Improved Self-tuning Fuzzy PID Controller for Speed Control of Induction Motor

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An improved self-tuning fuzzy PID controller, which has an ability to compensate for parameter variation, is proposed and applied to the speed control of the indirect vector-controlled induction motor. The controller gains are adjusted on-line using the tuning algorithm based on an artificial neural network (ANN). And a variable learning rate algorithm is proposed to improve the tracking performance while keeping the robustness. Simulation and experimental results confirm that good dynamic performance and high robustness to parameter variation and disturbance can be achieved by means of the proposed controller.

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  • 電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society

    電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society 124(7), 646-651, 2004-07-01

    The Institute of Electrical Engineers of Japan

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各種コード

  • NII論文ID(NAID)
    10013268338
  • NII書誌ID(NCID)
    AN10012320
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09136339
  • NDL 記事登録ID
    7020032
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-1608
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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