Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle

Weixiong Lu; Qingzhen Zhang; Kun Ni; Song Ye

doi:10.1109/CGNCC.2016.7828815

Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle

Weixiong Lu^*
, Qingzhen Zhang
, Kun Ni
, Song Ye

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

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

Abstract

For an air-breathing Hypersonic Air Vehicle (HAV) in cruise flight, the model is strongly nonlinear and coupled and includes uncertain parameters. A pseudo-linear model is obtained by input/output feedback linearization, and a model reference adaptive controller is applied to it. Single Hidden Layer (SHL) Perceptron Neural Network (NN) is used to cancel model error online because of its good nonlinear approximation. Considering that large-span maneuver or strong disturbance can cause control surface saturation, Pseudo-Control Hedging (PCH) is introduced. Simulation results show that the proposed adaptive control system has well tracking performance, strong robustness and anti-input-saturation characteristics.

Original language	English
Title of host publication	CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	379-384
Number of pages	6
ISBN (Electronic)	9781467383189
DOIs	https://doi.org/10.1109/CGNCC.2016.7828815
State	Published - 20 Jan 2017
Event	7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, China Duration: 12 Aug 2016 → 14 Aug 2016

Publication series

Name	CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

Conference

Conference	7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
Country/Territory	China
City	Nanjing, Jiangsu
Period	12/08/16 → 14/08/16

Access to Document

10.1109/CGNCC.2016.7828815

Cite this

Lu, W., Zhang, Q., Ni, K., & Ye, S. (2017). Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle. In CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference (pp. 379-384). Article 7828815 (CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CGNCC.2016.7828815

@inproceedings{2854f4cfa14d4c479bc68d5dddd7eef1,

title = "Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle",

abstract = "For an air-breathing Hypersonic Air Vehicle (HAV) in cruise flight, the model is strongly nonlinear and coupled and includes uncertain parameters. A pseudo-linear model is obtained by input/output feedback linearization, and a model reference adaptive controller is applied to it. Single Hidden Layer (SHL) Perceptron Neural Network (NN) is used to cancel model error online because of its good nonlinear approximation. Considering that large-span maneuver or strong disturbance can cause control surface saturation, Pseudo-Control Hedging (PCH) is introduced. Simulation results show that the proposed adaptive control system has well tracking performance, strong robustness and anti-input-saturation characteristics.",

author = "Weixiong Lu and Qingzhen Zhang and Kun Ni and Song Ye",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 ; Conference date: 12-08-2016 Through 14-08-2016",

year = "2017",

month = jan,

day = "20",

doi = "10.1109/CGNCC.2016.7828815",

language = "英语",

series = "CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference",

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

pages = "379--384",

booktitle = "CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference",

address = "美国",

}

Lu, W, Zhang, Q, Ni, K & Ye, S 2017, Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle. in CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference., 7828815, CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 379-384, 7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016, Nanjing, Jiangsu, China, 12/08/16. https://doi.org/10.1109/CGNCC.2016.7828815

Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle. / Lu, Weixiong; Zhang, Qingzhen; Ni, Kun et al.
CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference. Institute of Electrical and Electronics Engineers Inc., 2017. p. 379-384 7828815 (CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference).

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

TY - GEN

T1 - Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle

AU - Lu, Weixiong

AU - Zhang, Qingzhen

AU - Ni, Kun

AU - Ye, Song

PY - 2017/1/20

Y1 - 2017/1/20

N2 - For an air-breathing Hypersonic Air Vehicle (HAV) in cruise flight, the model is strongly nonlinear and coupled and includes uncertain parameters. A pseudo-linear model is obtained by input/output feedback linearization, and a model reference adaptive controller is applied to it. Single Hidden Layer (SHL) Perceptron Neural Network (NN) is used to cancel model error online because of its good nonlinear approximation. Considering that large-span maneuver or strong disturbance can cause control surface saturation, Pseudo-Control Hedging (PCH) is introduced. Simulation results show that the proposed adaptive control system has well tracking performance, strong robustness and anti-input-saturation characteristics.

AB - For an air-breathing Hypersonic Air Vehicle (HAV) in cruise flight, the model is strongly nonlinear and coupled and includes uncertain parameters. A pseudo-linear model is obtained by input/output feedback linearization, and a model reference adaptive controller is applied to it. Single Hidden Layer (SHL) Perceptron Neural Network (NN) is used to cancel model error online because of its good nonlinear approximation. Considering that large-span maneuver or strong disturbance can cause control surface saturation, Pseudo-Control Hedging (PCH) is introduced. Simulation results show that the proposed adaptive control system has well tracking performance, strong robustness and anti-input-saturation characteristics.

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DO - 10.1109/CGNCC.2016.7828815

M3 - 会议稿件

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T3 - CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

SP - 379

EP - 384

BT - CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016

Y2 - 12 August 2016 through 14 August 2016

ER -

Lu W, Zhang Q, Ni K, Ye S. Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle. In CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference. Institute of Electrical and Electronics Engineers Inc. 2017. p. 379-384. 7828815. (CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference). doi: 10.1109/CGNCC.2016.7828815

Adaptive Control with Pseudo-Control Hedging for a Hypersonic Air Vehicle

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