Simulation study of multivariable system

This dissertation presents sparse control system design method which is based on the concept of energy transmission ratio. The sparse control system structure can help to reduce the coupling among loops and result in a simpler system. By introducing the concepts of REGA (Relative Effective Gain Arra...

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Main Author: Wei, Zhuo.
Other Authors: Cai Wenjian
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/18775
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-187752023-07-04T15:19:48Z Simulation study of multivariable system Wei, Zhuo. Cai Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering This dissertation presents sparse control system design method which is based on the concept of energy transmission ratio. The sparse control system structure can help to reduce the coupling among loops and result in a simpler system. By introducing the concepts of REGA (Relative Effective Gain Array) and ETF (Equivalent Transfer Function), the controllers can be easily designed using the existing PI/PID tuning rules. These concepts are also feasible in the decentralized control system. There are altogether ten multivariable system process models studied to evaluate the effectiveness and simplicity of the proposed REGA based decentralized method and sparse control method. These ten process models process different static and dynamic characteristics and vary from 2-by-2 systems up to 4-by-4 ones. By comparison, the conclusion can be made that the sparse control method is very simple and straightforward which can be easily understood and implemented by field control engineers. In addition, the simulation study results also indicate that the REGA based methods used in the decentralized control structure is able to provide quite satisfactory control performances as well when the loop interactions are not so severe. Master of Science (Computer Control and Automation) 2009-07-17T08:06:50Z 2009-07-17T08:06:50Z 2008 2008 Thesis http://hdl.handle.net/10356/18775 en 126 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Wei, Zhuo.
Simulation study of multivariable system
description This dissertation presents sparse control system design method which is based on the concept of energy transmission ratio. The sparse control system structure can help to reduce the coupling among loops and result in a simpler system. By introducing the concepts of REGA (Relative Effective Gain Array) and ETF (Equivalent Transfer Function), the controllers can be easily designed using the existing PI/PID tuning rules. These concepts are also feasible in the decentralized control system. There are altogether ten multivariable system process models studied to evaluate the effectiveness and simplicity of the proposed REGA based decentralized method and sparse control method. These ten process models process different static and dynamic characteristics and vary from 2-by-2 systems up to 4-by-4 ones. By comparison, the conclusion can be made that the sparse control method is very simple and straightforward which can be easily understood and implemented by field control engineers. In addition, the simulation study results also indicate that the REGA based methods used in the decentralized control structure is able to provide quite satisfactory control performances as well when the loop interactions are not so severe.
author2 Cai Wenjian
author_facet Cai Wenjian
Wei, Zhuo.
format Theses and Dissertations
author Wei, Zhuo.
author_sort Wei, Zhuo.
title Simulation study of multivariable system
title_short Simulation study of multivariable system
title_full Simulation study of multivariable system
title_fullStr Simulation study of multivariable system
title_full_unstemmed Simulation study of multivariable system
title_sort simulation study of multivariable system
publishDate 2009
url http://hdl.handle.net/10356/18775
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