DocumentCode :
1714693
Title :
Robust H decentralized fuzzy tracking control for bank-to-turn missiles
Author :
Guo Chao ; Liang Xiao-Geng ; Wang Jun-Wei ; Wang Fei
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear :
2013
Firstpage :
3498
Lastpage :
3503
Abstract :
In this paper, a robust H decentralized fuzzy model reference tracking control design is proposed for bank-to-turn (BTT) missiles with uncertain parameters and external disturbances, where the dynamic model is written as a nonlinear large-scale interconnected system. Initially, a Takagi-Sugeno (T-S) fuzzy model is proposed to represent the nonlinear dynamic model of the BTT missile. Based on the obtained T-S fuzzy model, a decentralized fuzzy controller is subsequently developed to not only ensure the stability of the whole nonlinear interconnected closed-loop system, but also satisfy a desired H disturbance attenuation constraint. The outcome of the robust H decentralized fuzzy control problem is characterized in terms of a set of linear matrix inequalities (LMIs). Finally, simulation results on the BTT missile demonstrate the effectiveness of the proposed design method.
Keywords :
H control; closed loop systems; control system synthesis; decentralised control; fuzzy control; interconnected systems; linear matrix inequalities; missile control; nonlinear control systems; nonlinear dynamical systems; position control; robust control; uncertain systems; BTT missiles; LMI; T-S model; Takagi-Sugeno model; bank-to-turn missiles; closed-loop system; disturbance attenuation constraint; dynamic model; external disturbances; linear matrix inequalities; model reference tracking control design; nonlinear dynamic model; nonlinear large-scale interconnected system; robust H decentralized fuzzy control; stability; uncertain parameters; Attenuation; Fuzzy systems; Interconnected systems; Linear matrix inequalities; Missiles; Nonlinear dynamical systems; Robustness; Bank-to-turn (BTT) missiles; Decentralized control; H control; Linear matrix inequalities (LMIs); T-S fuzzy model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640026
Link To Document :
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