Integration of MEMS Inertial and Magnetic Field Sensors for Tracking Power Lines

O. Sushchenko, Y. Bezkorovainyi, V. Golitsyn, N. Kuzmenko, Y. Averyanova, M. Zaliskyi, I. Ostroumov, Vitaliy Larin, O. Solomentsev
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引用次数: 3

Abstract

The paper deals with modification of operating algorithm of autonomous attitude and heading reference systems based on integration of MEMS inertial sensors and magnetometers for functioning in conditions of intensive electromagnetic disturbances. The algorithm of using signals caused by influence of the external source of electromagnetic disturbance for creating the local system of the drone’s orientation and navigation is proposed. Based on the experimental data, the possibility of realization of such a system is shown.
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用于电力线跟踪的MEMS惯性和磁场传感器集成
本文研究了基于MEMS惯性传感器和磁强计集成的自主姿态和航向参考系统运行算法的改进,以适应强电磁干扰条件下的工作。提出了利用外部电磁干扰源影响产生的信号建立无人机定位导航局部系统的算法。根据实验数据,说明了该系统实现的可能性。
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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