基于滚动时域控制的无人机机动博弈决策  

UAV Maneuvering Game Decision Based on Receding Horizon Control

作　　者：刘佳敏 吴庆宪[1] 王玉惠[1] 周大可[1] LIU Jiamin;WU Qingxian;WANG Yuhui;ZHOU Dake(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)

机构地区：[1]南京航空航天大学自动化学院,江苏南京211106

出　　处：《机械制造与自动化》2023年第2期145-148,共4页Machine Building & Automation

基　　金：科技部国家重点基础研究发展计划(973计划)(2018AA0100805)。

摘　　要：针对无人机机动决策计算复杂等问题,研究基于滚动时域控制的无人机机动博弈决策算法。分割无人机空战时间域,将机动决策问题转化成滚动时域控制下的最优控制序列求解问题;确定无人机系统的状态方程,选取机动过程中的控制变量;建立空战机动决策指标函数,计算敌我双方无人机的态势优势值,获得敌我双方无人机机动态势博弈矩阵,求解双方机动博弈决策的纳什均衡解,实现无人机机动博弈决策,并通过仿真实例验证所建模型的可行性和有效性。In view of the complexity of UAV maneuvering decision calculation,the game decision algorithm of UAV maneuvering is studied based on receding horizon control.The time domain of UAV air combat is segmented,the maneuver decision problem is transformed into the optimal control sequence solution problem under receding horizon control.The state equation of the UAV system is determined to select the control variables in the maneuver process.The index function of air combat maneuvering decision is constructed and the situation superiority value of UAV is calculated to obtain the game matrix of UAV maneuvering situation and solve the Nash equilibrium solution of UAV maneuvering decision,realizing the maneuvering game decision of UAV.The feasibility and effectiveness of the constructed model is verified by simulation examples.

关 键 词：无人机 机动博弈决策 滚动时域控制 态势优势 

分 类 号：V279.3[航空宇航科学与技术—飞行器设计]