遗传算法在捷联惯导系统初始对准中的应用研究

Application of Genetic Algorithm in Initial Alignment of Strapdown Inertial Guidance System

针对捷联惯导系统初始对准的精度问题,提出了在粗对准的基础上采用遗传算法进行精对准的方法,结合初始对准的特点及要求,适当选择遗传算法的主要操作进行了仿真,并与卡尔曼滤波的结果进行了比较。通过对仿真结果的分析表明:遗传算法的全局搜索能力强、速度快,应用于导弹的初始对准可以提高导弹的快速反应能力,但由于其局部搜索能力较弱,针对性不强,因此可以与其它具有优良局部寻优能力和针对性较强的算法搭配使用以达到整个系统的最优。

In order to improve the precision of initial alignment of strapdown inertial guidance system, extractive alignment method was presented by using genetic algorithm on the basis of rough alignment. The main manipulations of the algorithm were carefully selected for simulation according to the characteristics of initial alignment, and the simulation results were compared with the results from Kalman filtering. The comparative results show that the global searching ability of genetic algorithm used for initial missile alignment can greatly speed up the process to make the missile system react quickly to various situations, but the limit of its local searching ability makes the algorithm less effective in some phases, thus it should be used together with some other algorithms with excellent local searching ability in order to optimize the whole system.