## TIEE3036 Syllabus - Adaptive Control - 2022 Regulation Anna University

TIEE3036

L T P C

3003

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

(7+2 SKILL) 9

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

UNIT II

GAIN SCHEDULING

(7+2 SKILL) 9

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

(7+2 SKILL) 9

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

UNIT IV

STOCHASTIC AND PREDICTIVE SELF-TUNING REGULATORS

(7+2 SKILL) 9

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

UNIT V

(7+2 SKILL) 9

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

TOTAL: 45 PERIODS

COURSE OUTCOMES: Students able to
CO1 Ability to apply the estimation algorithm to estimate the parameters of the process.(L3)
CO2 Ability to apply the adaptive control concepts to control a process. (L3)
CO3 Use appropriate software tools for design of adaptive controllers and analysis of the process. (L5)
CO4 Identify, formulate, carry out research by designing suitable adaptive schemes for complex instrumentation problem. (L5)
CO5 Apply the concepts to design adaptive control for multidisciplinary problem(L3)
CO6 Choose the techniques for self and lifelong learning to keep in pace with the new technology(L3)

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.