• DocumentCode
    2204052
  • Title

    A novel method using PFA in parameters turning of PID controller of high-order system

  • Author

    Cheng, Ming ; Dai, Dawei ; Zhang, Pandeng ; Liu, Jia ; Luo, Fei

  • fYear
    2011
  • fDate
    6-8 June 2011
  • Firstpage
    662
  • Lastpage
    665
  • Abstract
    This paper uses a new bionic algorithm in turning of PID parameters. The Paddy Field Algorithm (PFA) is operated in the parametric space from the initial scattering of seeds. The number of seeds of every plant depends on the function value, as the plant, the closest optimal solution, produces the most seeds. The produced seeds also depend on the number of the plant´s neighbors, for only a percentage is viable due to pollination. Moreover, the seeds of each plant must be dispersed in order to prevent being stuck in local minima. We thus applied this improved algorithm to design the PID controller of a high-order system. The effect of various parameters on the performance of the algorithm was also studied. Its performance is tested with the PID and PSO algorithms. The results show that the approach is effective and the designed controller has a better performance of overshoot and settling time.
  • Keywords
    control system synthesis; parameter estimation; particle swarm optimisation; three-term control; PFA; PID controller design; PID controller parameter turning; PSO algorithm; bionic algorithm; high-order system; overshoot performance; paddy field algorithm; Algorithm design and analysis; Control systems; Genetic algorithms; Optimization; Particle swarm optimization; Tuning; Turning; Bionic Algorithm; Optimum Solution; PID Controller; Paddy Field Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2011 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4577-0268-6
  • Electronic_ISBN
    978-1-4577-0269-3
  • Type

    conf

  • DOI
    10.1109/ICINFA.2011.5949076
  • Filename
    5949076