• DocumentCode
    3102215
  • Title

    A Two-Degree-of-Freedom IMC Parameters Online Intelligent Tuning Method

  • Author

    Gaohua Chen ; Zhang, Jinggang ; Zhao, Zhicheng

  • Author_Institution
    Sch. of Electron. Inf. Eng., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    483
  • Lastpage
    486
  • Abstract
    Focuses on the typical process in the industrial filed, a two-degree-of-freedom (TDOF) internal model controller was designed in this paper. It can independently adjust the target tracking performance, disturbance rejection properties and robustness. The on-line intelligent tuning method based on fuzzy neural network for the TDOF internal model controller was proposed. The theory analysis and simulation results show that the proposed method is simple, parameters tuning easy, and can make the system has a good target tracking performance, disturbance rejection properties and robustness.
  • Keywords
    fuzzy neural nets; model reference adaptive control systems; robust control; disturbance rejection; fuzzy neural network; internal model controller; online intelligent tuning method; robustness; two-degree-of-freedom IMC parameters; Decision support systems; Social network services; Zinc; Fuzzy neural network; Internal model control; Parameter tuning; Two-degree-of-freedom;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-8785-1
  • Type

    conf

  • DOI
    10.1109/CASoN.2010.114
  • Filename
    5636633