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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107950

    Title: Hardware implementation of an adaptive fuzzy wavelet neural network control for voice coil motors
    Authors: Hsu, Chun-Fei;Wong, Kai-Yi;Su, Chien-Min;Lee, Tsu-Tian
    Keywords: Intelligent Control
    Date: 2016-09-23
    Issue Date: 2016-10-18 02:11:46 (UTC+8)
    Abstract: In this paper, an adaptive fuzzy wavelet neural network control (AFWNNC) system, which is composed of a neural controller and an exponential compensator, is developed and presented for control of the voice coil motors. The neural controller utilizes a fuzzy wavelet neural network (FWNN) to on-line approximate an unknown nonlinear term in the system dynamics and the exponential compensator is designed to ensure the system stability of closed-loop system. Meanwhile, the parameter learning of the AFWNNC system is derived by the Lyapunov stability theory. Finally, the experiment is performed using a low-cost microcontroller to verify the design performance over a wide range of operating conditions. The experimental results show that the AFWNNC system can achieve favorable control performance due to the FWNN has the admirable property of high learning accuracy.
    Relation: SICE Annual Conference 2016
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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