基于组合优化算法的空面导弹全空域弹道优化  

Trajectory optimization of air-to-surface missile in full airspace based on combinational optimization algorithm

作　　者：祝雯生 吕先敬 侯振乾 张顺家 毕鹏 仲康 ZHU Wensheng;LYU Xianjing;HOU Zhenqian;ZHANG Shunjia;BI Peng;ZHONG Kang(Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China;The Military Representative Bureau of Equipment Department in Shanghai,Shanghai 200030,China)

机构地区：[1]上海机电工程研究所,上海201109 [2]空军装备部驻上海地区军事代表局,上海200030

出　　处：《北京航空航天大学学报》2023年第2期344-352,共9页Journal of Beijing University of Aeronautics and Astronautics

摘　　要：针对空面导弹全空域弹道优化问题,提出基于多岛遗传算法和序列二次规划法的组合优化算法,充分发挥多岛遗传算法对初值不敏感、全局收敛性强及序列二次规划法收敛速度快、精度高等特点。采用代理模型技术,在保证拟合精度的前提下,极大的降低了全空域弹道优化的计算量。算例结果表明:组合优化算法收敛速度较快,可以得到高精度的全局最优解;代理模型拟合精度较高,可以满足工程要求;且优化结果和所建立的代理模型可以为全空域制导律设计提供有力的支撑。To deal with the problem of trajectory optimization for the air-to-surface missile in full airspace,a combinational optimization algorithm based on a multi-island genetic algorithm(MIGA)and sequential quadratic programming(SQP)was proposed.The advantages of being insensitive to initial values and global convergence of MIGA,and rapid convergence and high precision of SQP were developed.With the surrogate model,the computational cost of trajectory optimization in full airspace was greatly reduced on the premise of ensuring fitting precision.The surrogate model significantly lowered the computing cost of trajectory optimization in full airspace under the assumption of fitting precision.Results show that the combinational optimization algorithm had a rapid convergence speed and could obtain a global high-precision solution;the surrogate model had high fitting precision and could satisfy the requirements of engineering;the optimization results and surrogate model could provide an effective way for the design of guidance law in full airspace.

关 键 词：空面导弹 全空域 弹道优化 多岛遗传算法 序列二次规划法 

分 类 号：V448.13[航空宇航科学与技术—飞行器设计]