DocumentCode
3515446
Title
Multiple models adaptive decoupling controller applied to the wind tunnel system
Author
Wang, Xin ; Wang, Zhonglie ; Li, Shaoyuan ; Chai, Tianyou
Author_Institution
Ins. of Autom., Shanghai Jiao Tong Univ., China
Volume
1
fYear
2004
fDate
15-19 June 2004
Firstpage
432
Abstract
In this paper, a multivariable multiple models direct adaptive decoupling controller is presented to improve the transient response when the parameters of the system change abruptly. The controller is composed of multiple fixed controller models and two adaptive controller models. The fixed controller models are derived from the corresponding fixed system models directly and guaranteed to cover the controller parameter set, without partitioning the controller parameter set again. The adaptive controller models adopt the direct adaptive algorithm to reduce the design calculation. By the choice of the weighting polynomial matrix, it not only decouples the system dynamically, but also places the poles of the closed-loop system arbitrarily. The global convergence is obtained. The significance of the proposed method is that it is applicable to a MIMO system to reduce the effect of the interactions on the transient response greatly. Finally, several simulation examples in a wind tunnel experiment are given to show both effectiveness and practicality of the proposed method.
Keywords
MIMO systems; adaptive control; closed loop systems; convergence; pole assignment; polynomial matrices; transient response; wind tunnels; MIMO system; adaptive controller models; closed loop system poles; convergence; direct adaptive algorithm; direct adaptive decoupling controller; multiple fixed controller models; multivariable multiple models adaptive controller; pole placement; transient response; weighting polynomial matrix; wind tunnel system; Adaptive control; Aerodynamics; Automatic control; Automation; Control systems; Programmable control; Size control; Three-term control; Transient response; Wind forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1340608
Filename
1340608
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