English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58041/91608 (63%)
Visitors : 13722762      Online Users : 51
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/39869

    Title: An intelligent fuzzy sliding mode control system with application on precision table positioning
    Authors: 林信成;Lin, Sinn-cheng;Huang, Pai-yi;Chen, Yung-yaw
    Contributors: 淡江大學資訊與圖書館學系
    Date: 2001-12-01
    Issue Date: 2010-01-27 16:46:13 (UTC+8)
    Publisher: Wiley-Blackwell
    Abstract: In this paper, an intelligent fuzzy sliding mode control system, which cooperates with a new learning approach called modulus genetic algorithm, is proposed. Furthermore, it is applied to a high precision table positioning system for verifying its practicability. Fuzzy sliding mode controller (FSMC) is a special type of fuzzy controller with certain attractive advantages than the conventional fuzzy controller. The learning and stability issues of FSMC are discussed in the paper. Furthermore, to overcome the encoding/decoding procedure that leads to considerable numeric errors in conventional genetic algorithm, this paper proposes a new algorithm called modulus genetic algorithm (MGA). The MGA uses the modulus operation such that the encoding/decoding procedure is not necessary. It has the following advantages: (1) the evolution can be speeded up; (2) the numeric truncation error can be avoided; (3) the precision of solution can be increased. For verifying the practicability of the proposed approach, the MGA-based FSMC is applied to design a position controller for a high precision table. The experimental results show the proposed approach can achieve submicro positioning precision.
    Relation: International Journal of Intelligent Systems 16(12), pp.1333-1356
    DOI: 10.1002/int.1063
    Appears in Collections:[Graduate Institute & Department of Information and Library Sciences] Journal Article

    Files in This Item:

    File Description SizeFormat
    An intelligent fuzzy sliding mode control system with application on precision table positioning.pdf300KbAdobe PDF0View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback