A novel approach for attitude estimation using MEMS inertial sensors

Zheming Wu, Zhenguo Sun, Wenzeng Zhang, Qiang Chen
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引用次数: 6

Abstract

In this paper a new method for attitude estimation using low-cost MEMS inertial sensors is developed, in order to obtain accurate attitude parameters when other external sensors such as magnetometer and GPS are limited in operation. The method is based on specific rotation of the inertial measurement unit independent from rigid body motion. An algorithm is developed by incorporating a nonlinear observer in order to fusing measurements from both the gyroscope and the accelerometers. The algorithm provides bias estimation of the gyroscope and better estimation results. Experiments validate the effectiveness of the proposed method.
一种基于MEMS惯性传感器的姿态估计新方法
本文提出了一种利用低成本的MEMS惯性传感器进行姿态估计的新方法,以便在磁力计和GPS等外部传感器工作受限的情况下获得准确的姿态参数。该方法基于独立于刚体运动的惯性测量单元的比旋转。为了融合陀螺仪和加速度计的测量结果,提出了一种引入非线性观测器的算法。该算法提供了陀螺仪的偏置估计和较好的估计结果。实验验证了该方法的有效性。
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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