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

Citation

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

Abstract

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.

Download File

Preview

PDF (Abstract)
ANFIS.pdf
Download (83kB) | Preview

Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1002/tee.20543
Keywords:	Twin rotor MIMO system; Self-tuning fuzzy PD controller; ANFIS; Fuzzy subtractive clustering method.
Depositing User:	Anas Yahaya
Date Deposited:	18 Mar 2011 07:55
Last Modified:	09 Mar 2016 05:07
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1002/tee.20543
URI:	http://psasir.upm.edu.my/id/eprint/10937
Statistic Details:	View Download Statistic

Actions (login required)

View Item