• DocumentCode
    3205123
  • Title

    Artificial immune network applied to multivariable PID controller design with/without decoupler

  • Author

    Mingan Wang ; Shuo Feng ; Pengbin Duan ; Jianming Li ; Zhonghua Li

  • Author_Institution
    Dept. of Comput. Sci., Huizhou Univ., Huizhou, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    590
  • Lastpage
    595
  • Abstract
    This paper presents the comparative performance analysis of various artificial immune networks applied to Proportional-Integral-Derivative (PID) controller design for Multiple-Input Multiple-Output (MIMO) systems. Four artificial immune networks (i.e, opt-aiNet, IA-AIS, AHAIS and AINe-SL) are used to find optimal controller parameters for multivariable PID controller design with/without decoupler. Four conventional objective functions with respect to error are taken into account. The simulation results indicate that AINet-SL is more efficient for such multivariable PID controller design compared to opt-aiNet, IA-AIS and AHAIS.
  • Keywords
    MIMO systems; artificial immune systems; control system synthesis; multivariable control systems; optimal control; three-term control; AINet-SL; MIMO systems; artificial immune network; decoupler; multiple-input multiple-output systems; multivariable PID controller design; optimal controller parameters; proportional-integral-derivative controller design; Cloning; Immune system; MATLAB; MIMO; PD control; Tuning; Artificial immune network; Binary distillation column; Decoupler; MIMO; PID controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161800
  • Filename
    7161800