Fuzzy neural network model-following controller for ultrasonic motor servo drives

F. J. Lin, R. J. Wai

研究成果: 雜誌貢獻期刊論文同行評審

摘要

This study proposes to employ a fuzzy neural network (FNN) model-following controller to regulate an ultrasonic motor (USM) servo drive. First, the network structure and the on-line learning algorithm of the FNN are described. Next, the proposed driving circuit for the USM, which is a two-phase chopper-inverter combination, is designed. Then a proportional-integral (PI) position controller is adopted to control the position of the USM. Since the dynamic characteristics of the USM are difficult to obtain and the motor parameters are time varying, the FNN model-following controller is added to reduce the influence of parameter uncertainties and external disturbances. Moreover, to test the performance of the FNN the inner loop PI position controller is omitted, instead using only the FNN model-following controller to control the position of the USM. The effectiveness of the proposed controller is demonstrated by some experimental results.

原文???core.languages.en_GB???
頁(從 - 到)133-142
頁數10
期刊Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an
5
發行號2
出版狀態已出版 - 5月 1998

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