A fast in-motion alignment based on inertial frame and reverse navigation

Bo Xu, Lianzhao Wang, Tenghui Duan, Kunming Jin, Jiao Zhang
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引用次数: 1

Abstract

Higher alignment accuracy and faster alignment speed are crucial for the whole navigation system. The popular in-motion alignment methods for strapdown inertial navigation system (SINS) are estimation the navigation state error by kalman filter (KF), however, it takes a long time to converge and can't work with large misalignment angle condition. In the paper, a fast alignment method on moving base aided by the speed of b-frame is proposed. First, based on the specific force equation and attitude matrix decomposition, a velocity assisted attitude determination method is derived; Second, a second time alignment scheme is proposed to improve the alignment accuracy by compensating the items, which are omitted in first time alignment; Third, the initial attitude is obtained by reverse navigation using stored data of inertial measurement unit (IMU), and the position information is estimated. At the same time, the omitted items are compensated in second time alignment. Finally, the second time alignment is verified by the simulation and semi-physical simulation. In the sea test, the yaw error is 0.7° in first time alignment and it is reduced to −0.02° in second time alignment within 10 minutes, and accurate position can be provided after alignment.
基于惯性系和反向导航的快速运动对准
更高的对准精度和更快的对准速度对整个导航系统至关重要。捷联惯导系统常用的运动对准方法是利用卡尔曼滤波(KF)估计导航状态误差,但该方法收敛时间长,且不适合大的不对准角条件。本文提出了一种利用b-框架速度辅助的运动基座快速对准方法。首先,基于比力方程和姿态矩阵分解,推导了一种速度辅助姿态确定方法;其次,提出了一种二次对准方案,通过补偿第一次对准时遗漏的项目来提高对准精度;第三,利用惯性测量单元(IMU)存储的数据进行反向导航,获得初始姿态,并对位置信息进行估计;同时,在二次对准中对遗漏的项目进行补偿。最后,通过仿真和半物理仿真验证了二次对准的正确性。在海试中,首次对准偏航误差为0.7°,第二次对准偏航误差在10分钟内降至- 0.02°,对准后可提供准确定位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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