Course

Unit 1

Introduction – Need for control systems, Objectives of analysis and design, Design process. Laplace transforms review, Transfer functions – Examples of Electrical, mechanical and electro-mechanical systems Linearization concept with automotive examples. Overview of different types of controllers – PID controllers, semi-empirical tuning, controller design for a non- linear systems using gain scheduling.Overview of robust control.

Unit 2

State Variable Representation – State Variable Models to Transfer Functions – Transfer Functions to State Variable Models – Solution of State Equations. Concepts of Controllability and Observability.

Unit 3

State Feedback- Regulator Design – Design of State Observers – Compensator Design by the Separation Principle. Optimal control Active suspension system. Model predictive control. for Lane keep assist system, Autonomous steering system. Introduction to machine learning concepts, Machine learning for Model predictive control, A case study using MATLAB/Python.

Text Books / References

Text / References

1. M. Gopal, Digital Control and State Variable Methods: Conventional and Intelligent Control, TMH, Fourth edition, 2017.
2. Norman S. Nise, Control Systems Engineering, 8th Edition, John Wiley & Sons, 2019.
3. Richard C. Dorf, Robert H. Bishop, Modern Control Systems, 12th Edition, Pearson, 2010.
4. Katsuhiko Ogata, Modern Control Engineering, 5th Edition, Pearson, 2010.

Course Objectives

• Introduce students to the fundamental concepts of system modeling for control systems.
• Equip students with state space techniques for analyzing and designing control systems.
• Expose students to controller design and performance analysis principles, with a focus on automotive systems.

Course Outcomes

• CO01: Model the dynamics of automotive systems using mathematical techniques
• CO02: Analyze automotive control systems using state space methods
• CO03: Design control systems for automotive applications
• CO04: Acquire knowledge about the utilization of CAD tools in the design of control systems for automotive applications.

CO-PO Mapping

Skills Acquired: Modeling and design of control systems, State variable representations, Optimal control