基于惯性测量单元旋转的带下惯性导航系统精度改进方法:分析综述

Q2 Computer Science Gyroscopy and Navigation Pub Date : 2024-03-23 DOI:10.1134/s2075108724700020
E. V. Dranitsyna, A. I. Sokolov
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引用次数: 0

摘要

摘要 本文对惯性测量单元(IMU)旋转作为提高带式惯性导航系统(SINS)精度的一种方法进行了分析评述。提高精度有两种方法。其中一种是基于使用惯性测量单元自补偿旋转(SCR)时惯性传感器(IS)误差变化规律的转换。本文介绍了选择有效 SCR 法则的标准,以尽量减少 SINS 产生的参数累积误差。除了这项技术的优点之外,还介绍了它的弱点,这些弱点可能会大大限制 IMU 可能达到的精度。另一种技术是在过滤 SINS 误差的同时,增加 IMU 旋转导致的 IS 误差模型成分的可观测性。对 IS 误差模型进行了描述,并阐述了 SINS 误差的递归过滤问题,以便在坐标和运动速度参考数据可用的情况下完善这些误差。介绍了量化 IS 误差模型各组成部分可观测性的方法。
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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Strapdown Inertial Navigation System Accuracy Improvement Methods Based on Inertial Measuring Unit Rotation: Analytical Review

Abstract

The paper presents the analytical review of an inertial measuring unit (IMU) rotation as a method to improve the accuracy of a strapdown inertial navigation system (SINS). There are two ways to improve the accuracy. One of them is based on the transformation of the error change pattern in the inertial sensors (IS) when using the IMU self-compensation rotation (SCR). The criteria for selecting an efficient SCR law to minimize the accumulated error in the parameters generated by SINS are presented. Along with the advantages of this technology, its weak points that may limit significantly the potentially achievable IMU accuracy are described. The other technique consists in increasing the observability of the IS error model components due to the IMU rotation while filtering the SINS errors. The IS error model is described, and the problem of recursive filtering of the SINS errors is stated to refine these errors, with the reference data on coordinates and motion velocity being available. The methods for quantifying the observability of the IS error model components are presented.

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来源期刊
Gyroscopy and Navigation
Gyroscopy and Navigation Computer Science-Computer Science (all)
CiteScore
2.80
自引率
0.00%
发文量
6
期刊介绍: Gyroscopy and Navigation  is an international peer reviewed journal that covers the following subjects: inertial sensors, navigation and orientation systems; global satellite navigation systems; integrated INS/GNSS navigation systems; navigation in GNSS-degraded environments and indoor navigation; gravimetric systems and map-aided navigation; hydroacoustic navigation systems; navigation devices and sensors (logs, echo sounders, magnetic compasses); navigation and sonar data processing algorithms. The journal welcomes manuscripts from all countries in the English or Russian language.
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