机载火控系统动态精度建模与稳定性研究

Study on Dynamic Precision Model and Stability of Airborne Fire Control System

机载火控系统精度试验后获得的射击诸元误差序列通常为非平稳的随机过程,其稳定性与误差模型都是未知的,根据此数据序列的误差特性,对于机载火控系统动态精度试验所获得的数据,利用时间序列模型的有关理论,建立动态误差数据序列的AR模型,并且对获得的误差模型通过计算其特征方程的特征根分布来判断系统的稳定性。通过对某型机载光电火控系统的半物理仿真试验数据的分析建模,验证了本方法的有效性。

The fire data error series from accuracy test of the airborne fire control system is generally a non-stationary random process. The stability and error model are usually undiscovered. According to he error property, the auto regression model of the error data serial was built based on the accuracy test data series using the theory of time serial model. The character function of AR model and the character root of the function were introduced to evaluate the fire control system stability. The validity of the model was showed by a half-physics test data of an airborne optical-electronic fire control system.