Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/16604
Title: Regime based multi model adaptive control schemes for MIMO system
Researcher: Ravi V R
Guide(s): Thyagarajan T
Keywords: Elictrical Engineering
MIMO system
Multi Model Adaptive Control (MMAC)
Two Conical Tank Interacting Level System (TCTILS)
Two Input Two Output (TITO)
Upload Date: 3-Mar-2014
University: Anna University
Completed Date: 01/11/2013
Abstract: Most of industrial processes are basically Multi-Input/Multi- newlineOutput (MIMO) systems. The implementation of control algorithms for such newlineMIMO systems is often complicated due to variations in process dynamics newlinethat occur because of change in operating point and nonlinear dynamic newlinecoupling. To solve this problem there exist several control schemes that can newlinebe centralized (multivariable structure) or decentralised (multi-loop structure). newlineWith the increasing automation and complexity of modern process control newlinesystem, the design of decoupling based decentralised PID control, Fuzzy newlinecontrol and Dynamic matrix control are becoming an interesting and newlinechallenging research topic. In this work, an attempt is made to design real coded GA tuned newlinecentralized and decentralised feedback controllers using regime based Multi newlineModel Adaptive Control (MMAC) strategy for Two Conical Tank Interacting newlineLevel System (TCTILS). TCTILS is a Two Input Two Output (TITO) system newlinewhich exhibits nonlinear and coupling dynamics. newlineThus, the main contributions of the present investigation include newlinethe following: 1. Development of first principle model for TCTILS newline2. Design and development of regime based MMAC strategy for newlineAdaptive Decoupling based Decentralised PI (ADD-PI) control newlinescheme and Non Adaptive Decoupling based Decentralised PI newline(NADD-PI) control scheme. 3. Design and development of regime based MMAC strategy for newlineAdaptive Mixed Fuzzy control (AMFC) scheme and Adaptive newlineTraditional Fuzzy control (ATFC) scheme. newline4. Design and development of regime based MMAC strategy for newlineGain Scheduling Adaptive Dynamic Matrix control (GSADMC) newlinescheme and Nonlinear Dynamic Matrix control newline(NDMC) scheme. newline5. Real time implementation of the proposed GSA-DMC and newlineNDMC schemes on a TCTILS, a benchmark setup for the newlinenonlinear two tank level process with interaction. Accordingly, the thesis consists of seven chapters. Chapter 1 deals newlinewith the need and scope of the present work, organization of the thesis along newlinewith the related literature survey. newline
Pagination: xxviii, 180 p.
URI: http://hdl.handle.net/10603/16604
Appears in Departments:Faculty of Electrical and Electronics Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File86.57 kBAdobe PDFView/Open
02_certificates.pdf1.82 MBAdobe PDFView/Open
03_abstract.pdf16.24 kBAdobe PDFView/Open
04_acknowledgement.pdf7.53 kBAdobe PDFView/Open
05_contents.pdf70.64 kBAdobe PDFView/Open
06_chapter 1.pdf177.63 kBAdobe PDFView/Open
07_chapter 2.pdf1.09 MBAdobe PDFView/Open
08_chapter 3.pdf2.12 MBAdobe PDFView/Open
09_chapter 4.pdf931 kBAdobe PDFView/Open
10_chapter 5.pdf2.77 MBAdobe PDFView/Open
11_chapter 6.pdf1.78 MBAdobe PDFView/Open
12_chapter 7.pdf24.54 kBAdobe PDFView/Open
13_appendix.pdf19.25 kBAdobe PDFView/Open
14_references.pdf36.47 kBAdobe PDFView/Open
15_publications.pdf10.18 kBAdobe PDFView/Open
16_vitae.pdf6.13 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.