基于改进遗传算法的制导工具误差分离与折合研究

Error Separation and Conversion of Guidance Tool Based on Improved Genetic Algorithm

导弹武器的制导工具误差分离与折合是命中精度评估的重要研究内容。首先结合捷联惯性导航系统的工作原理,提出利用实数遗传算法实现误差分离与折合,并给出具体实施步骤;而后针对遗传算法在解决误差分离问题时寻优慢、易陷入局部最优等问题,利用相应策略对遗传算法进行改进,设置交叉概率和变异概率的调节机制,同时利用精英保留策略,有效提升了误差分离及弹道折合的精度;最后利用某仿真弹道进行验证,结果表明,与传统遗传算法相比,改进遗传算法的收敛速度更快,分离精度更高,折合至全程弹道所得的遥外测速度差更接近真值。

Error separation and conversion of the missile weapon’s guidance tools are important research contents of hit accuracy evaluation.Firstly,by adopting the working principle of Strapdown Inertial Navigation System(SINS),a real number genetic algorithm is proposed to realize error separation and conversion,and specific implementation steps are given.Then,in order to solve the problems of slow optimization and easily falling into local optimum during error separation,the corresponding strategy is used to improve the genetic algorithm,the mechanism for adjustment of cross probability and mutation probability is set up,and the elite retention strategy is used to effectively improve the accuracy of error separation and ballistic conversion.Finally,a simulated trajectory is used to verify the method.The results show that,compared with the traditional genetic algorithm,the improved genetic algorithm has faster convergence and higher separation accuracy,and the velocity difference between telemeasuring data and measurement data converted to the full trajectory is closer to the true value.