摘要
推导了考虑自动驾驶仪二阶动力学和目标机动的最优制导律,建立了基于捷联导引头的制导系统模型.根据所建模型,提出了一种利用卡尔曼滤波估计形成最优制导指令所需状态量来实现最优制导律的方案,并进行了仿真分析.仿真结果表明:卡尔曼滤波器可以准确快速地估计形成最优制导指令所需的状态量;采用最优制导律的导弹在制导过程中最大实际过载和制导末端过载都比采用比例导引的导弹小,采用最优制导律的导弹比采用比例导引的位置误差小.
Considering second - order dynamics of the autopilot and maneuvering target, an optimal gulctance law was derived and related guidance model was established. According to the model, a scheme to implement an optimal guidance law was devised that estimates the state variables required by optimal guidance commands with Kalman filter. Simulation results show that maximum actual overload, terminal guidance overload and position error of the missile based on optimal guidance law is smaller than that of the missile based on the proportional navigation guidance.
出处
《测试技术学报》
2012年第4期324-331,共8页
Journal of Test and Measurement Technology
关键词
最优制导
捷联导引头
卡尔曼滤波
状态估计
比例导引
optimal guidance
strapdown seeker
kalman filter
state estimation
proportional navigation
