Decoupling control of three-axis simulator

Guo Xing Yi; Chang Hong Wang; Wei Jiang; Bo Chang Shen; Zhen Yu Wang

Decoupling control of three-axis simulator

Guo Xing Yi^*
, Chang Hong Wang
, Wei Jiang
, Bo Chang Shen
, Zhen Yu Wang

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages	1164-1169
Number of pages	6
State	Published - 2005
Event	International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China Duration: 18 Aug 2005 → 21 Aug 2005

Publication series

Name	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

Conference	International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/Territory	China
City	Guangzhou
Period	18/08/05 → 21/08/05

Keywords

Convergence analysis
Decoupling
Inverse
Model Tracking
Neural network

Cite this

@inproceedings{c07c1e75427740fd84e8fec4fe0bda41,

title = "Decoupling control of three-axis simulator",

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 = "Convergence analysis, Decoupling, Inverse, Model Tracking, Neural network",

author = "Yi, \{Guo Xing\} and Wang, \{Chang Hong\} and Wei Jiang and Shen, \{Bo Chang\} and Wang, \{Zhen Yu\}",

year = "2005",

language = "英语",

isbn = "078039092X",

series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

pages = "1164--1169",

booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",

}

Yi, GX , Wang, CH, Jiang, W, Shen, BC & Wang, ZY 2005, Decoupling control of three-axis simulator. in 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, pp. 1164-1169, International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, China, 18/08/05.

Decoupling control of three-axis simulator. / Yi, Guo Xing ; Wang, Chang Hong; Jiang, Wei et al.
2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005. p. 1164-1169 (2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Decoupling control of three-axis simulator

AU - Yi, Guo Xing

AU - Wang, Chang Hong

AU - Jiang, Wei

AU - Shen, Bo Chang

AU - Wang, Zhen Yu

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Convergence analysis

KW - Decoupling

KW - Inverse

KW - Model Tracking

KW - Neural network

UR - https://www.scopus.com/pages/publications/28444484670

M3 - 会议稿件

AN - SCOPUS:28444484670

SN - 078039092X

SN - 9780780390928

T3 - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

SP - 1164

EP - 1169

BT - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

T2 - International Conference on Machine Learning and Cybernetics, ICMLC 2005

Y2 - 18 August 2005 through 21 August 2005

ER -

Decoupling control of three-axis simulator

Abstract

Publication series

Conference

Keywords

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