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
Link To Document :
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