RBF adaptive sliding control for five-axis flexible satellite

Zheng Ma; Yunjie Wu; Xiaomeng Dong

doi:10.1109/ChiCC.2015.7260295

RBF adaptive sliding control for five-axis flexible satellite

Zheng Ma
, Yunjie Wu
, Xiaomeng Dong

School of Automation Science and Electrical Engineering

Beihang University
Science and Technology on Aircraft Control Laboratory
CAST

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

2 Scopus citations

Abstract

With consideration of the flexible attachment effect, a robust sliding mode control method is proposed to realize RBF optimization of 3-DOF satellite with 2-DOF load. RBF neural network's approximation characteristic enables us to estimate the nonlinear function of satellite dynamics equation, furthermore, to adjust the sliding mode control law. Meanwhile, adaptive law is adopted to optimize the weights of neural network, so that satellite attitude and load attitude reach the expectation. Simulation results reveal that, this method far surpass traditional control method in rapidity, robustness and accuracy. Moreover, it's timeliness values much during practical application.

Original language	English
Title of host publication	Proceedings of the 34th Chinese Control Conference, CCC 2015
Editors	Qianchuan Zhao, Shirong Liu
Publisher	IEEE Computer Society
Pages	4245-4250
Number of pages	6
ISBN (Electronic)	9789881563897
DOIs	https://doi.org/10.1109/ChiCC.2015.7260295
State	Published - 11 Sep 2015
Event	34th Chinese Control Conference, CCC 2015 - Hangzhou, China Duration: 28 Jul 2015 → 30 Jul 2015

Publication series

Name	Chinese Control Conference, CCC
Volume	2015-September
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	34th Chinese Control Conference, CCC 2015
Country/Territory	China
City	Hangzhou
Period	28/07/15 → 30/07/15

Keywords

adaptive RBF neural network
five-axis satellite model
flexible attachment
sliding mode variable structure

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10.1109/ChiCC.2015.7260295

Cite this

@inproceedings{f2aa2bcbb9f14dbb9dbad509984b85e9,

title = "RBF adaptive sliding control for five-axis flexible satellite",

abstract = "With consideration of the flexible attachment effect, a robust sliding mode control method is proposed to realize RBF optimization of 3-DOF satellite with 2-DOF load. RBF neural network's approximation characteristic enables us to estimate the nonlinear function of satellite dynamics equation, furthermore, to adjust the sliding mode control law. Meanwhile, adaptive law is adopted to optimize the weights of neural network, so that satellite attitude and load attitude reach the expectation. Simulation results reveal that, this method far surpass traditional control method in rapidity, robustness and accuracy. Moreover, it's timeliness values much during practical application.",

keywords = "adaptive RBF neural network, five-axis satellite model, flexible attachment, sliding mode variable structure",

author = "Zheng Ma and Yunjie Wu and Xiaomeng Dong",

note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",

year = "2015",

month = sep,

day = "11",

doi = "10.1109/ChiCC.2015.7260295",

language = "英语",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "4245--4250",

editor = "Qianchuan Zhao and Shirong Liu",

booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",

address = "美国",

}

Ma, Z, Wu, Y & Dong, X 2015, RBF adaptive sliding control for five-axis flexible satellite. in Q Zhao & S Liu (eds), Proceedings of the 34th Chinese Control Conference, CCC 2015., 7260295, Chinese Control Conference, CCC, vol. 2015-September, IEEE Computer Society, pp. 4245-4250, 34th Chinese Control Conference, CCC 2015, Hangzhou, China, 28/07/15. https://doi.org/10.1109/ChiCC.2015.7260295

RBF adaptive sliding control for five-axis flexible satellite. / Ma, Zheng; Wu, Yunjie; Dong, Xiaomeng.
Proceedings of the 34th Chinese Control Conference, CCC 2015. ed. / Qianchuan Zhao; Shirong Liu. IEEE Computer Society, 2015. p. 4245-4250 7260295 (Chinese Control Conference, CCC; Vol. 2015-September).

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

TY - GEN

T1 - RBF adaptive sliding control for five-axis flexible satellite

AU - Ma, Zheng

AU - Wu, Yunjie

AU - Dong, Xiaomeng

PY - 2015/9/11

Y1 - 2015/9/11

N2 - With consideration of the flexible attachment effect, a robust sliding mode control method is proposed to realize RBF optimization of 3-DOF satellite with 2-DOF load. RBF neural network's approximation characteristic enables us to estimate the nonlinear function of satellite dynamics equation, furthermore, to adjust the sliding mode control law. Meanwhile, adaptive law is adopted to optimize the weights of neural network, so that satellite attitude and load attitude reach the expectation. Simulation results reveal that, this method far surpass traditional control method in rapidity, robustness and accuracy. Moreover, it's timeliness values much during practical application.

AB - With consideration of the flexible attachment effect, a robust sliding mode control method is proposed to realize RBF optimization of 3-DOF satellite with 2-DOF load. RBF neural network's approximation characteristic enables us to estimate the nonlinear function of satellite dynamics equation, furthermore, to adjust the sliding mode control law. Meanwhile, adaptive law is adopted to optimize the weights of neural network, so that satellite attitude and load attitude reach the expectation. Simulation results reveal that, this method far surpass traditional control method in rapidity, robustness and accuracy. Moreover, it's timeliness values much during practical application.

KW - adaptive RBF neural network

KW - five-axis satellite model

KW - flexible attachment

KW - sliding mode variable structure

UR - https://www.scopus.com/pages/publications/84946573051

U2 - 10.1109/ChiCC.2015.7260295

DO - 10.1109/ChiCC.2015.7260295

M3 - 会议稿件

AN - SCOPUS:84946573051

T3 - Chinese Control Conference, CCC

SP - 4245

EP - 4250

BT - Proceedings of the 34th Chinese Control Conference, CCC 2015

A2 - Zhao, Qianchuan

A2 - Liu, Shirong

PB - IEEE Computer Society

T2 - 34th Chinese Control Conference, CCC 2015

Y2 - 28 July 2015 through 30 July 2015

ER -

RBF adaptive sliding control for five-axis flexible satellite

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Keywords

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