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Optimization simulation of aeromagnetic detection based on COMSOL multiphysics
Author(s): Xiaoyong Sun; Shaojing Su; Xiaojun Guo; Yangyi Chen
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Paper Abstract

For the high cost of practicality experiments and the low precision of available model data cause the deficiently of the effectiveness of the aeromagnetic detection result, a magnetic field simulation method of submarine aircraft model is proposed based on COMSOL Multiphysics finite element software. First, the submarine is equivalent to the hollow cylinder model, and the magnetic field distribution of the distance of 5 times the length of the submarine is received through the simulation. Then the aircraft geometrical model is established to analyze the mechanism of aircraft jamming magnetic field, and the four-way flight scheme of compensation flight state is proposed to get magnetic field simulation data. For the simulation difficulties of large-scale model in the detection flight state, a simulation method of model separation and data superposition is proposed to get the component and the total data of magnetic field. Finally, the aircraft interference magnetic field modeling and the use of ridge estimation method to compensate for compensation flight and detection flight magnetic field data. Four-course flight data compensation accuracy within 0.5nT and detection flight data after compensation can be distinguished the submarine signal. The correctness of the finite element simulation method and the magnetic field data is verified, which is of great significance to the study of aeromagnetic deection simulation.

Paper Details

Date Published: 31 August 2018
PDF: 10 pages
Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083515 (31 August 2018); doi: 10.1117/12.2504320
Show Author Affiliations
Xiaoyong Sun, National Univ. of Defense Technology (China)
Shaojing Su, National Univ. of Defense Technology (China)
Xiaojun Guo, National Univ. of Defense Technology (China)
Yangyi Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10835:
Global Intelligence Industry Conference (GIIC 2018)
Yueguang Lv, Editor(s)

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