• DocumentCode
    3044866
  • Title

    Adaptive control with decoupling algorithm for the hovering submarines

  • Author

    Yang, Yongpeng ; Hao, Yanling

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    1382
  • Lastpage
    1386
  • Abstract
    A new adaptive decoupling control algorithm is presented for a family of complex MIMO systems with strong couplings and severe nonlinearity such as the hovering submarines. The couplings between different channels are decoupled with the modified Feedback Decoupling Control Algorithm (MFDC), and the subsystems is adjusted with the online parameters estimation algorithm based on the neural networks algorithm(NN), thereby the algorithm can effectively decouple the complex systems while enhancing the accuracy and robustness of the control system. Results of the simulation of hovering submarine demonstrate the effectiveness of this approach.
  • Keywords
    MIMO systems; adaptive control; feedback; neural nets; nonlinear control systems; parameter estimation; underwater vehicles; adaptive control; complex MIMO systems; decoupling algorithm; feedback decoupling control algorithm; hovering submarines; neural networks algorithm; online parameters estimation algorithm; severe nonlinearity; Adaptive control; Control systems; Couplings; MIMO; Neural networks; Neurofeedback; Nonlinear control systems; Parameter estimation; Programmable control; Underwater vehicles; adaptive control; decoupling algorithm; hovering submarine; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2010 IEEE International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-5701-4
  • Type

    conf

  • DOI
    10.1109/ICINFA.2010.5512100
  • Filename
    5512100