DocumentCode
2344358
Title
Real Time Application of an AMB Using MLP: Study of Robustness
Author
Achkar, Roger ; Nasr, Chaiban
Author_Institution
Comput. & Commun. Eng. Dept., American Univ. of Sci. & Technol., Beirut, Lebanon
fYear
2010
fDate
28-30 Sept. 2010
Firstpage
9
Lastpage
14
Abstract
The active magnetic bearing AMB presents a solution for all technical problems since it ensures the total levitation of a body in space eliminating any mechanical contact between the rotor and the stator. The goal of our work is to show that the control of the AMB by Multilayer perceptrons MLP involves an improvement of the response compared to the control of the AMB by classical controllers. The study of robustness and the application of external disturbances, for a system controlled with MLP, were done in order to highlight the advantage of controlling this non linear system by neural networks. The study of the internal disturbance (the balourd) created while rotation is also applied in order to reduce the effect of this unbalance.
Keywords
magnetic bearings; magnetic levitation; multilayer perceptrons; neurocontrollers; nonlinear control systems; AMB; MLP; active magnetic bearing; magnetic levitation; mechanical contact; multilayer perceptrons; neural networks; nonlinear control system; rotor; stator; Non linear dynamics; adaptive control dynamics; adaptive learning network; artificial neural network applications; back propagation algorithm learning; dynamic neural network control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4244-8652-6
Electronic_ISBN
978-0-7695-4262-1
Type
conf
DOI
10.1109/CIMSiM.2010.14
Filename
5701814
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