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

Author

Darus, I.Z.M. ; Tokhi, M.O. ; Hashim, S. Z Mohd

Author_Institution

Univ. of Sheffield, UK

fYear

2004

fDate

3-5 June 2004

Firstpage

159

Lastpage

164

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 ANFISA VC control system performs very well in the suppression of vibration of a flexible plate structure.

Keywords

adaptive control; flexible structures; fuzzy systems; learning (artificial intelligence); neural nets; vibration control; active vibration control; adaptive neuro-fuzzy system algorithm; flexible plate structure; online adaptation; training mechanism; Adaptive control; Adaptive systems; Competitive intelligence; Flexible structures; Humans; Inference algorithms; Intelligent systems; Programmable control; Vibration control; Virtual colonoscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics, 2004. ICM '04. Proceedings of the IEEE International Conference on

Print_ISBN

0-7803-8599-3

Type

conf

DOI

10.1109/ICMECH.2004.1364430

Filename

1364430