转换测量卡尔曼滤波算法在导弹起爆控制技术中的应用研究

Application Research of Converted Measuring Kalman Filter Used in Burst Control Technology of Missile

利用导引头测量信息构建最佳起爆控制算法以实现最佳起爆是导弹战斗部起爆控制技术的一个重要方向。最佳起爆算法包括剩余飞行时间、脱靶量及脱靶方位的估计。为提高估计精度和满足实际应用要求,对导引头测量信息进行滤波至关重要。该文研究了转换测量卡尔曼滤波算法在起爆控制参数估计中的应用,该算法将球坐标系中导弹导引头的测量信息转换到直角坐标系下进行滤波,同时消除了由于坐标转换而引起的偏差。仿真结果表明,该算法的应用有效地提高了起爆控制参数的估计精度。

People can use measuring information provided by guider to establish optimal burst control algorithm in order to realize optimal burst. It is an important direction of burst control technology of missile. The optimal burst algorithm includes the estimation of time-to-go, miss distance and miss angle. In order to improve estimation accuracy and satisfy application request, it is important to filter measuring information provided by guider. The paper studied the application of converted measuring Kalman filter in parameters estimation of burst control. The algorithm filtered the information which was converted from polar coordinates to rectangle coordinates. At the same time, it eliminated the divergence caused by coordinate transform. Simulation results indicate that the application of this algorithm improved the estimation accuracy of burst control.