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Optimization of gyroscope and accelerometer/magnetometer portion of basic attitude and heading reference system

机译:基本姿态和航向参考系统的陀螺仪和加速度计/磁力计部分的优化

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An Attitude and Heading Reference System (AHRS) provides orientation information by fusing sensor data from a magnetic and inertial measurement unit (MIMU). A MIMU consists of three components: gyroscope, accelerometer and magnetometer. A basic AHRS approach fuses two complementary components together using a weighted approach. The first component estimates the relative orientation from the gyroscope, and the second component provides the absolute orientation from the accelerometer and the magnetometer. However, the weighting of these two components is critical to obtain the best orientation information. In order to find the optimal weight a genetic algorithm is used for the optimization task. Results obtained via ground-truth simulated MIMU signals with real noise content reveal that the RMSE orientation error (root means squared error) of the Euler angles in degrees can be reduced by a factor of 3.6 (worst RMSE = 10.054 and best RMSE = 2.764 obtained during a GA run).
机译:姿态和航向参考系统(AHRS)通过融合来自磁和惯性测量单元(MIMU)的传感器数据来提供方向信息。 MIMU由三部分组成:陀螺仪,加速度计和磁力计。基本的AHRS方法使用加权方法将两个互补组件融合在一起。第一部分从陀螺仪估计相对方向,第二部分从加速度计和磁力计提供绝对方向。但是,这两个分量的权重对于获得最佳方向信息至关重要。为了找到最佳权重,将遗传算法用于优化任务。通过具有真实噪声含量的真实地面模拟MIMU信号获得的结果表明,以度为单位的欧拉角的RMSE定向误差(均方根误差)可以减小3.6倍(最差的RMSE = 10.054和获得的最佳RMSE = 2.764在Google Analytics(分析)运行期间)。

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