ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS

Artificial intelligence techniques, such as neural networks and fuzzy logic have shown promising results for modelling of nonlinear systems whilst traditional approaches are rather insufficient due to difficulty in modelling of highly nonlinear components in the system. A laboratory set-up...

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Main Authors:	Toha, Siti Fauziah, Tokhi, M. O.
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/1/05898130.pdf

id	iium-7120
recordtype	eprints
spelling	iium-71202012-10-09T00:59:24Z http://irep.iium.edu.my/7120/ ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS Toha, Siti Fauziah Tokhi, M. O. TA Engineering (General). Civil engineering (General) Artificial intelligence techniques, such as neural networks and fuzzy logic have shown promising results for modelling of nonlinear systems whilst traditional approaches are rather insufficient due to difficulty in modelling of highly nonlinear components in the system. A laboratory set-up that resembles the behaviour of a helicopter, namely twin rotor multiinput multi-output system (TRMS) is used as an experimental rig in this research. An adaptive neuro-fuzzy inference system (ANFIS) tuned by particle swarm optimization (PSO) algorithm is developed in search for non-parametric model for the TRMS. The antecedent parameters of the ANFIS are optimized by a PSO algorithm and the consequent parameters are updated using recursive least squares (RLS). The results show that the proposed technique has better convergence and better performance in modeling of a nonlinear process. The identified model is justified and validated in both time domain and frequency domain 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/7120/1/05898130.pdf Toha, Siti Fauziah and Tokhi, M. O. (2010) ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS. In: 2010 IEEE 9th International Conference on Cybernetic Intelligent Systems (CIS), 1 - 2 September 2010 , University of Reading Reading, U.K.. http://dx.doi.org/10.1109/UKRICIS.2010.5898130 doi:10.1109/UKRICIS.2010.5898130
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Toha, Siti Fauziah Tokhi, M. O. ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
description	Artificial intelligence techniques, such as neural networks and fuzzy logic have shown promising results for modelling of nonlinear systems whilst traditional approaches are rather insufficient due to difficulty in modelling of highly nonlinear components in the system. A laboratory set-up that resembles the behaviour of a helicopter, namely twin rotor multiinput multi-output system (TRMS) is used as an experimental rig in this research. An adaptive neuro-fuzzy inference system (ANFIS) tuned by particle swarm optimization (PSO) algorithm is developed in search for non-parametric model for the TRMS. The antecedent parameters of the ANFIS are optimized by a PSO algorithm and the consequent parameters are updated using recursive least squares (RLS). The results show that the proposed technique has better convergence and better performance in modeling of a nonlinear process. The identified model is justified and validated in both time domain and frequency domain
format	Conference or Workshop Item
author	Toha, Siti Fauziah Tokhi, M. O.
author_facet	Toha, Siti Fauziah Tokhi, M. O.
author_sort	Toha, Siti Fauziah
title	ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
title_short	ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
title_full	ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
title_fullStr	ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
title_full_unstemmed	ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
title_sort	anfis modelling of a twin rotor system using particle swarm optimisation and rls
publishDate	2010
url	http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/1/05898130.pdf
first_indexed	2018-09-07T03:25:46Z
last_indexed	2018-09-07T03:25:46Z
_version_	1610917605821906944

ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS

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