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Intelligent Active Vibration Control for a Flexible Beam System
Hossain, M. Alamgir Madkour, A.A.M. Dahal, Keshav P. Yu, H.
Hossain, M. Alamgir
Madkour, A.A.M.
Dahal, Keshav P.
Yu, H.
Publication Date
2004
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© 2004 IEEE. Reprinted from the Proceedings of the IEEE SMC-RI 3rd Chapter Conference 2004 on Intelligent Cybernetic Systems.
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Abstract
This paper presents an investigation into the
development of an intelligent active vibration control
(AVC) system. Evolutionary Genetic algorithms (GAs)
and Adaptive Neuro-Fuzzy Inference system (ANFIS)
algorithms are used to develop mechanisms of an AVC
system, where the controller is designed on the basis of
optimal vibration suppression using the plant model. A
simulation platform of a flexible beam system in
transverse vibration using finite difference (FD) method
is considered to demonstrate the capabilities of the AVC
system using GAs and ANFIS. MATLAB GA tool box for
GAs and Fuzzy Logic tool box for ANFIS function are
used for AVC system design. The system is then
implemented, tested and its performance assessed for GAs
and ANFIS based design. Finally a comparative
performance of the algorithm in implementing AVC
system using GAs and ANFIS is presented and discussed
through a set of experiments.
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Citation
Hossain, M.A., Madkour, A.A.M., Dahal, K.P. and Yu, H. (2004). Intelligent Active Vibration Control for a Flexible Beam System. IEEE SMC-RI 3rd Chapter Conference on Intelligent Cybernetic Systems. Londonderry, UK. 7-8 September 2004. Proceedings of the IEEE SMC-RI 3rd Chapter Conference on Intelligent Cybernetic Systems. Pp. 85-89.
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Conference paper