Magnetic interference testing method for an electric fixed-wing unmanned aircraft system (UAS)

One of the barriers preventing unmanned aircraft systems (UASs) from having a larger presence in the geophysical magnetic surveying industry is the magnetic interference generated by the UAS and its impact on the quality of the recorded data. Detailed characterization of interference effects is therefore needed before remedial solutions can be proposed. A method for characterizing magnetic interference is demonstrated for a 21 kg, 3.7 m wingspan, 6 kW electric fixed-wing UAS purposely built for magnetic surveying. It involves mapping the spatial variations of the total magnetic intensity resulting from the interference sources on the UAS. Dynamic tests showed that the motor should be engaged and the aircraft control surfaces levelled prior to mapping. Experimental results reveal that the two strongest sources of magnetic interference are the cables connecting the motor to the batteries, and the servos. Combining three factors to assess the level of magnetic interference — the total magnetic intensity, 4th...

[1]  M Coyle,et al.  Geological Survey of Canada aeromagnetic surveys: design, quality assurance, and data dissemination , 2014 .

[2]  M. Funaki,et al.  Outline of a small unmanned aerial vehicle (Ant-Plane) designed for Antarctic research , 2008 .

[3]  M. Cunningham Aeromagnetic Surveying with Unmanned Aircraft Systems , 2016 .

[4]  M. Takeo,et al.  Low-altitude remote sensing of volcanoes using an unmanned autonomous helicopter: an example of aeromagnetic observation at Izu-Oshima volcano, Japan , 2011 .

[5]  Alexander Braun,et al.  UAV magnetometry for chromite exploration in the Samail ophiolite sequence, Oman , 2017 .

[6]  Hong Guo,et al.  An Aeromagnetic Compensation Coefficient-Estimating Method Robust to Geomagnetic Gradient , 2016, IEEE Geoscience and Remote Sensing Letters.

[7]  V. Jelínek Characterization of the magnetic fabric of rocks , 1981 .

[8]  Gerardo Noriega,et al.  Aeromagnetic Compensation in Gradiometry—Performance, Model Stability, and Robustness , 2015, IEEE Geoscience and Remote Sensing Letters.

[9]  Takayuki Kaneko,et al.  An aeromagnetic survey of Shinmoe-dake volcano, Kirishima, Japan, after the 2011 eruption using an unmanned autonomous helicopter , 2013, Earth, Planets and Space.

[10]  D. Lefebvre,et al.  Guide To Aeromagnetic Specifications and Contracts , 1991 .

[11]  T. Hashimoto,et al.  Aeromagnetic survey using an unmanned autonomous helicopter over Tarumae Volcano, northern Japan , 2014 .

[12]  Mojtaba Ahmadi,et al.  Magnetic Signature Attenuation of an Unmanned Aircraft System for Aeromagnetic Survey , 2014, IEEE/ASME Transactions on Mechatronics.

[13]  C. Eck,et al.  AERIAL MAGNETIC SENSING WITH AN UAV HELICOPTER , 2012 .

[14]  Claire Samson,et al.  Experimental aeromagnetic survey using an unmanned air system , 2016 .

[15]  Hong Guo,et al.  An Adaptive Filter for Aeromagnetic Compensation Based on Wavelet Multiresolution Analysis , 2016, IEEE Geoscience and Remote Sensing Letters.

[16]  Ross Johnson,et al.  Development of autonomous magnetometer rotorcraft for wide area assessment , 2010 .

[17]  K. Parvar Development and Evaluation of Unmanned Aerial Vehicle (UAV) Magnetometry Systems , 2016 .

[18]  Mehrdad Bastani,et al.  The potential of rotary-wing UAV-based magnetic surveys for mineral exploration: A case study from central Sweden , 2017 .

[19]  Naohiko Hirasawa,et al.  Small unmanned aerial vehicles for aeromagnetic surveys and their flights in the South Shetland Islands, Antarctica , 2014 .

[20]  M. Wells,et al.  Attenuating magnetic interference in a UAV system , 2008 .