• DocumentCode
    3094719
  • Title

    Predictive Control Research Based PID Neural Network of Large Ship

  • Author

    LV, Jin ; GUO, Chen ; Yun-feng Zheng ; Zhi-peng Shen ; YUAN, Shi-chun

  • Author_Institution
    Dalian Maritime Univ., Dalian
  • fYear
    2007
  • fDate
    5-8 Nov. 2007
  • Firstpage
    683
  • Lastpage
    687
  • Abstract
    Aiming to the control feature of large delay system like ships, designing a 2-rank derivative multi-step neural network predictive model and the algorithm, and presenting a fuzzy control scheme based on the model with PID neural network and fuzzy CMAC controller, we solve the problems of model online identification and controller online design in traditional adaptive control, so that the high precision output fellow-up control of systems with large delay and uncertain nonlinear features can be realized. Simulation results show that the method had perfect control effect.
  • Keywords
    adaptive control; cerebellar model arithmetic computers; control system synthesis; delay systems; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; predictive control; ships; three-term control; uncertain systems; adaptive control; controller online design; delay system; fuzzy CMAC controller; fuzzy control scheme; multistep neural network; online identification model; predictive control research; ship PID neural network; uncertain nonlinear features; Algorithm design and analysis; Delay systems; Fuzzy control; Fuzzy neural networks; Marine vehicles; Neural networks; Nonlinear control systems; Predictive control; Predictive models; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
  • Conference_Location
    Taipei
  • ISSN
    1553-572X
  • Print_ISBN
    1-4244-0783-4
  • Type

    conf

  • DOI
    10.1109/IECON.2007.4459953
  • Filename
    4459953