• DocumentCode
    2435590
  • Title

    Fuzzy IMC for Unstable Systems with Time Delay

  • Author

    Qi-bing Jin ; Chun-lei Feng ; Ming-xin Liu

  • Author_Institution
    Autom. Res. Inst., Beijing Univ. of Chem. Technol., Beijing, China
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    772
  • Lastpage
    778
  • Abstract
    Open-loop unstable systems with time delay are difficult to control using routine control methods. To solve this problem, an improved internal model control scheme, which adds a PD controller to traditional IMC structure, is proposed. Set point tracking performance and robustness can be designed independently. The tuning formula of PD controller is confirmed by a new performance index function. Fuzzy self-tuning rules of the filter time constant are built for the time-varying system. can be modified in real time in order to improved the closed-loop response performance. Simulations show that the improved IMC method is not only effective for the dynamics and the stability of control system but also effective for the process robustness. In addition, the proposed method is easy to design and regulate, and it is fit for engineering application.
  • Keywords
    PD control; adaptive control; closed loop systems; control system synthesis; delays; filtering theory; fuzzy control; performance index; robust control; self-adjusting systems; time-varying systems; tracking; PD controller tuning; closed-loop response performance; filter time constant; fuzzy internal model control; fuzzy self-tuning rule; open-loop unstable system; performance index function; robust control; set point tracking performance; time delay system; time-varying system; Control systems; Delay effects; Filters; Fuzzy systems; Open loop systems; PD control; Performance analysis; Robust stability; Robustness; Tuning; fuzzy control; improved IMC; robustness; self-tuning; unstable systems with time delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.273
  • Filename
    4756665