• DocumentCode
    2656426
  • Title

    A new algorithm of neuron PID control based on intelligent gain

  • Author

    Junli, Li ; Guanghui, Zhang ; Xiaohong, Zhu

  • Author_Institution
    Coll. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    7
  • Lastpage
    10
  • Abstract
    A new algorithm of neuron PID control based on intelligent gain is put forward, in which the mathematical model of objectives is not required, and the gain of the neuron PID controller is adjusted adaptively by fuzzy control strategy which has intelligent weight function. This method speeds up the response of control system. Simulation experiment of various process models shows that the algorithm is of good performance and strong robust.
  • Keywords
    fuzzy control; neurocontrollers; robust control; three-term control; control system; fuzzy control strategy; intelligent gain; intelligent weight function; neuron PID control; Automation; Control systems; Educational institutions; Electronic mail; Fuzzy control; Intelligent control; Mathematical model; Neurons; Robustness; Three-term control; Fuzzy Control; Gain; Neuron PID Control; Weight Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4604949
  • Filename
    4604949