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A Neural-Network-Based-Method on Speed Control of Ultrasonic Motors

Y.C. Liang, X.H. Shi, H.P. Lee, W.Z. Lin, X. Xu, S.P. Lim and K.H. Lee
College of Computer Science and Technology, Jilin University, CN

Keywords: Elman neural network, recurrent back propagation, ultrasonic motor, control

Abstract:
An improved Elman network models, output-input feedback (OIF) Elman networks is proposed based on the modified Elman network. A neural-network-based iteration control system (NNICS)) is developed by using the OIF Elman network as a passageway of the error back-propagation. The speed of the ultrasonic motor is identified using the modified Elman network and OIF Elman networks, respectively and some useful comparable results are presented. Numerical results show that the NNICS controller is effective for various kinds of reference speeds of the USM and the proposed scheme is fairly robust against random disturbance to the control variable.

NSTI Nanotech 2003 Conference Technical Program Abstract

 
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