An effective unscented Kalman filter for state estimation of a gyro-free inertial measurement unit

Chaojun Liu, Shuai Yu, Shengzhi Zhang, Xuebing Yuan, Sheng Liu
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引用次数: 7

Abstract

This study reports a gyro-free inertial measurement unit (IMU) using solely four triaxial accelerometers. System equations and a configuration which is feasible for the gyro-free IMU design are presented. The propagation of accelerometer measurement errors is analyzed. An unscented Kalman filter (UKF) is proposed for state estimation. Simulation results show that the system state is robustly estimated by the proposed UKF. Furthermore, compared with the results of error analysis, the UKF provides effective error reductions on state estimation. The error of angular velocity estimation over full scale (FS) is about ±0.4%FS.
一种用于无陀螺惯性测量单元状态估计的无气味卡尔曼滤波器
本研究报告了一种仅使用四个三轴加速度计的无陀螺惯性测量单元(IMU)。给出了可行的无陀螺IMU设计的系统方程和结构。分析了加速度计测量误差的传播规律。提出了一种无气味卡尔曼滤波器(UKF)用于状态估计。仿真结果表明,所提出的UKF能对系统状态进行鲁棒估计。此外,与误差分析结果相比,UKF在状态估计上提供了有效的误差减小。满量程(FS)上的角速度估计误差约为±0.4%FS。
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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