• DocumentCode
    2719776
  • Title

    A design of robust self-tuning GPC-based PID controllers

  • Author

    Nakano, Koutaro ; Yamamoto, Toru ; Hinamoto, Takao

  • Author_Institution
    Hiroshima Univ., Japan
  • Volume
    1
  • fYear
    2003
  • fDate
    2-6 Nov. 2003
  • Firstpage
    285
  • Abstract
    PID control schemes have been widely used in most process systems represented by chemical processes for a long time. However, it is still a very important problem how to determine or tune the PID parameters, because these parameter have a great influence on the stability and the performance of the control system. On the other hand, it is well known that the generalized predictive controller(GPC) is effective for systems with ambiguous time-delays and/or time-variant time-delays. Then, the PID parameters adjusting method based on GPC has been proposed. In this paper, a new tuning algorithm of PID parameters based on GPC is proposed, which is composed of an adaptive switching scheme and some robust PID sub-controllers switched by the former according to a certain property of the controlled object. Finally, the proposed control scheme is investigated on a numerical simulation example.
  • Keywords
    adaptive control; control system synthesis; delays; numerical analysis; predictive control; robust control; self-adjusting systems; three-term control; GPC; PID controller design; PID parameters; adaptive switching; ambiguous time delays; chemical processes; control system; control system synthesis; generalized predictive controller; numerical simulation; parameter determination; robust controller; self tuning controller; stability; time variant time delays; tuning algorithm; Adaptive control; Chemical processes; Control systems; Delay effects; Predictive models; Programmable control; Robust control; Stability; Three-term control; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
  • Print_ISBN
    0-7803-7906-3
  • Type

    conf

  • DOI
    10.1109/IECON.2003.1279993
  • Filename
    1279993