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本文从解决火炮随动系统需要的速度信号的滤波问题入手,经过对所研究的动态系统模型的选择,对卡尔曼滤波的简化,对滤波后的位置和速度误差方差与各种参数闻关系的分析、研讨,建立了模型噪声自适应滤波方法。在使用价值上,节省了硬件开销,满足了使用要求。在开发价值上,能满足各口径火炮随动系统对速度信号的要求,并适应于较宽一类动态系统的滤波。
In this paper, we start with solving the filtering problem of the speed signal needed by the artillery servo system. After the selection of the dynamic system model studied, the simplification of the Kalman filter, the variance of the filtered position and velocity error with various parameters Analysis, discussion, established a model noise adaptive filtering method. In the use value, saving hardware costs, to meet the requirements. In the development of value, to meet the caliber artillery servo system on the speed signal requirements, and adapt to a wide range of dynamic system filtering.