐ Air Fuel Ratio control‐ EGR Control‐ Spark Timing control‐ Idle speed control‐ Knock control‐Adaptive knock control‐ Combustion torque estimation‐ Transmission control.
UNIT IV CONTROL OF HYBRID AND FUEL CELL VEHICLES
Series‐Parallel‐ Split Hybrid Configurations‐ Hybrid Vehicle Control Hierarchy‐ Control Concepts of Series Hybrids‐ Equivalent Consumption minimization strategy‐ control concepts for split hybrid modelling of fuel cell systems‐ fuel stack model‐ control of fuel cell system.
UNIT V HUMAN FACTORS AND INTELLIGENT TRANSPORT SYSTEM
Human factors in vehicle automation‐ cross over model principle‐ Risk‐ Homeostatic Theory‐ Driving simulators‐ percentage of road departure Advanced traffic management system‐ Advanced traveller information system‐ commercial vehicle operation‐ Advanced vehicle control system‐ Preventing collisions‐ Longitudinal motion control and platoons‐ Site specific information comparison of longitudinal control approaches‐ String stability‐ Automated steering and lateral control – Lane sensing‐ automated lane change and follow control.
TOTAL: 45 PERIODS
OUTCOMES:
At the end of the course, the student will be able to
1. Understand the basics of control system used in automobiles
2. Recognize the electronically controlled system used in driving mechanics.
3. Understand the working principle of driver modelling and power train control systems.
4. Identify the control system used in hybrid and electrical vehicles.
5. Illustrate the need of automated transport systems.
TEXT BOOKS:
1. Galip Ulsoy , Automotive Control System, Cambridge University Press, 2012
2. Uwe Kiencke and Lars Nielson, Automotive Control System, SAE Publications, 2006
REFERENCES:
1. Bosch Automotive Handbook, Sixth Edition,2004
2. Benjamin C.Kuo and Farid Golnaraghi, Automatic Control System, John Wiley & Sons, Eight edition, 2003.
3. Katsuhiko Ogata, System Dynamics, Prentice Hall International, Inc. Third Edition,1998
4. Richard C.Dorf and Robert H.Bishop, Modern Control Systems, Pearson Prentice Hall,2008