Observability Analysis of a Miniature Inertial Measurement Unit on a Continuous Rotating Base

Haifeng Xing, Zhiyong Chen, Xinxi Zhang, Meifeng Guo
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Abstract

Continuous rotation (“carouseling”) can effectively suppress the influence of inertial sensor errors so that miniature inertial measurement units (MIMUs) can achieve north-seeking applications, which has been recently studied. However, there is a lack of observability analyses for MIMUs. Whether the state is observable or not is closely related to whether Kalman filtering can accurately estimate the error state. In this paper, the observability of MIMUs on a continuously rotating base is analyzed on the basis of simulation and collected real data. The results show that MIMUs cannot realize self-alignment because of their large heading errors in the static state. Kalman filtering can estimate the heading angle effectively in a short time by rotating continuously around the z-axis, and it can estimate the z-axis accelerometer bias quickly, as well as the z-axis gyro drift after a period of time. However, it is impossible to estimate the gyro drift and accelerometer bias in the horizontal plane because the horizontal modulated inertial sensor errors that are integrated over time will suppress the effect of errors. Additionally, the horizontal errors can be solved by the north-seeking algorithm. This study provides a method and a theoretical basis for analyzing the observability of MIMUs and evaluating their performance.
连续旋转基座上微型惯性测量单元的可观测性分析
连续旋转(“carouseling”)可以有效地抑制惯性传感器误差的影响,使微型惯性测量单元(mimu)实现寻北应用,这是近年来研究的热点。然而,缺乏对mimu的可观察性分析。状态是否可观测与卡尔曼滤波能否准确估计误差状态密切相关。本文在仿真和采集实际数据的基础上,对连续旋转基座上多机动机动车辆的可观测性进行了分析。结果表明,在静态状态下,mimu的航向误差较大,无法实现自对准。卡尔曼滤波可以通过绕z轴连续旋转在短时间内有效估计航向角,并且可以快速估计z轴加速度计偏差,以及一段时间后的z轴陀螺漂移。然而,由于水平调制惯性传感器误差随时间的累积会抑制误差的影响,因此不可能估计陀螺漂移和加速度计在水平平面上的偏差。此外,水平误差可以通过寻北算法求解。该研究为mimu的可观测性分析和性能评价提供了方法和理论依据。
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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