TIEE3033 Syllabus - Model Based Control - 2022 Regulation Anna University

TIEE3033 Syllabus - Model Based Control - 2022 Regulation Anna University

TIEE3033	MODEL BASED CONTROL	L T P C

3003

COURSE OBJECTIVES:

• To introduce the Knowledge about Multivariable and Multiloop systems.
• To understand the Model predictive control schemes and its elements.
• Get exposed to state space MPC along with case studies.
• To acquire knowledge on various constrained MPC.
• To make the student understand the principles of STR, MRAC and Gain scheduling.
• To make the student design simple adaptive controllers for linear systems

UNIT I	INTRODUCTION TO MIMO CONTROL	(7+2 SKILL) 9

Introduction to MIMO Systems-Multivariable control-Multiloop Control-Multivariable IMC-IMCPID- Case studies

UNIT II	MODEL PREDICTIVE CONTROL SCHEMES	(7+2 SKILL) 9

Introduction to Model Predictive Control - Model Predictive Control Elements - Generalized Predictive Control Scheme – Multivariable Generalized Predictive Control Scheme – Multiple Model based Model Predictive Control Scheme Case Studies

UNIT III	STATE SPACE BASED MODEL PREDICTIVE CONTROL SCHEME	(7+2 SKILL) 9

State Space Model Based Predictive Control Scheme - Review of Kalman Update based filters – State Observer Based Model Predictive Control Schemes – Case Studies

UNIT IV	CONSTRAINED MODEL PREDICTIVE CONTROL SCHEME	(7+2 SKILL) 9

Constraints Handling: Amplitude Constraints and Rate Constraints – Constraints and Optimization – Constrained Model Predictive Control Scheme – Case Studies.

UNIT V	ADAPTIVE CONTROL SCHEME	(7+2 SKILL) 9

Introduction to Adaptive Control-Gain Scheduling - Self tuning regulators – MARS-Adaptive Model Predictive Control Scheme – Case Studie

TOTAL: 45 PERIODS

COURSE OUTCOMES: Students able to

CO1 Ability to apply engineering knowledge to understand the control schemes on MIMO systems L3.
CO2 Ability to design controller for MIMO systemL5.
CO3 Ability to analyze the control schemes available in industries L4.
CO4 Ability to design MPC, Adaptive controllers for practical engineering problems L5.
CO5 Ability to choose suitable controllers for the given problems L5.

TEXT BOOKS:

1. Coleman Brosilow, Babu Joseph, “Techniques of Model-Based Control”, Prentice Hall PTR Pub 2002, 1st Edition.
2. E. F. Camacho, C. Bordons ,“Model Predictive Control”,Springer-Verlag London Limited 2007, 2nd Edition.
3. K.J. Astrom and B. J. Wittenmark, “Adaptive Control”, Second Edition, Pearson Education Inc., second Edition 2013.

REFERENCES:

1. Paul Serban Agachi, Zoltan K. Nagy, Mircea Vasile Cristea, and Arpad Imre-Lucaci Model Based Control Case Studies in Process Engineering,WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim 2007.1st Edition.
2. Ridong Zhang, Anke Xue Furong Gao,“Model Predictive Control Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model”,Springer Nature Singapore Pte Ltd. 2019, 1st Edition.
3. J.A. ROSSITER “Model-Based Predictive Control A Practical Approach”Taylor & Francis e- Library, 2005, 1st edition.