Assessment research on optimizing the effectiveness of magnetic stealth for prolate spheroidal hulls with uniaxial degaussing coils
210 viewsDOI:
https://doi.org/10.54939/1859-1043.j.mst.81.2022.69-78Keywords:
Magnetic Signature; Magnetic Anomaly; Degaussing Coil; Optimization Algorithm; Sqp Algorithm.Abstract
When operating for a long time at sea, military ships face many dangers due to variations in the magnetic fields around the ship, making the ship capable of being "visible" by the enemy's magnetic anomaly detection devices, even detonating magnetic-inductive mines and mines at the bottom of the sea. Therefore, the need to silencing magnetic anomalies for military ships is the most important requirement. This research presents a demagnetization solution using uniaxial demagnetizing coils to optimize magnetic field degausing for a prolate spheroidal hull at positions below the hull bottom. The authors used mathematical models of the hull and coils to establish the cost function of the problem, concurrent used the SQP optimization algorithm to minimize this cost function with the variable being the degausing current supplied to each coil. The research obtained magnetic anomaly reduction levels for a prolate spheroidal hull, corresponding to 4 scenarios for different number of coils, results contribute to narrowing the feasible solution space and quickly approaching the optimal solutions of the problem with real military ships.
References
[1]. J. J. Holmes, “Exploitation of a Ship’s Magnetic Field Signatures”, vol. 3, no. 1 (2008). DOI: https://doi.org/10.1007/978-3-031-01708-7_1
[2]. Trịnh Đình Cường, Đỗ Đình Dương, Vũ Lê Hà, Đỗ Thị Hương Giang, Phùng Anh Tuấn, “Nghiên cứu xác định dấu vết từ trường của một số mô hình vỏ tàu sắt từ”, Tạp chí Nghiên cứu Khoa học và Công nghệ quân sự, số 68, pp 80-88, (2020). DOI: https://doi.org/10.54939/1859-1043.j.mst.68.2020.80-88
[3]. Mahdi Che Isa, "An overview of ship magnetic signature and silencing technologies", Defence S and T Technical Bulletin vol 12, pp 176-192, (2019).
[4]. J. J. Holmes, “Reduction of a Ship’s Magnetic Field Signatures”, Synth. Lect. Comput. Electromagn, vol. 3, no. 1, pp. 1–68, Jan., (2008). DOI: https://doi.org/10.1007/978-3-031-01708-7
[5]. A. Vijn, “Inverse Modeling for Magnetic Signature Monitoring of Naval Ships,” Delft Institute of Applied Mathematics, January, (2016).
[6]. S. M. Makouie and A. Ghorbani, “Comparison between genetic and particle swarm optimization algorithms in optimizing ships’ degaussing coil currents”, Appl. Comput. Electromagn. Soc. J., vol. 31, no. 5, pp. 516–523, (2016).
[7]. Hongda, L, Zhongli, M. “Optimization of vessel degaussing system based on poly-population particle swarm algorithm”, Proceedings of the 2007 IEEE International Conference on Mechatronics and Automation, pp 3133–3137, (2007).
[8]. Sharma, N., & Narang, K, “Magnetic Silencing of Naval Vessels Using Ridge Regression”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol 5, issue V, pp. 756–760, (2017).
[9]. Jeung, G., Choi, N. S., Yang, C. S., Chung, H. J., & Kim, D. H, “Indirect fault detection method for an onboard degaussing coil system exploiting underwater magnetic signals”, Journal of Magnetics, vol 19, issue 1, pp. 72–77, (2014). DOI: https://doi.org/10.4283/JMAG.2014.19.1.072
[10]. Li, G., Zhang, D., Su, Y., Wang, Z., & Tang, W, “Research on Optimization of Degaussing Current of Submarine Based on Improved Cuckoo Algorithm”, Proceedings - 2020 Chinese Automation Congress, pp. 4595–4599, (2020). DOI: https://doi.org/10.1109/CAC51589.2020.9327094
[11]. J. J. Holmes, “Modeling a Ship’s Ferromagnetic Signatures”, vol. 2, no. 1. (2007). DOI: https://doi.org/10.2200/S00092ED1V01Y200706CEM016
[12]. S. Hampton, R. A. Lane, R. M. Hedlof, R. E. Phillips, and C. A. Ordonez, “Closed-form expressions for the magnetic fields of rectangular and circular finite-length solenoids and current loops”, AIP Adv., vol.10, no. 6, (2020). DOI: https://doi.org/10.1063/5.0010982
[13]. Xin-She Yang, “Engineering Optimization: An Introduction with Metaheuristic Applications”, John Wiley & Sons Inc, (2018).
[14]. Boggs, P. T., & Tolle, J. W. “Sequential Quadratic Programming”. Acta Numerica, vol 4, pp. 01–51, (1995). DOI: https://doi.org/10.1017/S0962492900002518
