TY - GEN
T1 - Maneuver decision for cooperative close-range air combat based on state predicted influence diagram
AU - Pan, Qian
AU - Zhou, Deyun
AU - Huang, Jichuan
AU - Lv, Xiaofeng
AU - Yang, Zhen
AU - Zhang, Kun
AU - Li, Xiaoyang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - A cooperative maneuver decision method for multiple unmanned aerial vehicles is proposed to address the close-range air combat problem in this article. As the perfect information of adversary is impossible to obtain, a state predicted influence diagram model is established to solve the problem of the maneuver decision in the close-range air combat. The elements are analyzed comprehensively based on the proposed model. A framework of the cooperative control system for the multi unmanned aerial vehicle is put forward, and an unscented Kalman filter model is used for belief state updating with the state prediction, which could provide an impactful information of combat state. In order to fulfill with the real-time requirement of the air combat, the moving horizon control approach is used for solving the proposed model. Experiment results indicate that the proposed method could offer a novel approach effectively and reasonably to analyze the close-range air combat. The superiority of the cooperative control strategy is demonstrated as well.
AB - A cooperative maneuver decision method for multiple unmanned aerial vehicles is proposed to address the close-range air combat problem in this article. As the perfect information of adversary is impossible to obtain, a state predicted influence diagram model is established to solve the problem of the maneuver decision in the close-range air combat. The elements are analyzed comprehensively based on the proposed model. A framework of the cooperative control system for the multi unmanned aerial vehicle is put forward, and an unscented Kalman filter model is used for belief state updating with the state prediction, which could provide an impactful information of combat state. In order to fulfill with the real-time requirement of the air combat, the moving horizon control approach is used for solving the proposed model. Experiment results indicate that the proposed method could offer a novel approach effectively and reasonably to analyze the close-range air combat. The superiority of the cooperative control strategy is demonstrated as well.
KW - cooperative control strategy
KW - maneuver decision
KW - multiple unmanned aerial vehicle
KW - state predicted influence diagram
KW - unscented Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=85039933062&partnerID=8YFLogxK
U2 - 10.1109/ICInfA.2017.8079001
DO - 10.1109/ICInfA.2017.8079001
M3 - 会议稿件
AN - SCOPUS:85039933062
T3 - 2017 IEEE International Conference on Information and Automation, ICIA 2017
SP - 726
EP - 731
BT - 2017 IEEE International Conference on Information and Automation, ICIA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Information and Automation, ICIA 2017
Y2 - 18 July 2017 through 20 July 2017
ER -