• DocumentCode
    498215
  • Title

    Study of PID Control System for Ant Colony Algorithm

  • Author

    He, Hong ; Liu, Fang ; Li, Li ; Yang, Jin-Rong ; Su, Lei ; Wu, Yi

  • Author_Institution
    Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    204
  • Lastpage
    207
  • Abstract
    The key of PID control systematic optimization design is PID parameter optimization. Traditional PID controller parameter adopt experiment to add the way of trying to carry out optimization by man. It is fairly time-consuming, PID controller have no self-adaptive ability, can only rely on artificial optimization parameter. This paper puts forward a kind of algorithm to select the PID parameters based on the crowd algorithm of ant. Scientists have put forward the crowd algorithm of ant by imitating the ant collective in nature and. Imitation research has shown the validity of this algorithm. this algorithm have surmounted the disadvantages of traditional PID regulator parameter optimization.
  • Keywords
    optimisation; three-term control; PID control systematic optimization design; ant colony algorithm; artificial optimization parameter; crowd algorithm; Algorithm design and analysis; Ant colony optimization; Cities and towns; Control systems; Design optimization; Intelligent systems; Laboratories; Regulators; Robustness; Three-term control; Ant Colony Optimization; PID control; TSP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.137
  • Filename
    5208988