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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99871


    Title: FPGA-based adaptive PID control of a DC motor driver via sliding-mode approach
    Authors: Hsu, Chun-Fei;Lee, Bore-Kuen
    Contributors: 淡江大學電機工程學系
    Keywords: PID control;Adaptive control;DC motor driver;FPGA chip
    Date: 2011-09
    Issue Date: 2015-01-05 10:45:28 (UTC+8)
    Publisher: Oxford: Pergamon Press
    Abstract: The proportional-integral-derivative (PID) controller has been extensively applied in practical industry due to its appealing characteristics such as simple architecture, easy design and parameter tuning without complicated computation. However, the PID controller usually needs some a priori manual retuning to make a successful industrial application. To attack this problem, this paper proposes an adaptive PID (APID) controller which is composed of a PID controller and a fuzzy compensator. Without requiring preliminary offline learning, the PID controller can automatically online tune the control gains based on the gradient descent method and the fuzzy compensator is designed to eliminate the effect of the approximation error introduced by the PID controller upon the system stability in the Lyapunov sense. Finally, the proposed APID control system is applied to a DC motor driver and implemented on a field-programmable gate array (FPGA) chip for possible low-cost and high-performance industrial applications. It is shown by the experimental results that the favorable position tracking performance for the DC motor driver can be achieved by the proposed APID control scheme after learning of the controller parameters.
    Relation: Expert Systems with Applications 38(9), pp.11866–11872
    DOI: 10.1016/j.eswa.2011.02.185
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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