A novel self-tuning scheme for fuzzy logic elevator group controller

In this paper, an intelligent controller based on a novel self-tuning fuzzy logic framework for elevator control applications is presented. The proposed controller utilizes the measured performance data of the elevator control system i.e. average waiting time (AWT), to initiate self-tuning through t...

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Main Authors: Rahim, N.A., Ping, H.W., Jamaludin, J.
Format: Article
Published: IEICE-Inst Electronics Information Communications Eng 2010
Subjects:
Online Access:http://eprints.um.edu.my/12689/
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Institution: Universiti Malaya
id my.um.eprints.12689
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spelling my.um.eprints.126892015-02-11T06:34:17Z http://eprints.um.edu.my/12689/ A novel self-tuning scheme for fuzzy logic elevator group controller Rahim, N.A. Ping, H.W. Jamaludin, J. Q Science (General) In this paper, an intelligent controller based on a novel self-tuning fuzzy logic framework for elevator control applications is presented. The proposed controller utilizes the measured performance data of the elevator control system i.e. average waiting time (AWT), to initiate self-tuning through the adjustment of the membership functions, and the modification of the rule set. The controller's adaptation to the system's environment that is based on the system's measured performance eliminates the heavy dependence on the predicted traffic patterns for adaptation. From computer simulation, the controller's effectiveness is satisfactorily verified. IEICE-Inst Electronics Information Communications Eng 2010 Article PeerReviewed Rahim, N.A. and Ping, H.W. and Jamaludin, J. (2010) A novel self-tuning scheme for fuzzy logic elevator group controller. IEICE Electronics Express, 7 (13). pp. 892-898.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
spellingShingle Q Science (General)
Rahim, N.A.
Ping, H.W.
Jamaludin, J.
A novel self-tuning scheme for fuzzy logic elevator group controller
description In this paper, an intelligent controller based on a novel self-tuning fuzzy logic framework for elevator control applications is presented. The proposed controller utilizes the measured performance data of the elevator control system i.e. average waiting time (AWT), to initiate self-tuning through the adjustment of the membership functions, and the modification of the rule set. The controller's adaptation to the system's environment that is based on the system's measured performance eliminates the heavy dependence on the predicted traffic patterns for adaptation. From computer simulation, the controller's effectiveness is satisfactorily verified.
format Article
author Rahim, N.A.
Ping, H.W.
Jamaludin, J.
author_facet Rahim, N.A.
Ping, H.W.
Jamaludin, J.
author_sort Rahim, N.A.
title A novel self-tuning scheme for fuzzy logic elevator group controller
title_short A novel self-tuning scheme for fuzzy logic elevator group controller
title_full A novel self-tuning scheme for fuzzy logic elevator group controller
title_fullStr A novel self-tuning scheme for fuzzy logic elevator group controller
title_full_unstemmed A novel self-tuning scheme for fuzzy logic elevator group controller
title_sort novel self-tuning scheme for fuzzy logic elevator group controller
publisher IEICE-Inst Electronics Information Communications Eng
publishDate 2010
url http://eprints.um.edu.my/12689/
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