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Unmanned aerial vehicle for transmission line inspection using an extended Kalman filter with colored electromagnetic interference

机译:使用彩色电磁干扰的扩展卡尔曼滤波器进行无人驾驶线路检查

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摘要

Strong electromagnetic fields such as those generated by power stations and transmission lines cause disturbances that affect the on-board sensors of an autonomous unmanned aerial vehicles (AUAVs) and may lead to aircraft instability. To mitigate this effect, we use an extended Kalman filter with colored noise. In addition to the traditional aircraft dynamics, this approach considers the electromagnetic fields of transmission lines and their position, electrical current, and tower topology. In this way, the filter can predict and correct the interference in the aircraft sensors, thereby guaranteeing flight stability even when the AUAV is very close to the electromagnetic sources. This approach enables the AUAV to operate closer to the transformers and transmission lines, thereby paving the way for better autonomous inspection performed by electrical companies and further development of new technologies. To prove the effectiveness of this approach, theoretical and practical results involving a survey of transmission lines are demonstrated. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
机译:强电磁场,如电站和传输线产生的电磁场,导致影响自主无人驾驶车辆(Auavs)的板载传感器的干扰,并且可能导致飞机不稳定性。为了减轻这种效果,我们使用具有彩色噪声的扩展卡尔曼滤波器。除传统的飞机动力学外,这种方法还考虑了传输线的电磁场及其位置,电流和塔拓扑。以这种方式,过滤器可以预测和校正飞机传感器中的干扰,从而能够在Auav非常接近电磁源时保证飞行稳定性。这种方法使得AUAV能够更接近变压器和传输线,从而为电气公司进行更好的自主检查和新技术的进一步发展铺平了途径。为了证明这种方法的有效性,证明了涉及传输线调查的理论和实践结果。 (c)2019 ISA。 elsevier有限公司出版。保留所有权利。

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