DocumentCode :
2325627
Title :
Decoupling control of three-axis simulator
Author :
Yi, Guo-Xing ; Wang, Chang-Hong ; Jiang, Wei ; Shen, Bo-Chang ; Wang, Zhen-Yu
Author_Institution :
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., China
Volume :
2
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
1164
Abstract :
In this paper, the decoupling problem for a three-axis simulator is considered. The dynamic model of the simulator is established firstly, and the reversibility of the model is proved. The three-axis simulator is highly coupled and nonlinear. The nonlinear autoregressive exogenous input (NARX) neural network is introduced to identify the inverse model of the simulator. A Lyapunov function is introduced to prove the convergence of the network. A strategy for inverse model decoupling control is proposed. The decoupling result in this paper supports the theory and decoupling strategy.
Keywords :
Lyapunov methods; aerospace control; aerospace simulation; control system synthesis; discrete time systems; neural nets; nonlinear dynamical systems; Lyapunov function; inverse model decoupling control problem; nonlinear autoregressive exogenous input neural network; nonlinear dynamical three-axis simulator model; Control systems; Convergence; Friction; Inverse problems; Neural networks; Neurofeedback; Nonlinear dynamical systems; Recurrent neural networks; Space technology; Space vehicles; Convergence analysis; Decoupling; Inverse; Model Tracking; Neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527119
Filename :
1527119
Link To Document :
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