• DocumentCode
    3193596
  • Title

    PID Coefficient Design for the Automatic Voltage Regulator Using an Adaptive Inertia Particle Swarm Optimization

  • Author

    Kang, Hwan Il ; Kwon, Min Woo ; Bae, Hwan Gil

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Myongji Univ., Yongin, South Korea
  • fYear
    2011
  • fDate
    26-29 April 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we present a new particle swarm optimization. The original PSO has a weight term which is decreasing, increasing, or constant during iterations. In this paper, inertia terms are a vector instead of a scalar. Comparing a velocity and an updating term, the weight can be increased or decreased. That is, if the absolute value of velocity is larger or lesss than that of the update term, then the weight is increased or decreased, respectively. With the so-called adaptive inertia PSO algorithm we design PID coefficients for the automatic voltage regulators. We show that the proposed algorithm has a better performance than the original PSO under some conditions for the PID design of automatic voltage regulators.
  • Keywords
    control system synthesis; particle swarm optimisation; three-term control; voltage regulators; PID coefficient design; adaptive inertia PSO algorithm; adaptive inertia particle swarm optimization; automatic voltage regulator; Adaptive systems; Convergence; Equations; Particle swarm optimization; Regulators; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2011 International Conference on
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-1-4244-9222-0
  • Electronic_ISBN
    978-1-4244-9223-7
  • Type

    conf

  • DOI
    10.1109/ICISA.2011.5772346
  • Filename
    5772346