• DocumentCode
    335229
  • Title

    A new multivariable robust self-tuning decoupling implicit algorithm

  • Author

    Ma, Z. ; Chai, T.Y.

  • Author_Institution
    Automation Res. Centre, Northeastern Univ., Liaoning, China
  • Volume
    1
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    475
  • Abstract
    A new multivariable robust self-tuning decoupling implicit algorithm is presented. Even if there exist stronger unmodelled dynamics and bounded unmeasurable disturbances in the systems, the closed-loop system is still stable. The new choice of normalization coefficients and width of deadzone are presented, and it does not affect the character of the system. To realize robust decoupling, the compensation terms of the estimated values of unmodelled dynamics and unmeasurable disturbances are introduced into the control law and predictor equations, and the approximate decoupling control results can be obtained. Finally, the robustness analysis and simulation results of the presented algorithm are also given.
  • Keywords
    adaptive control; closed loop systems; compensation; dynamics; multivariable control systems; robust control; self-adjusting systems; bounded unmeasurable disturbances; closed-loop system; compensation; deadzone; multivariable control system; normalization coefficients; robust control; robustness analysis; self-tuning decoupling control; unmodelled dynamics; Adaptive algorithm; Adaptive control; Algorithm design and analysis; Analytical models; Control systems; Equations; MIMO; Polynomials; Robust control; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.751782
  • Filename
    751782