MPC-consensus based optimal cooperative guidance law design

Shen Kang; Jianan Wang; Guang Li; Jiayuan Shan

doi:10.1109/CGNCC.2016.7828807

MPC-consensus based optimal cooperative guidance law design

Shen Kang, Jianan Wang, Guang Li, Jiayuan Shan

School of Aerospace Engineering

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

3 Citations (Scopus)

Abstract

In this paper, a model predictive control(MPC)-based cooperative guidance approach, which launches a salvo attack for multi-missile engagement against a stationary target, is proposed. This guidance scheme stems from a centralized MPC for multi-agent output consensus problem, which is solved online by quadratic programming. Without time-to-go estimation, the time coordination of salvo attack is achieved via the simultaneity of synchronized states among missiles, which is inherited from the very essence of consensus in multi-agent systems. Acceleration constraint is considered as well in the approach. To adapt to the nonlinear model of the engagement, state-dependent technique is used during the prediction and optimization. Numerical simulation results are presented to demonstrate the effectiveness of the proposed cooperative guidance approach.

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	336-341
Number of pages	6
ISBN (Electronic)	9781467383189
DOIs	https://doi.org/10.1109/CGNCC.2016.7828807
Publication status	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

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10.1109/CGNCC.2016.7828807

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Kang, S., Wang, J., Li, G., & Shan, J. (2017). MPC-consensus based optimal cooperative guidance law design. In CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference (pp. 336-341). Article 7828807 (CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CGNCC.2016.7828807

@inproceedings{5e8ce6ec81e942e4941c9fbce2546205,

title = "MPC-consensus based optimal cooperative guidance law design",

abstract = "In this paper, a model predictive control(MPC)-based cooperative guidance approach, which launches a salvo attack for multi-missile engagement against a stationary target, is proposed. This guidance scheme stems from a centralized MPC for multi-agent output consensus problem, which is solved online by quadratic programming. Without time-to-go estimation, the time coordination of salvo attack is achieved via the simultaneity of synchronized states among missiles, which is inherited from the very essence of consensus in multi-agent systems. Acceleration constraint is considered as well in the approach. To adapt to the nonlinear model of the engagement, state-dependent technique is used during the prediction and optimization. Numerical simulation results are presented to demonstrate the effectiveness of the proposed cooperative guidance approach.",

author = "Shen Kang and Jianan Wang and Guang Li and Jiayuan Shan",

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.2016.7828807",

language = "English",

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

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

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address = "United States",

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Kang, S, Wang, J, Li, G & Shan, J 2017, MPC-consensus based optimal cooperative guidance law design. in CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference., 7828807, CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 336-341, 7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016, Nanjing, Jiangsu, China, 12/08/16. https://doi.org/10.1109/CGNCC.2016.7828807

MPC-consensus based optimal cooperative guidance law design. / Kang, Shen; Wang, Jianan; Li, Guang et al.
CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference. Institute of Electrical and Electronics Engineers Inc., 2017. p. 336-341 7828807 (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 - MPC-consensus based optimal cooperative guidance law design

AU - Kang, Shen

AU - Wang, Jianan

AU - Li, Guang

AU - Shan, Jiayuan

PY - 2017/1/20

Y1 - 2017/1/20

N2 - In this paper, a model predictive control(MPC)-based cooperative guidance approach, which launches a salvo attack for multi-missile engagement against a stationary target, is proposed. This guidance scheme stems from a centralized MPC for multi-agent output consensus problem, which is solved online by quadratic programming. Without time-to-go estimation, the time coordination of salvo attack is achieved via the simultaneity of synchronized states among missiles, which is inherited from the very essence of consensus in multi-agent systems. Acceleration constraint is considered as well in the approach. To adapt to the nonlinear model of the engagement, state-dependent technique is used during the prediction and optimization. Numerical simulation results are presented to demonstrate the effectiveness of the proposed cooperative guidance approach.

AB - In this paper, a model predictive control(MPC)-based cooperative guidance approach, which launches a salvo attack for multi-missile engagement against a stationary target, is proposed. This guidance scheme stems from a centralized MPC for multi-agent output consensus problem, which is solved online by quadratic programming. Without time-to-go estimation, the time coordination of salvo attack is achieved via the simultaneity of synchronized states among missiles, which is inherited from the very essence of consensus in multi-agent systems. Acceleration constraint is considered as well in the approach. To adapt to the nonlinear model of the engagement, state-dependent technique is used during the prediction and optimization. Numerical simulation results are presented to demonstrate the effectiveness of the proposed cooperative guidance approach.

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U2 - 10.1109/CGNCC.2016.7828807

DO - 10.1109/CGNCC.2016.7828807

M3 - Conference contribution

AN - SCOPUS:85015259603

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

SP - 336

EP - 341

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 -

MPC-consensus based optimal cooperative guidance law design

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