• DocumentCode
    1988189
  • Title

    PID self-tuning control based on evolutionary programming

  • Author

    Xiaolan, Wang ; Dong Hanghui ; Debao, Chen

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Gansu Univ. of Technol., Lanzhou, China
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3132
  • Abstract
    With the difficult in controlling dead-time and nonlinear system, a new method of fuzzy parameter self-tuning PID control which is based on the combination of evolutionary programming and fuzzy theory is proposed in this paper, it uses evolutionary programming directly to derive fuzzy rule bases of PID parameter tuning. To a certain extent, it overcomes the shortcoming of single fuzzy control and conventional PID. The simulation result of Dead-time and nonlinear systems shows better static and dynamic performance of the new approach than that of conventional PID control.
  • Keywords
    adaptive control; evolutionary computation; fuzzy control; nonlinear control systems; self-adjusting systems; three-term control; PID self-tuning control; dead-time control; evolutionary programming; fuzzy parameter self-tuning PID control; nonlinear system control; Control systems; Error correction; Fuzzy control; Genetic programming; Nonlinear control systems; PD control; Pi control; Proportional control; Three-term control; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1020108
  • Filename
    1020108