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