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Modelling and control of a flexible structure using adaptive neuro-fuzzy inference system algorithm

Mat Darus, Intan Zaurah and Tokhi, Mohd 0sman and Mohd Hashim, Siti Zaiton (2004) Modelling and control of a flexible structure using adaptive neuro-fuzzy inference system algorithm. In: Icm '04: Proceedings Of The Ieee International Conference On Mechatronics 2004. Institute of Electrical and Electronics Engineers, New York, pp. 159-164. ISBN 0780385993

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Official URL: http://dx.doi.org/10.1109/ICMECH.2004.1364430

Abstract

This paper investigates the development of an active vibration control (AVC) mechanism using an adaptive-neuro-fuzzy-inference system (ANFIS) for a flexible plate structure. An ANFIS-AVC strategy based on a direct ANFIS-modelling and control scheme is proposed to characterise the controller characteristic using an online adaptation and training mechanism. The ANFIS-AVC algorithm thus developed is implemented within a flexible plate simulation environment and its performance in the suppression of deflection at the centre of the plate is assessed. Investigations reveal that the developed ANFIS-AVC control system performs very well in the suppression of vibration of a flexible plate structure.

Item Type:Book Section
Additional Information:Proceedings of the IEEE International Conference on Mechatronics 2004, ICM'04; 3-5 June 2004, Istanbul.
Uncontrolled Keywords:algorithms, computer simulation, control systems, deflection (structures), fuzzy sets, membership functions, neural networks, plates (structural components), vibration control, active vibration control (AVC), adaptive neuro-fuzzy inference systems (anfis), control schemes, fuzzification, flexible structures
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:12128
Deposited By: Liza Porijo
Deposited On:12 Mar 2011 23:24
Last Modified:20 Jul 2011 09:59

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