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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45835

    Title: Adaptive fuzzy logic-based velocity observer for servo motor drives
    Authors: Lin, Feng-chieh;Yang, Sheng-ming
    Contributors: 淡江大學機械與機電工程學系
    Keywords: Velocity observer;Adaptive fuzzy logic;Servo motor
    Date: 2003-04-01
    Issue Date: 2010-03-26 20:06:07 (UTC+8)
    Publisher: Kidlington: Pergamon Press
    Abstract: As the position transducers commonly used in industry do not inherently measure an instantaneous velocity, signal processing is generally required to improve the accuracy of velocity estimation at each sampling instant. This estimated signal is then used as the velocity feedback for the velocity loop control in servo motor drives. In this paper, an adaptive fuzzy logic-based observer is proposed to estimate velocity from the measured motor position. The proposed observer has a structure similar to that of the conventional state observer except that the state feedback is replaced with a fuzzy logic feedback. The observer has two adaptation mechanisms: the first one is used to vary the fuzzy output, and the second one is used to identify the motor parameters. The experimental results show that the noise in the estimated velocity caused by the quantization of the measured position can be reduced dramatically with the proposed observer. In addition, the observer has good transient responses in both normal and in low speeds.
    Relation: Mechatronics 13(3), pp.229-241
    DOI: 10.1016/S0957-4158(01)00044-7
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Journal Article

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