图像捷联制导输出的弹体视线角信息因耦合有弹体姿态信息而无法直接用于比例导引系统,需要利用相应的解耦及滤波算法实现视线惯性视线重构。而惯性陀螺及导引头固有的刻度尺误差对惯性视线信息提取带来了大的挑战。文中详细分析了刻度尺误差对制导控制系统带来的影响,并提出一种基于无迹卡尔曼滤波算法(UKF)实现的捷联成像系统惯性视线重构算法,可在线快速解耦惯性视线角,提取惯性视线角速率,并辨识导引头刻度尺误差。仿真结果表明,该方法可有效滤除刻度尺误差对惯性制导信息的影响,平滑准确地估计惯性视线角速率,提高制导控制系统稳定性和命中精度。

As one of the most important development direction of low-cost precision guided weapons, image strap-down guidance research attracts a lot of attention. The LOS angular measured by strap-down seeker can be used in proportional guidance system only after decoupling and filtering. However, the inherence scale error of inertial gyro and seeker bring great challenge to the extraction of the inertial LOS information. In this paper, an LOS reconstruction method for strap-down seeker based on unscented Kalman filter (UKF) was proposed, which online decoupled the LOS information and identified the seeker scale factor error meanwhile. Simulation showed that the method can effectively filter the influence of scale error on the system and estimate the inertial Los rate smoothly and accurately. As a result, the stability of the control system was ensured and hit accuracy was improved.