TY - GEN
T1 - Design of Dynamic Tactical Control Range in Air Combat based on Three-Party Game
AU - Gao, Weinan
AU - Yang, Zhen
AU - Huang, Jichuan
AU - Chai, Shiyuan
AU - Zhou, Deyun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Traditional combat decision information, which is calculated by assuming the target maneuver state, is no longer suitable for highly dynamic situation in modern air combat. In order to address aforementioned problem, a novel concept of dynamic tactical control range (DTCR) is proposed in this paper under the analysis of aerial confrontation mechanism. Based on differential game theory, an aerial three-party combined system of target-defender-attacker is established. Thus, the combat problem is transformed into a two-team linear differential game model between the attacker and the coalition of the defender and the target. The analytic solution of the game model provides an optimal pursuit-evasion control law (OPCL) for each of the adversarial three-party. Moreover, DTCR boundary search algorithm based on improved advance-retreat method is designed to calculate DTCR in real-time for decision application. The simulation results demonstrate that the DTCR approach is effective to improve the hit probability of the missile under aerial confrontation condition, and is reliable to support pilots with rational decision information.
AB - Traditional combat decision information, which is calculated by assuming the target maneuver state, is no longer suitable for highly dynamic situation in modern air combat. In order to address aforementioned problem, a novel concept of dynamic tactical control range (DTCR) is proposed in this paper under the analysis of aerial confrontation mechanism. Based on differential game theory, an aerial three-party combined system of target-defender-attacker is established. Thus, the combat problem is transformed into a two-team linear differential game model between the attacker and the coalition of the defender and the target. The analytic solution of the game model provides an optimal pursuit-evasion control law (OPCL) for each of the adversarial three-party. Moreover, DTCR boundary search algorithm based on improved advance-retreat method is designed to calculate DTCR in real-time for decision application. The simulation results demonstrate that the DTCR approach is effective to improve the hit probability of the missile under aerial confrontation condition, and is reliable to support pilots with rational decision information.
KW - air combat
KW - dynamic tactical control range
KW - optimal pursuit-evasion control law
KW - three-party game
UR - http://www.scopus.com/inward/record.url?scp=85181840617&partnerID=8YFLogxK
U2 - 10.1109/CCDC58219.2023.10326849
DO - 10.1109/CCDC58219.2023.10326849
M3 - 会议稿件
AN - SCOPUS:85181840617
T3 - Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023
SP - 3946
EP - 3951
BT - Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th Chinese Control and Decision Conference, CCDC 2023
Y2 - 20 May 2023 through 22 May 2023
ER -