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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陀螺仪和加速度计/磁力计部分的优化

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摘要

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:态度和标题参考系统(AHRS)通过熔化来自磁性和惯性测量单元(MIMU)的传感器数据提供方向信息。 MIMU由三个组件组成:陀螺仪,加速度计和磁力计。基本AHRS方法使用加权方法将两个互补组件熔化在一起。第一组分估计来自陀螺仪的相对取向,第二组分提供来自加速度计和磁力计的绝对取向。然而,这两个组件的加权对于获得最佳定向信息至关重要。为了找到最佳重量,遗传算法用于优化任务。通过地面真理获得的结果模拟了具有实际噪声内容的MIMU信号,揭示了欧拉角度的RMSE方向误差(根部均方误差)可以减少3.6系数(最差RMSE = 10.054,获得最佳RMSE = 2.764在GA运行期间)。

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