惯性平台的实时自校准

为了鉴定导弹的精度和提高导弹的精度,都需要准确地适时地测得惯性平台的各项工具误差,即进行平台的校准。平台利用自身的硬件条件进行发射前实时、自主的校准,具有许多特有的优点。采用卡尔曼滤波方法实现这一校准过程可以在精度和速度上同时取得较满意的效果。本文针对一个具体的三轴平台设计了一种用卡尔曼滤波估计各主要误差的过程。仿真计算表明了方法的可行性。在给定现实条件的基础上,所得估计精度能满足系统的要求。

REAL-TIME SELF-CALIBRATION OF INERTIAL PLATFORM

For evaluating and enhancing the accuracy of missiles, real-time and exact measurements of all instrumental errors of inertial platform is necessary. Many inherent advantages exist in utilizing the hardware conditions of platform itself to proceed real-time and self-contained calibration before launching. A relative satisfied results can be obtained in both accuracy and speed by Kalman filter method to implement the calibration process, This paper uses Kalman filter to evaluate the main errors of a particular three axes platform. The results of simulation calculation show that this method is feasible.