• DocumentCode
    424312
  • Title

    Intelligence analysis and improvement of nonlinear PID based on nonlinear norm transformation

  • Author

    Chen, Zhong ; Xu, Xin ; Wang, Shi

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • Volume
    2
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    1105
  • Abstract
    Nonlinear proportional-integral-derivative (NPID) controller is realized by modulating the control gains of a conventional linear PID controller. In order to develop the machine intelligence, the intelligence and modulating principles of P-I-D controls of NPID controller based on nonlinear norm transformation (NNTPID for short) are discussed in This work. A revision is proposed to the integral control of NNTPID and simulation results show that the improved NNTPID can accelerate the stabilizing process and reduce rising time and overshoot. As for the disadvantage of the steady output errors caused by the simulation precision or the sensitivity of measurement instruments in practical applications, a variable structure control or multimodal control strategy is also suggested.
  • Keywords
    artificial intelligence; linear systems; multivariable control systems; nonlinear control systems; three-term control; variable structure systems; linear system; machine intelligence; multimodal control strategy; nonlinear PID control; nonlinear norm transformation; nonlinear proportional-integral-derivative control; variable structure control; Control systems; Error correction; Information science; Linear systems; Machine intelligence; Materials science and technology; Nonlinear control systems; Pi control; Proportional control; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382354
  • Filename
    1382354