Horizontal and Vertical Rule Bases Method in Fuzzy Controllers

Concept of horizontal and vertical rule bases is introduced. Using this method enables the designers to look for main behaviors of system and describes them with greater approximations. The rules which describe the system in first stage are called horizontal rule base. In the second stage, the desig...

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Main Authors: Sadegh Aminifar, Arjuna bin Marzuki
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/532046
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spelling doaj-b6a65f1663694911ab23f70b6ffc78dc2020-11-24T23:04:28ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/532046532046Horizontal and Vertical Rule Bases Method in Fuzzy ControllersSadegh Aminifar0Arjuna bin Marzuki1School of Electrical and Electronics Engineering, Universiti Sains Malaysia (USM), Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, MalaysiaSchool of Electrical and Electronics Engineering, Universiti Sains Malaysia (USM), Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, MalaysiaConcept of horizontal and vertical rule bases is introduced. Using this method enables the designers to look for main behaviors of system and describes them with greater approximations. The rules which describe the system in first stage are called horizontal rule base. In the second stage, the designer modulates the obtained surface by describing needed changes on first surface for handling real behaviors of system. The rules used in the second stage are called vertical rule base. Horizontal and vertical rule bases method has a great roll in easing of extracting the optimum control surface by using too lesser rules than traditional fuzzy systems. This research involves with control of a system with high nonlinearity and in difficulty to model it with classical methods. As a case study for testing proposed method in real condition, the designed controller is applied to steaming room with uncertain data and variable parameters. A comparison between PID and traditional fuzzy counterpart and our proposed system shows that our proposed system outperforms PID and traditional fuzzy systems in point of view of number of valve switching and better surface following. The evaluations have done both with model simulation and DSP implementation.http://dx.doi.org/10.1155/2013/532046
collection DOAJ
language English
format Article
sources DOAJ
author Sadegh Aminifar
Arjuna bin Marzuki
spellingShingle Sadegh Aminifar
Arjuna bin Marzuki
Horizontal and Vertical Rule Bases Method in Fuzzy Controllers
Mathematical Problems in Engineering
author_facet Sadegh Aminifar
Arjuna bin Marzuki
author_sort Sadegh Aminifar
title Horizontal and Vertical Rule Bases Method in Fuzzy Controllers
title_short Horizontal and Vertical Rule Bases Method in Fuzzy Controllers
title_full Horizontal and Vertical Rule Bases Method in Fuzzy Controllers
title_fullStr Horizontal and Vertical Rule Bases Method in Fuzzy Controllers
title_full_unstemmed Horizontal and Vertical Rule Bases Method in Fuzzy Controllers
title_sort horizontal and vertical rule bases method in fuzzy controllers
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description Concept of horizontal and vertical rule bases is introduced. Using this method enables the designers to look for main behaviors of system and describes them with greater approximations. The rules which describe the system in first stage are called horizontal rule base. In the second stage, the designer modulates the obtained surface by describing needed changes on first surface for handling real behaviors of system. The rules used in the second stage are called vertical rule base. Horizontal and vertical rule bases method has a great roll in easing of extracting the optimum control surface by using too lesser rules than traditional fuzzy systems. This research involves with control of a system with high nonlinearity and in difficulty to model it with classical methods. As a case study for testing proposed method in real condition, the designed controller is applied to steaming room with uncertain data and variable parameters. A comparison between PID and traditional fuzzy counterpart and our proposed system shows that our proposed system outperforms PID and traditional fuzzy systems in point of view of number of valve switching and better surface following. The evaluations have done both with model simulation and DSP implementation.
url http://dx.doi.org/10.1155/2013/532046
work_keys_str_mv AT sadeghaminifar horizontalandverticalrulebasesmethodinfuzzycontrollers
AT arjunabinmarzuki horizontalandverticalrulebasesmethodinfuzzycontrollers
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