半捷联图像寻的制导系统导引信息构造方法

The Guidance Information Reconstruction of Semi-strapdown Imaging Seeker Guidance System

半捷联导引头的动力学数学模型非线性比较严重,EKF(Extended Kalman Filter)滤波不能满足高精度制导要求。本文采用UKF(Uncented Kalman Filter)滤波方法对框架角速率进行估计,同时结合弹上IMU测量得到的弹体角速率信息以及图像探测器处理得到的目标在像平面上的位置信息,构造导弹的准比例导引信息。通过仿真对比了基于EKF和UKF的框架角速度滤波估计精度,进行了基于UKF的导弹三维飞行仿真。结果表明,基于UKF滤波方法所构造的制导信息精度较高,能够满足导弹精确打击需求。

As the semi-strapdown seeker＇s dynamics is seriously nonlinear, EKF （Extended Kalman Filter） for guidance information reconstruction can not meet the requirements of high accuracy guidance. This paper uses UKF （Uncented Kalman Filter） to estimate the gimbal angular rate, and at the same time, the quasi-proportional guidance information was reconstructed by combining missile attitude rate coming from IMU with the target position information coming from seeker＇s imaging plane. The paper finally makes a three-dimentional practical simulation of the missile based on UKF, and compares the gimbal angular rate estimation accuracy of EKF with that of UKF. Simulation results shows that the reconstructuion accuracy of the guidacne information via UKF is better, which can guide the missile to precisely attack the target.