Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity

Guoqiang Zhu; Jinkun Liu

doi:10.1109/CCDC.2015.7162436

Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity

Guoqiang Zhu
, Jinkun Liu

School of Automation Science and Electrical Engineering

Beihang University

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

1 Scopus citations

Abstract

An adaptive dynamic surface control scheme is proposed for a class of longitudinal dynamics of a hypersonic flight vehicle with unknown input nonlinearity, which comprises dead-zones and sector nonlinearities. The dynamic inversion velocity controller and the dynamic surface attitude controller are proposed, the difficulty caused by the input nonlinear has been overcome. The uncertain nonlinear functions in the flight vehicle model are approximated by neural networks. Moreover, only one parameter needs to be updated online at each step, the computation burden and the explosion of complexity are greatly reduced. It is proved that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results are presented to illustrate the effectiveness of the proposed scheme.

Original language	English
Title of host publication	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3004-3009
Number of pages	6
ISBN (Electronic)	9781479970179
DOIs	https://doi.org/10.1109/CCDC.2015.7162436
State	Published - 17 Jul 2015
Event	27th Chinese Control and Decision Conference, CCDC 2015 - Qingdao, China Duration: 23 May 2015 → 25 May 2015

Publication series

Name	Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

Conference

Conference	27th Chinese Control and Decision Conference, CCDC 2015
Country/Territory	China
City	Qingdao
Period	23/05/15 → 25/05/15

Keywords

Adaptive neural control
Dynamic surface control
Hypersonic fight vehicle
Input nonlinearity
RBF neural networks

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10.1109/CCDC.2015.7162436

Cite this

Zhu, G., & Liu, J. (2015). Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity. In Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015 (pp. 3004-3009). Article 7162436 (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2015.7162436

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title = "Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity",

abstract = "An adaptive dynamic surface control scheme is proposed for a class of longitudinal dynamics of a hypersonic flight vehicle with unknown input nonlinearity, which comprises dead-zones and sector nonlinearities. The dynamic inversion velocity controller and the dynamic surface attitude controller are proposed, the difficulty caused by the input nonlinear has been overcome. The uncertain nonlinear functions in the flight vehicle model are approximated by neural networks. Moreover, only one parameter needs to be updated online at each step, the computation burden and the explosion of complexity are greatly reduced. It is proved that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results are presented to illustrate the effectiveness of the proposed scheme.",

keywords = "Adaptive neural control, Dynamic surface control, Hypersonic fight vehicle, Input nonlinearity, RBF neural networks",

author = "Guoqiang Zhu and Jinkun Liu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 27th Chinese Control and Decision Conference, CCDC 2015 ; Conference date: 23-05-2015 Through 25-05-2015",

year = "2015",

month = jul,

day = "17",

doi = "10.1109/CCDC.2015.7162436",

language = "英语",

series = "Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015",

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

pages = "3004--3009",

booktitle = "Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015",

address = "美国",

}

Zhu, G & Liu, J 2015, Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity. in Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015., 7162436, Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 3004-3009, 27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, 23/05/15. https://doi.org/10.1109/CCDC.2015.7162436

Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity. / Zhu, Guoqiang; Liu, Jinkun.
Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 3004-3009 7162436 (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015).

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

TY - GEN

T1 - Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity

AU - Zhu, Guoqiang

AU - Liu, Jinkun

PY - 2015/7/17

Y1 - 2015/7/17

N2 - An adaptive dynamic surface control scheme is proposed for a class of longitudinal dynamics of a hypersonic flight vehicle with unknown input nonlinearity, which comprises dead-zones and sector nonlinearities. The dynamic inversion velocity controller and the dynamic surface attitude controller are proposed, the difficulty caused by the input nonlinear has been overcome. The uncertain nonlinear functions in the flight vehicle model are approximated by neural networks. Moreover, only one parameter needs to be updated online at each step, the computation burden and the explosion of complexity are greatly reduced. It is proved that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results are presented to illustrate the effectiveness of the proposed scheme.

AB - An adaptive dynamic surface control scheme is proposed for a class of longitudinal dynamics of a hypersonic flight vehicle with unknown input nonlinearity, which comprises dead-zones and sector nonlinearities. The dynamic inversion velocity controller and the dynamic surface attitude controller are proposed, the difficulty caused by the input nonlinear has been overcome. The uncertain nonlinear functions in the flight vehicle model are approximated by neural networks. Moreover, only one parameter needs to be updated online at each step, the computation burden and the explosion of complexity are greatly reduced. It is proved that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results are presented to illustrate the effectiveness of the proposed scheme.

KW - Adaptive neural control

KW - Dynamic surface control

KW - Hypersonic fight vehicle

KW - Input nonlinearity

KW - RBF neural networks

UR - https://www.scopus.com/pages/publications/84945542249

U2 - 10.1109/CCDC.2015.7162436

DO - 10.1109/CCDC.2015.7162436

M3 - 会议稿件

AN - SCOPUS:84945542249

T3 - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

SP - 3004

EP - 3009

BT - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Chinese Control and Decision Conference, CCDC 2015

Y2 - 23 May 2015 through 25 May 2015

ER -

Zhu G, Liu J. Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity. In Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 3004-3009. 7162436. (Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015). doi: 10.1109/CCDC.2015.7162436

Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity

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