Linear-quadratic and norm-bounded combined differential game guidance scheme with obstacle avoidance for attacking defended aircraft in three-player engagement

作     者：Xintao Wang Ming Yang Songyan Wang Mingzhe Hou Tao Chao Xintao Wang;Ming Yang;Songyan Wang;Mingzhe Hou;Tao Chao

作者机构：Control and Simulation CenterHarbin Institute of TechnologyHarbin 150001China National Key Laboratory of Complex System Control and Intelligent Agent CooperationHarbin 150001China Center for Control Theory and Guidance TechnologyHarbin Institute of TechnologyHarbin 150001China 

出 版 物：《Defence Technology（防务技术）》 (Defence Technology)

年 卷 期：2024年第42卷第12期

页      面：136-155页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：supported by National Natural Science Foundation(NNSF)of China under(Grant No.62273119) 

主　　题：Active defense aircraft Differential game theory Three-player confrontation Energy optimization Acceleration constraint Obstacle avoidance 

摘      要：A differential game guidance scheme with obstacle avoidance,based on the formulation of a combined linear quadratic and norm-bounded differential game,is designed for a three-player engagement scenario,which includes a pursuer,an interceptor,and an *** confrontation between the players is divided into four phases(P1-P4)by introducing the switching time,and proposing different guidance strategies according to the phase where the static obstacle is located:the linear quadratic game method is employed to devise the guidance scheme for the energy optimization when the obstacle is located in the P1 and P3 stages;the norm-bounded differential game guidance strategy is presented to satisfy the acceleration constraint under the circumstance that the obstacle is located in the P2 and P4 ***,the radii of the static obstacle and the interceptor are taken as the design parameters to derive the combined guidance strategy through the dead-zone function,which guarantees that the pursuer avoids the static obstacle,and the interceptor,and attacks the ***,the nonlinear numerical simulations verify the performance of the game guidance strategy.