English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26418/27014 (98%)
Visitors : 11685887      Online Users : 303
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/6949

    Title: Speed Sensorless of an Induction Motor Using Self-tuning Fuzzy Identification
    Authors: Chun-Jung Chen (陳俊榮)
    Tien-Chi Chen
    Date: 2007
    Issue Date: 2009-12-31 16:27:16 (UTC+8)
    Abstract: This paper presents a novel method for sensor-less speed estimation of the induction motor, based on the self-tuning fuzzy identifier incorporating a threelayered network. The back-propagation algorithm is used to adjust the parameter of membership function, as well as to minimize the difference between the actual flux output and the output as predicted by the selftuning fuzzy identifier, so as to enable precise estimation of speed tracks of the actual motor speed. The experimental results demonstrated that the selftuning fuzzy identifier possesses a fairly good tracking capability and can accurately and rapidly identify the actual speed of the induction.
    Appears in Collections:[電機工程系所] 會議論文

    Files in This Item:

    File Description SizeFormat
    C10-06.pdf237KbAdobe PDF451View/Open

    All items in KSUIR are protected by copyright, with all rights reserved.

    ©Kun Shan University Library and Information Center
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback