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Course Detail

Course Name Control Systems for Autonomous Vehicles
Course Code 24AT731
Program M. Tech. in Automotive Engineering
Credits 3
Campus Coimbatore , Chennai , Bengaluru , Amritapuri , Kochi

Syllabus

Elective Streams Software Defined Vehicles

Unit 1

Introduction to System modelling: Importance of control system in Electrical vehicle, Study of control architecture in Electric vehicle, Systems models and their classifications, principles used in modelling of systems. Continuous time systems modelling – Electromechanical systems – Linear and nonlinear systems – System identification – State space analysis – Eigen values – Controllability and observability – Discrete time systems – Discretization of continuous time systems.

Unit 2

Model based control approach for Electric Vehicle: Introduction to P, PI & PID Controller, and Internal Model Control (IMC) Design, Introduction to Model based control system design for Electric Vehicle. Controller design

– Control structures – Transfer function – Lead and lag compensators – Proportional controller – Integral – Derivative controller – Comparison – Optimization control – Automotive sub system control using MATLAB – State feedback controller design – Steering control using model predictive controller – Stability and realizability.

Unit 3

Stability aspects of control systems: Stability concept, Stability definition in the sense of Lyapunov, Stability of continuous time Linear systems, Lyapunov stability theorem, Vehicle stability analysis. Applications of control techniques in Traction control, Vehicle Control, Electric power steering control.

Objectives and Outcomes

Course Objectives

  1. To familiarize with the mathematical modelling of control systems
  2. To make students’ understand the concept of stability of control systems
  3. To provide knowledge on design control strategies for various

Course Outcomes

CO CO Description
CO1 Develop the mathematical model of the physical systems
CO2 Analyse the response and stability of the closed and open loop systems
CO3 Analyse the control systems using Model based design.
CO4 Develop and analyse state space models and multivariable control systems
CO5 Design controllers based on stability and performance requirements

CO-PO Mapping

PO1 PO2 PO3 PO4 PO5
CO1 1 2 1 1 2
CO2 1 2 1 1 2
CO3 1 2 1 1 2
CO4 1 2 1 1 2
CO5 1 2 1 1 2

Skills acquired

Design, develop, analyse control systems for autonomous vehicle

Text Books / References

Text Books / References

  1. Hui Zhang and Dongpu Cao and Haiping Du, “Modelling, Dynamics and Control of Electrified Vehicles”, WP Publishing, Elsevier, 2018
  2. Norman Nise, “Control Systems Engineering”, 8th Ed., John Wiley & Sons, 2019.
  3. Georg Rill, Abel Arrieta Castro, “Road Vehicle Dynamics,: Fundamentals and Modelling with MATLAB”, CRC Press, 2020.
  4. Rajesh Rajamani, “Vehicle Dynamics and Control”, Springer, Second Edition, 2012
  5. Wuwei Chen, Hansong Xiao, Qidong Wang, Linfeng Zhao and Maofei Zhu, “Integrated Vehicle Dynamics and Control”, Wiley, First Edition, 2016
  6. Norman Nise, Control Systems Engineering, 8th Ed., John Wiley & Sons, 2019.

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