• DocumentCode
    142160
  • Title

    Parameters optimization study and analysis of PID controller in buck converter based on fuzzy particle swarm optimization algorithm

  • Author

    Anna Wang ; Zhanjun Huang ; Cui Lei ; Zhang Chao ; Erlei Wu

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    3
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    1562
  • Lastpage
    1566
  • Abstract
    In the field of power electronics, PID error control technology which does not need to establish accurate mathematical model of controlled system. And its´ design of control system is simple and practical, so it is widely used in power electronics DC/DC converter. As the typical circuit of DC/DC converter, Buck converter has strong nonlinear and time-varying. The traditional PID controller parameter tuning method cannot satisfy the control performance. Therefore, this paper adopt fuzzy particle swarm optimization algorithm, the control parameters of PID controller in Buck converter is optimized and the optimization result is given in the ITAE performance index. Finally, the optimization of this algorithm is analyzed and compared with the simulation results.
  • Keywords
    DC-DC power convertors; control system analysis; control system synthesis; fuzzy set theory; nonlinear control systems; optimisation; particle swarm optimisation; performance index; three-term control; time-varying systems; DC/DC converter; ITAE performance index; PID controller analysis; PID controller parameter tuning method; PID error control technology; buck converter; fuzzy particle swarm optimization algorithm; parameter optimization; power electronics; time-varying converter; ITAE performance index; PID controller; fuzzy particle swarm; parameter optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6946183
  • Filename
    6946183