ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System

This work presents a self-tuning fuzzy PD controller for solving the control challenges of twin rotor MIMO system. The controller is made adaptive through output scaling factor adjustment of the updating factor, . The value of is calculated directly from a fuzzy rule base defined as error and chang...

Full description

Saved in:
Bibliographic Details
Main Authors: Mahmoud, Thair S., Marhaban, Mohammad Hamiruce, Tang, Sai Hong
Format: Article
Language:English
Published: 2010
Online Access:http://psasir.upm.edu.my/id/eprint/10937/1/ANFIS.pdf
http://psasir.upm.edu.my/id/eprint/10937/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.10937
record_format eprints
spelling my.upm.eprints.109372016-03-09T05:07:31Z http://psasir.upm.edu.my/id/eprint/10937/ ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System Mahmoud, Thair S. Marhaban, Mohammad Hamiruce Tang, Sai Hong This work presents a self-tuning fuzzy PD controller for solving the control challenges of twin rotor MIMO system. The controller is made adaptive through output scaling factor adjustment of the updating factor, . The value of is calculated directly from a fuzzy rule base defined as error and change of error of the controlled variable. A combination of adaptive neural fuzzy inference system and fuzzy subtractive clustering method was used, where the objective was to improve its time response, while reducing its computational complexity. Simulation results show performance improvement in comparison with that of the previous method. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 2010-05 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/10937/1/ANFIS.pdf Mahmoud, Thair S. and Marhaban, Mohammad Hamiruce and Tang, Sai Hong (2010) ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System. IEEJ Transactions on Electrical and Electronic Engineering, 5 (3). pp. 369-371. ISSN 1931-4981 10.1002/tee.20543
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This work presents a self-tuning fuzzy PD controller for solving the control challenges of twin rotor MIMO system. The controller is made adaptive through output scaling factor adjustment of the updating factor, . The value of is calculated directly from a fuzzy rule base defined as error and change of error of the controlled variable. A combination of adaptive neural fuzzy inference system and fuzzy subtractive clustering method was used, where the objective was to improve its time response, while reducing its computational complexity. Simulation results show performance improvement in comparison with that of the previous method. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
format Article
author Mahmoud, Thair S.
Marhaban, Mohammad Hamiruce
Tang, Sai Hong
spellingShingle Mahmoud, Thair S.
Marhaban, Mohammad Hamiruce
Tang, Sai Hong
ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
author_facet Mahmoud, Thair S.
Marhaban, Mohammad Hamiruce
Tang, Sai Hong
author_sort Mahmoud, Thair S.
title ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
title_short ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
title_full ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
title_fullStr ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
title_full_unstemmed ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
title_sort anfis: self-tuning fuzzy pd controller for twin rotor mimo system
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/10937/1/ANFIS.pdf
http://psasir.upm.edu.my/id/eprint/10937/
_version_ 1643824713338716160