基于卡尔曼滤波器的半捷联导引头控制系统设计

Control System Design Based on Kalman Filter for Semi-Strapdown Seeker

分析了滚仰式半捷联导引头控制系统原理,给出了导引头的状态方程与量测方程,提出了一种基于目标运动状态估计的卡尔曼滤波方法并将其应用于导引头控制;建立了滚仰式半捷联导引头控制仿真模型。仿真结果表明:提出的基于目标运动状态估计的卡尔曼滤波方法对导引头控制干扰和测量噪声具有良好的滤波作用,有效提高了导引头控制系统的鲁棒性,能够使导引头在控制干扰和噪声作用下保持对运动目标的稳定跟踪,为滚仰式半捷联导引头控制系统设计提供参考。

The control principle of the roll-pitch semi-strapdown seeker were analyzed. The state equation and measurement equation of the seeker were provided. The kalman filter method based on the estimation of target motion state was proposed and applied to the control of the seeker. The control simulation model of the roll-pitch semi-strapdown seeker was established. As shown in the simulation result, the kalman filter method based on the estimation of target motion state has a good filtering effect on control interference and measurement noise for the seeker. The robustness of the seeker control system was effectively improved. The kalman filter method based on the estimation of target motion state not only can achieve the continuous and stable tracking of moving target under the action of interference and noise, but also can bring good reference to the control system design for the seeker.