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作 者:张栋[1] 李如飞 闫晓东[1] 郝峰[2] 赵志权 Zhang Dong;Li Rufei;Yan Xiaodong;Hao Feng;Zhao Zhiquan(School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,China;Xi’an Modern Control Technology Research Institute,Xi’an 710065,China;AVIC Jiangxi Hongdu Aviation Industry Refco Group Ltd,Nanchang 330024,China)
机构地区:[1]西北工业大学航天学院,西安710072 [2]西安现代控制技术研究所,西安710065 [3]江西航空工业集团有限责任公司,南昌330024
出 处:《战术导弹技术》2020年第6期17-29,103,共14页Tactical Missile Technology
摘 要:多弹协同航迹规划技术是实现协同作战的关键技术之一。为了使集群巡飞弹有效地规避威胁,提高生存概率及作战效能,提出一种混合协同航迹规划方法,采用离散映射差分进化算法完成对集群巡飞弹的任务分配,应用文化算法求解协同航迹,实现基于目标的协同航迹规划。通过编码离散空间和航程连续空间相互映射方式,改进差分进化算法,实现离散参数组合优化,应用于集群巡飞弹多目标分配;进一步丰富和优化了文化算法种群集知识结构和信念集,并与多目标差分算法相结合,提升了获得全局最优解的收敛速度。仿真结果表明,由该方法所规划的协同航迹能够满足约束,具有较小的飞行代价。Multi-missile cooperative path planning technology is one of the key technologies to achieve coordinated combat.In order to make the loitering munition swarms effectively avoid the threat,improve the survival probability and combat effectiveness,a hybrid cooperative path planning method is proposed,which applies the discrete mapping differential evolution algorithm into task assignment of the loitering munition swarms,and applies the cultural algorithm to solve the coordinated tracks,a coordinated path planning based on target is realized.The differential evolution algorithm is improved by the coding discrete space and the voyage continuous space,and the discrete parameter combination optimization is realized,which is applied to the multi-target allocation of the loitering munition swarms.The clustering knowledge structure and belief set of cultural algorithms are further enriched and optimized,and combined with the multi-objective difference algorithm,the convergence speed of obtaining the global optimal solution is improved.The simulation results show that the coordinated track planned by this method can satisfy the constraint and have a small flight cost.
关 键 词:网络化巡飞弹 协同航迹规划 差分进化算法 文化算法
分 类 号:V249[航空宇航科学与技术—飞行器设计]
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