• DocumentCode
    1660981
  • Title

    An logical multivariable robust self-tuning decoupling direct algorithm

  • Author

    Ma, Z. ; Chai, T.Y.

  • Author_Institution
    Autom. Res. Center, Northeastern Univ., Liaoning, China
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1674
  • Abstract
    A logical multivariable robust self-tuning decoupling algorithm is presented. The robust self-tuning decoupling scheme takes a new method to choose normalization factor and bound of deadzone. The character of system is not affected by normalization factor and deadzone bound. To realize robust self-tuning decoupling control and to improve control performance, the compensation terms for the estimate values of unmodelled dynamics and unmeasurable disturbances are introduced into optimal predictor and control law equations, thus, the approximate decoupling control results is obtained, and the stability robustness and performance robustness is improved greatly. Finally, the robustness analysis and simulation results of the algorithm are also given
  • Keywords
    adaptive control; compensation; multivariable control systems; optimal control; robust control; self-adjusting systems; approximate decoupling control; compensation terms; deadzone bound; logical multivariable robust self-tuning decoupling direct algorithm; normalization factor; optimal control law; optimal predictor; performance robustness; stability robustness; unmeasurable disturbances; Adaptive algorithm; Adaptive control; Control systems; Equations; Lakes; MIMO; Optimal control; Robust control; Robust stability; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411199
  • Filename
    411199