• DocumentCode
    2731065
  • Title

    The controlling parameters tuning and its application of fractional order PID bacterial foraging-based oriented by particle swarm optimization

  • Author

    Luo, Youxin ; Li, Jianying

  • Author_Institution
    Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
  • Volume
    1
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    4
  • Lastpage
    7
  • Abstract
    PID control is the most common control method used in process contro1. Fractional-order PI¿Dß control is the generalization and development of the integer-order PID contro1. Compared to integer PID controller, fractional PI¿Dß controller has more advantages than integer PID, but the scarcity of tuning methods of the fractional PID is still a problem to be resolved. Based on filter algorithms and adopting the Matlab/Simulink software, a global search optimization method with bacterial foraging oriented by particle swarm optimization was applied for the optimization of the five parameters of fractional controllers, including orders of fractional calculus. Simulation results show that it is an effective tuning strategy. It also can be seen that better control quality can be achieved by using fractional PI¿Dß controller for nonlinear systems.
  • Keywords
    mathematics computing; nonlinear control systems; particle swarm optimisation; three-term control; Matlab/Simulink software; PID control; controlling parameters tuning; filter algorithms; fractional calculus; fractional controllers; fractional order PID bacterial foraging; fractional-order PI¿DÃ\x9f control; global search optimization method; nonlinear systems; particle swarm optimization; Control systems; Filters; Fractional calculus; Microorganisms; Nonlinear control systems; Nonlinear systems; Optimization methods; Particle swarm optimization; Software algorithms; Three-term control; Fractional calculus; Matlab/Simulink; bacterial foraging oriented by particle swarm optimization; fractional PIλDβ controller; parameters tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357944
  • Filename
    5357944