Research on the Quadrotor of AHRS Based on Gradient Descent Algorithm

Feng Lin, Liuzeng He
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引用次数: 2

Abstract

It is the focus of research on the navigation algorithm with high-accurated and easy-achieved for UAV. In this paper a gradient descent algorithm for AHRS of Quadrotor by using MEMS gyro, accelerometer, and magnetometer is presented. The algorithm uses a quaternion represent rotation, allowing accelerometer and magnetometer data to be used in an analytically derived and optimised gradient descent algorithm to compute the direction of the gyroscope measurement error as a quaternion derivative. Through the simulation based on Matlab software, the algorithm can significantly reduces the requirement for the processor of speed and precision, effectively fusing the data of the MEMS sensor, and achieves the high-accurated attitude calculation of Quadrotor.
基于梯度下降算法的AHRS四旋翼飞行器研究
高精度、易实现的无人机导航算法是目前研究的热点。提出了一种基于MEMS陀螺、加速度计和磁强计的四旋翼AHRS梯度下降算法。该算法使用四元数表示旋转,允许加速度计和磁力计数据用于解析推导和优化的梯度下降算法,以计算陀螺仪测量误差的方向作为四元数导数。通过基于Matlab软件的仿真,该算法可以显著降低处理器对速度和精度的要求,有效融合MEMS传感器的数据,实现四旋翼飞行器的高精度姿态计算。
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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