• DocumentCode
    2662819
  • Title

    The PID parameters tuning based on immune mind evolutionary algorithm

  • Author

    Ting, Li ; Gang Xie ; Jing, Zhang

  • Author_Institution
    Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    51
  • Lastpage
    55
  • Abstract
    In accordance with the mechanism of immune clonal selection, a kind of PID parameter tuning method based on immune mind evolutionary algorithm was proposed in the paper. In the paper, the algorithm was also used in super-heated steam temperature PID tuning in thermal power plant and which was simulated in LabVIEW. The simulation results indicate that PID parameter tuning with IMEA has greater convergence ability than with MEA. The realization of the immune mind evolutionary algorithm in the LabVIEW makes a foundation for the further industrial application.
  • Keywords
    artificial immune systems; control system synthesis; evolutionary computation; heat transfer; thermal power stations; three-term control; LabVIEW; PID parameters tuning; immune clonal selection; immune mind evolutionary algorithm; superheated steam temperature PID tuning; thermal power plant; Convergence; Educational institutions; Evolutionary computation; Paper technology; Power generation; Temperature; Three-term control; Immune mind evolutionary algorithm; LabVIEW; PID parameters tuning;
  • 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.2008.4605319
  • Filename
    4605319