CIC336: Model Based Control syllabus for ICE 2021 regulation (Professional Elective-III)

Model Based Control detailed syllabus for Instrumentation & Control Engineering (ICE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ICE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Instrumentation & Control Engineering 5th Sem scheme and its subjects, do visit ICE 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to ICE Professional Elective-III syllabus scheme. The detailed syllabus of model based control is as follows.

Course Objectives:

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Unit I

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

Unit II

MODEL PREDICTIVE CONTROL SCHEMES
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

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Unit IV

CONSTRAINED MODEL PREDICTIVE CONTROL SCHEMEConstraints Handling: Amplitude Constraints and Rate Constraints -Constraints and Optimization – Constrained Model Predictive Control Scheme – Case Studies.

Unit V

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

Skill Development Activities

(Group Seminar/Mini 10 Project/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)

1. Explore various MIMO controllers presently used in industries.
2. Develop MPC, Adaptive and MIMO controllers for industrial processes.
3. Implement the controllers for MIMO systems.
4. Using software tools for practical exposures to the controllers used in industries by undergoing training.
5. Realisation of various optimization techniques for economical operation of process.

Course Outcomes:

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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.

Reference Books:

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 eLibrary, 2005, 1st edition.

List of Open Source Software/ Learning Website:

1. https://nptel.ac.in/courses/103103037
2. https://nptel.ac.in/courses/108103007
3. https://onlinecourses.nptel.ac.in/noc21_ge01/preview
4. https://nptel.ac.in/courses/127106225

For detailed syllabus of all the other subjects of Instrumentation & Control Engineering 5th Sem, visit ICE 5th Sem subject syllabuses for 2021 regulation.

For all Instrumentation & Control Engineering results, visit Anna University ICE all semester results direct link.