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
Link To Document :
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