一种提高光纤旋转系统导航精度的扰动基座对准技术

光纤旋转系统的安装误差、标度因数误差等误差参数会随着时间而改变,而惯性器件误差是导航过程中误差的主要来源,因此在系统自对准的同时对关键误差参数进行标定能够提高系统的导航性能。为了在不显著增加光纤旋转系统准备时间的条件下,结合光纤旋转系统特点,提高旋转系统的导航精度,将对光纤旋转系统扰动基座下的自对准技术进行研究。提出了一种优化改进的旋转路径和自标定自对准流程,并对旋转路径进行了可观度分析,在该旋转路径下采用了Kalman滤波算法对陀螺的安装误差、陀螺标度因数误差、加表零偏进行估计并补偿。仿真与系统试验结果表明,采用该方案后,系统速度误差有明显降低。

Self-alignment Technology for Improving the Navigation Accuracy of Optical Fiber Rotating System on Disturbing Base

The installation error and scale factor error of the optical fiber rotating system change with time and the parameter errors are the main error source in navigation process. Therefore, the oscillation amplitude of the system velocity error can be reduced by self-alignment and self-calibration of the key parameters of the system. In order to improve the navigation accuracy and alignment performance of the optical fiber rotating system without significantly increasing the preparation time of the fiber rotating system, an improved rotation strategy and calibration alignment process are proposed with the characteristics of optical fiber rotating system, and observability analysis is carried out. The Kalman filtering algorithm is used to estimate and compensate the gyro scale factor, gyro installation error and accelerometer bias. The results of simulation and the system experiment show that the magnitude of system velocity error is obviously reduced after self-calibration and self-alignment simultaneously.