Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach

Zi Peng Wang; Huai Ning Wu; Bo Jiang; Lei Guo

doi:10.1109/CDC.2014.7040452

Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach

Zi Peng Wang
, Huai Ning Wu
, Bo Jiang
, Lei Guo

Beihang University

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

4 Scopus citations

Abstract

In this paper, a fuzzy sampled-data attitude tracking controller is designed for Mars entry vehicles. Initially, to reduce the complexity of fuzzy modeling, the original nonlinear attitude system is divided into two subsystems by using two time-scale decomposition method. Subsequently, the dynamic inversion control technique is applied to the slow subsystem to generate the angular velocity command. Then, based on the Takagi-Sugeno (T-S) fuzzy model of the fast subsystem and the angular velocity command, the fuzzy sampled-data controller is designed for the fuzzy tracking error system to derive the desired control torques by using a time-dependent Lyapunov functional. Finally, the simulation results on the Mars entry vehicles are given to illustrate the feasibility and effectiveness of the proposed method.

Original language	English
Title of host publication	53rd IEEE Conference on Decision and Control,CDC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6770-6775
Number of pages	6
Edition	February
ISBN (Electronic)	9781479977468
DOIs	https://doi.org/10.1109/CDC.2014.7040452
State	Published - 2014
Event	2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States Duration: 15 Dec 2014 → 17 Dec 2014

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Number	February
Volume	2015-February
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Country/Territory	United States
City	Los Angeles
Period	15/12/14 → 17/12/14

Access to Document

10.1109/CDC.2014.7040452

Cite this

Wang, Z. P., Wu, H. N., Jiang, B., & Guo, L. (2014). Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach. In 53rd IEEE Conference on Decision and Control,CDC 2014 (February ed., pp. 6770-6775). Article 7040452 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2015-February, No. February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2014.7040452

@inproceedings{ff1c70e7ee4a4a288a1eb6ba7f7184bd,

title = "Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach",

abstract = "In this paper, a fuzzy sampled-data attitude tracking controller is designed for Mars entry vehicles. Initially, to reduce the complexity of fuzzy modeling, the original nonlinear attitude system is divided into two subsystems by using two time-scale decomposition method. Subsequently, the dynamic inversion control technique is applied to the slow subsystem to generate the angular velocity command. Then, based on the Takagi-Sugeno (T-S) fuzzy model of the fast subsystem and the angular velocity command, the fuzzy sampled-data controller is designed for the fuzzy tracking error system to derive the desired control torques by using a time-dependent Lyapunov functional. Finally, the simulation results on the Mars entry vehicles are given to illustrate the feasibility and effectiveness of the proposed method.",

author = "Wang, \{Zi Peng\} and Wu, \{Huai Ning\} and Bo Jiang and Lei Guo",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 ; Conference date: 15-12-2014 Through 17-12-2014",

year = "2014",

doi = "10.1109/CDC.2014.7040452",

language = "英语",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "February",

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booktitle = "53rd IEEE Conference on Decision and Control,CDC 2014",

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Wang, ZP, Wu, HN , Jiang, B & Guo, L 2014, Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach. in 53rd IEEE Conference on Decision and Control,CDC 2014. February edn, 7040452, Proceedings of the IEEE Conference on Decision and Control, no. February, vol. 2015-February, Institute of Electrical and Electronics Engineers Inc., pp. 6770-6775, 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014, Los Angeles, United States, 15/12/14. https://doi.org/10.1109/CDC.2014.7040452

Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach. / Wang, Zi Peng; Wu, Huai Ning ; Jiang, Bo et al.
53rd IEEE Conference on Decision and Control,CDC 2014. February. ed. Institute of Electrical and Electronics Engineers Inc., 2014. p. 6770-6775 7040452 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2015-February, No. February).

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

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AU - Jiang, Bo

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N2 - In this paper, a fuzzy sampled-data attitude tracking controller is designed for Mars entry vehicles. Initially, to reduce the complexity of fuzzy modeling, the original nonlinear attitude system is divided into two subsystems by using two time-scale decomposition method. Subsequently, the dynamic inversion control technique is applied to the slow subsystem to generate the angular velocity command. Then, based on the Takagi-Sugeno (T-S) fuzzy model of the fast subsystem and the angular velocity command, the fuzzy sampled-data controller is designed for the fuzzy tracking error system to derive the desired control torques by using a time-dependent Lyapunov functional. Finally, the simulation results on the Mars entry vehicles are given to illustrate the feasibility and effectiveness of the proposed method.

AB - In this paper, a fuzzy sampled-data attitude tracking controller is designed for Mars entry vehicles. Initially, to reduce the complexity of fuzzy modeling, the original nonlinear attitude system is divided into two subsystems by using two time-scale decomposition method. Subsequently, the dynamic inversion control technique is applied to the slow subsystem to generate the angular velocity command. Then, based on the Takagi-Sugeno (T-S) fuzzy model of the fast subsystem and the angular velocity command, the fuzzy sampled-data controller is designed for the fuzzy tracking error system to derive the desired control torques by using a time-dependent Lyapunov functional. Finally, the simulation results on the Mars entry vehicles are given to illustrate the feasibility and effectiveness of the proposed method.

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M3 - 会议稿件

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T2 - 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014

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ER -

Wang ZP, Wu HN , Jiang B , Guo L. Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach. In 53rd IEEE Conference on Decision and Control,CDC 2014. February ed. Institute of Electrical and Electronics Engineers Inc. 2014. p. 6770-6775. 7040452. (Proceedings of the IEEE Conference on Decision and Control; February). doi: 10.1109/CDC.2014.7040452

Attitude tracking of mars entry vehicles via fuzzy sampled-data control approach

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