基于遗传算法的弹道优化方法应用分析  

Application analysis of trajectory optimization method based on genetic algorithm

作　　者：彭宗尧 鄢青青 柳振民 田波 PENG Zongyao;YAN Qingqing;LIU Zhenmin;TIAN Bo(Unit 63796 of PLA)

机构地区：[1]中国人民解放军63796部队

出　　处：《兵器装备工程学报》2023年第S02期137-141,244,共6页Journal of Ordnance Equipment Engineering

摘　　要：提出了一种基于发射场实际测试结果约束的弹道优化方法,将发射场测试中的推进剂实际加注量及温度、发射方位角等因素作为约束变量,以运载能力最大作为优化目标,采用遗传算法,编制算法软件,以某次飞行为例进行优化计算,结果表明:优化算法计算出的过程变量和入轨根数结果与理论值比对一致性好,优化求解出运载能力最大提高量(约90 kg),此优化方法对发射场工作开展实施具有一定的指导意义。A trajectory optimization method based on the constraints of actual test results at the launch site was proposed.Factors such as the actual propellant filling amount,temperature,and lunch azimuth angle in the lunch site test were used an constraint variables,and the maximum carrying capacity was used as the optimization objective.Genetic algorithm was used to develop algorithm software,and an optimization calculation was conducted using a certain flight as an example.The results showed that the process variables and orbital elements calculated by the optimization algorithm were compared with the theoretical values,Good consistency indicates that the optimization results are correct,and the maximum optimization value of the carrying capacity(about 90kg)is obtained through of optimization.This optimization method has certain guiding significance for the implementation of launch site work.

关 键 词：运载火箭 弹道优化 运载能力 遗传算法 

分 类 号：TJ7[兵器科学与技术—武器系统与运用工程] TP3[自动化与计算机技术—计算机科学与技术]