Single input fuzzy logic for mimo process control

Implementations of Fuzzy Logic Control (FLC) algorithms are often done using a platform which has high performance processors since FLC requires a lot of computation. In the case of a Multi-Input Multi-Output (MIMO) system, the processing time is unacceptable since the fuzzy rules increase exponenti...

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Main Author:	Zainal, Mohammad Amri
Format:	Thesis
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.26978
record_format	uketd_dc
spelling	my-utm-ep.269782017-08-23T08:48:06Z Single input fuzzy logic for mimo process control 2010 Zainal, Mohammad Amri TK Electrical engineering. Electronics Nuclear engineering Implementations of Fuzzy Logic Control (FLC) algorithms are often done using a platform which has high performance processors since FLC requires a lot of computation. In the case of a Multi-Input Multi-Output (MIMO) system, the processing time is unacceptable since the fuzzy rules increase exponentially as the number of input increases. This project presents the approach of Single Input Fuzzy Logic Control (SIFLC) algorithm to control an evaporator, which is a MIMO process plant. SIFLC is a simplified version of Fuzzy Logic Control (FLC) that utilizes signed distance method and linear piecewise processing. The simulation is done using both FLC and SIFLC. The result shows that both the input output pairs are almost identical. Although the FLC gave better transient response than the SIFLC, the difference is small and can be neglected in some cases. Most importantly, the SIFLC gave a much faster computation time than the FLC. 2010 Thesis http://eprints.utm.my/id/eprint/26978/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Zainal, Mohammad Amri Single input fuzzy logic for mimo process control
description	Implementations of Fuzzy Logic Control (FLC) algorithms are often done using a platform which has high performance processors since FLC requires a lot of computation. In the case of a Multi-Input Multi-Output (MIMO) system, the processing time is unacceptable since the fuzzy rules increase exponentially as the number of input increases. This project presents the approach of Single Input Fuzzy Logic Control (SIFLC) algorithm to control an evaporator, which is a MIMO process plant. SIFLC is a simplified version of Fuzzy Logic Control (FLC) that utilizes signed distance method and linear piecewise processing. The simulation is done using both FLC and SIFLC. The result shows that both the input output pairs are almost identical. Although the FLC gave better transient response than the SIFLC, the difference is small and can be neglected in some cases. Most importantly, the SIFLC gave a much faster computation time than the FLC.
format	Thesis
qualification_level	Master's degree
author	Zainal, Mohammad Amri
author_facet	Zainal, Mohammad Amri
author_sort	Zainal, Mohammad Amri
title	Single input fuzzy logic for mimo process control
title_short	Single input fuzzy logic for mimo process control
title_full	Single input fuzzy logic for mimo process control
title_fullStr	Single input fuzzy logic for mimo process control
title_full_unstemmed	Single input fuzzy logic for mimo process control
title_sort	single input fuzzy logic for mimo process control
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747815557647826944

Single input fuzzy logic for mimo process control

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