国防科技大学学报2024，Vol.46Issue(1)：32-41,10.DOI:10.11887/j.cn.202401004
SEAD场景异构无人机配置与任务规划联合优化方法
Joint optimization for heterogeneous multi-UAV configuration and mission planning within SEAD scenarios
摘要
Abstract
SEAD(suppression of enemy air defenses)is a typical application scenario of multi-UAV cooperation.Based on the characteristics of this scenario,the number of different types of UAV was also used as a decision variable in the task planning problem,fully characterizing the various constraints of the target,mission,and UAV,and establishing a heterogeneous UAV formation path problem model.A two-layer joint optimization method was designed to solve the model:the upper layer was designed with the task connection impact indicator to accurately assess the quantitative requirements of various types of UAVs and guide UAVs configuration adjustments;the lower layer improved the genetic algorithm,which can efficiently handle multiple coupling constraints and can accurately adjust the mission plan in conjunction with UAV quantity changes.The two layers coordinate with each other to obtain a UAV configuration and mission execution plan that meet the requirements.Simulation results show that the method can obtain a reasonable UAV configuration plan without traversing various UAV configurations,while obtaining an efficient and feasible mission execution plan.关键词
SEAD场景/异构无人机/无人机配置/任务规划/任务衔接参数Key words
SEAD scenarios/heterogeneous UAV/UAV configuration/mission planning/mission connection parameters引用本文复制引用
王建峰,贾高伟,辛宏博,郭正,侯中喜..SEAD场景异构无人机配置与任务规划联合优化方法[J].国防科技大学学报,2024,46(1):32-41,10.基金项目
国家自然科学基金资助项目(61801495) （61801495）
