摘要
针对光电稳定平台中由于陀螺仪测量值漂移等导致解算姿态角的累积误差问题,结合导航系统中常用的传递对准技术,提出了一种简化的卡尔曼滤波算法。利用主惯导数据,将光电平台中解算的姿态数据进行校正。仿真及实验结果显示,分别应用基于姿态匹配的重调法和滤波法时,根据陀螺仪解算的姿态角数据在系统运行超过2h后均能保持稳定,且有较高精度,可用于视轴稳定控制。
Concerning the accumulated error problem caused by measurement drift of the optical fiber gyro used in an optoelectronic stabilized platform,a simplified form of Kalman filter algorithm based on transfer alignment technology is proposed.The algorithm using data from the major IMU corrects the attitude data resolved in OE platform.Simulated and experimental results show that,two correction methods based on attitude matching are both effective,and the resolved data can keep high accuracy and stability even when the gyro worked for more than two hours.The corrected data can be used in an LOS stabilization control application.
出处
《光学与光电技术》
2016年第5期84-88,共5页
Optics & Optoelectronic Technology
基金
海军预研(4010101030202)资助项目