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題 名 | Fuzzy Neural Network Model-Following Controller for Ultrasonic Motor Servo Drives=利用模糊類神經網路模式追隨控制之超音波馬達驅動系統 |
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作 者 | 林法正; 魏榮宗; | 書刊名 | Journal of the Chinese Institute of Electrical Engineering |
卷 期 | 5:2 1998.05[民87.05] |
頁 次 | 頁133-142 |
分類號 | 448.942 |
關鍵詞 | 模糊類神經網路; 模式追隨控制; 超音波馬達驅動系統; Fuzzy neural network; Model-following control; Ultrasonic motor drive; |
語 文 | 英文(English) |
中文摘要 | 本文主旨在利用模糊類神經網路控制一新型之超音波馬達驅動系統。首先說明模 糊類神經網路架構及線上訓練模糊類神經網路法則。然後說明超音波馬達之控制特性,並設 計一新型之驅動電路。接著利用比例積分位置控制器控制超音波馬達,並加上模糊類神經網 路模式追隨控制器以增加系統之強健性。最後,直接以模糊類神經網路模式追隨控制器控制 超音波馬達,來驗證模糊類神經網路之功能。 |
英文摘要 | This study proposes to employ a fuzzy neural network (FNN) model- fllowing 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. |
本系統中英文摘要資訊取自各篇刊載內容。