基于遗传算法的反导拦截弹助推段自动驾驶仪的设计  

Boost Phase Autopilot Design of Anti-missile Interceptor Using Genetic Algorithm

作　　者：堵会晓[1] 黄靓[1] 

机构地区：[1]平顶山工业职业技术学院,河南平顶山467001

出　　处：《火力与指挥控制》2014年第11期157-159,163,共4页Fire Control & Command Control

摘　　要：针对反导拦截弹助推段一般不进行大机动飞行、弹道相对平直的特点,基于小扰动线性化方程,设计了由阻尼回路、攻角回路和过载回路组成的三回路自动驾驶仪。在理想弹道计算的基础上选取特征点,在每个特征点处将弹体简化为二阶环节来近似。针对待优化参数多、且处于不同控制回路的特点,采用遗传算法对控制器参数进行优化。仿真结果证明所设计的控制器能够很好地跟踪指令信号。The anti-missile interceptor usually does not execute large overall maneuvering flight, and the trajectory is flat in the boost phase. The small disturbance linearized equations are used to design the three-loop autopilot,including the damping loop,the angle of attack loop,and the overload loop. Characteristic points are chosen based on ideal trajectory. The missile model is simplified as a second order one on each characteristic point. Since lots of parametes in different control loops are to be optimized,it is difficult to use the general optimization method. Here we use genetic algorighm to optimize the controller parameters. The simulation results show that the proposed scheme can track the command signals exactly.

关 键 词：反导拦截弹 遗传算法 自动驾驶仪 

分 类 号：TJ761.7[兵器科学与技术—武器系统与运用工程]