PTCIC335 Adaptive Control Syllabus:

PTCIC335 Adaptive Control Syllabus – Anna University Part time Regulation 2023

COURSE OBJECTIVES:

 To impart knowledge on how to recursively estimate the parameters of discrete input – output models using recursive parameter estimation methods
 To make the student understand the principles of STR, MRAC and Gain scheduling.
 To make the student design simple adaptive controllers for linear systems using STR, MRAC and Gain scheduling

UNIT I INTRODUCTION

Introduction – Adaptive Schemes – The adaptive Control Problem – Applications-Parameter estimation:-LS, RLS: and ERLS

UNIT II GAIN SCHEDULING

Introduction- The principle – Design of gain scheduling controllers- Nonlinear transformations – application of gain scheduling – Auto-tuning techniques: Methods based on Relay feedback.

UNIT III DETERMINISTIC SELF-TUNING REGULATORS

Introduction- Pole Placement design – Indirect Self-tuning regulators – direct self-tuning regulators – Disturbances with known characteristics

UNIT IV STOCHASTIC AND PREDICTIVE SELF-TUNING REGULATORS

Introduction – Design of minimum variance controller – Design of moving average controller – stochastic self-tuning regulators

UNIT V MODEL – REFERENCE ADAPTIVE SYSTEM

Introduction- MIT rule – Determination of adaptation gain – Lyapunov theory –Design of MRAS using Lyapunov theory – Relations between MRAS and STR.

TOTAL:45 PERIODS
SKILL DEVELOPMENT ACTIVITIES (Group Seminar/Mini Project/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)

1 Learn any one relevant software tool (MATLAB/ SCILAB/ LABVIEW/ Equivalent open source software)
2 Design of gain scheduling adaptive control using any one software tool
3 Analysis/Problem Solving – Ability to identify and define problems and solutions
4 Design and verification of MRAC by simulation.

COURSE OUTCOMES:

Students able to
CO1 Ability to apply the estimation algorithm to estimate the parameters of the process.
CO2 Ability to apply the adaptive control concepts to control a process.
CO3 Use appropriate software tools for design of adaptive controllers and analysis of the process.
CO4 Identify, formulate, carry out research by designing suitable adaptive schemes for complex instrumentation problem.
CO5 Apply the concepts to design adaptive control for multidisciplinary problem
CO6 Choose the techniques for self and lifelong learning to keep in pace with the new technology

TEXT BOOKS:

1. K.J. Astrom and B. J. Wittenmark, “Adaptive Control”, Second Edition, Pearson Education Inc., second Edition 2013.

REFERENCE BOOKS

1. T. Soderstorm and Petre Stoica, “System Identification”, Prentice Hall International(UK) Ltd., 1989, 1st Edition.
2. Lennart Ljung, “System Identification: Theory for the User”, Second Edition, Prentice Hall, 1999.