• DocumentCode
    2626356
  • Title

    Grey prediction approach for designing grey sliding mode controller

  • Author

    Lu, Hung-Ching

  • Author_Institution
    Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
  • Volume
    1
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    403
  • Abstract
    In this work, the grey prediction is integrated into the SMC to develop a grey sliding mode controller (GSMC). But unlike the traditional SMC, which obeys the variable structure control principle by adopting a switching control term, the proposed GSMC uses a unified continuously varying term instead. As a result, not only the chattering phenomenon of the system is completely eliminated, but also the response and robustness are all improved as well. In most of these studies, the systems are limited to second-order. Thus, a decoupled method is introduced to generalize this approach to high-order systems. This demonstrates that the decoupled GSMC is applicable to the high-order systems, such as the permanent magnet synchronous motor drive system.
  • Keywords
    control system synthesis; grey systems; robust control; time-varying systems; variable structure systems; grey prediction approach; grey sliding mode control; high-order systems; switching control term; variable structure control; Control system synthesis; Control systems; Electric variables control; Error correction; Magnetic variables control; Nonlinear control systems; Power system modeling; Predictive models; Signal design; Sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1398331
  • Filename
    1398331