• DocumentCode
    2639162
  • Title

    A new PSO-PID tuning method for time-delay processes

  • Author

    Yang Bo ; Li Wan-zhou ; Yang Feng

  • Author_Institution
    Autom. Bus. Unit, CISDI Eng. Co., Ltd., Chongqing
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A novel method is proposed to design PID controllers for stable first order and high order systems with time delay. Using a first-order Pade approximation for the transport delay, this method is based on developing a certain relationship between the coefficients of corresponding powers of s in the numerator and those in the denominator of the closed loop transfer function for FOPTD processes. Such relationship between these coefficients is searched using particle swarm optimization (PSO) algorithm. Then, the approach is applied to high order systems by approximating them to FOPDT models. The proposed method originates from processes with small time delay; however, it is still effective even if the time delay is quite large. Simulation results show that the proposed method gives significantly better dynamic performances than IMC-PID method and the formula proposed by Smith, C.A. et al.
  • Keywords
    approximation theory; closed loop systems; control system synthesis; delays; particle swarm optimisation; process control; stability; three-term control; transfer functions; FOPDT model; PID controller design; PSO-PID tuning method; SOPDT model; closed loop transfer function; first-order Pade approximation; higher-order system; particle swarm optimization algorithm; stable first-order system; time-delay process control; Control systems; Delay effects; Particle swarm optimization; Power system modeling; Three-term control; Transfer functions; PID controller; Pade approximation; Particle swarm optimization; Time delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776358
  • Filename
    4776358