Journal of Jilin University(Earth Science Edition) ›› 2020, Vol. 50 ›› Issue (1): 252-260.doi: 10.13278/j.cnki.jjuese.20180319

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Attitude Correction of Fixed-Wing Airborne Electromagnetic Coil Based on BP Neural Network

Zhu Kaiguang1,2, Wang Hao1, Peng Cong1, Zhang Qiong1, Fan Tianjiao1, Jing Chunyang1   

  1. 1. College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China;
    2. Key Laboratory of Geo-Exploration Instrumentation, Ministry of Education, Changchun 130026, China
  • Received:2018-12-04 Published:2020-02-11
  • Supported by:
    Supported by National Natural Science Foundation of China(41674108)

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Abstract: During the survey of fixed-wing airborne electromagnetic system, the transmitting and receiving coils are rotated by wind direction, flight bumpy etc., which makes the change of coil attitude,and it,in turn,causes error to receiving electromagnetic responses. Based on Faraday's law of electromagnetic induction, by using the transformation relationship between the coil coordinate system and the system coordinate system, we deduced the formula for calculating electromagnetic response,and concluded that electromagnetic response is composed of two parts:The dynamic response generated by cutting geomagnetic field in the movement process of coil and the static response induced in the sloping coil. We further studied the coil attitude correction algorithm based on BP neural network through the following steps:Firstly, the dynamic response was removed through calculation by using geomagnetic field and coil attitude angle,then BP neural network model was constructed, and the static response was corrected by using of the static response coefficient obtained in the network. The simulation results show that the quality of the corrected electromagnetic response data is greatly improved.

Key words: fixed-wing airborne electromagnetic system, change of coil attitude, BP neural network, correction

CLC Number: 

  • P631
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