Researching assessment on magnetic anomaly effectiveness results for prolate spheroidal hulls by optimization algorithms

150 views

Authors

  • Trinh Dinh Cuong Institute of Electronics, Academy of Military Science and Technology
  • Vu Le Ha Institute of Electronics, Academy of Military Science and Technology
  • Phung Anh Tuan (Corresponding Author) School of Electrical Engineering, Hanoi University of Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.82.2022.30-39

Keywords:

Degaussing Coil; Optimization Algorithm; Active-set Algorithm; Sqp Algorithm; Interior-Point Algorithm.

Abstract

This research presents the results of minimizing the magnetic anomaly of a prolate spherical hull using 3 optimization algorithms Active-set, SQP and Interior-Point in Matlab, to optimize the effect of magnetic field compensation by degaussing coils. The authors approaches the degaussing problem by mathematical models of prolate spherical hulls and each internal degaussing coil, then uses 3 optimization algorithms to minimize the cost function of the problem. The optimal results of the 3 optimization algorithms are compared and evaluated qualitatively in the form of graph observations and quantitatively in the form of RMSE value of residual magnetic anomaly and RMS value of original magnetic anomaly. head. The objective of this research is to make comments and evaluate the minimization results by 3 different optimization algorithms, thereby proposing the selection of the optimal algorithm suitable for the equivalent hull model.

References

[1]. 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

[2]. J. J. Holmes, “Modeling a Ship’s Ferromagnetic Signatures”, vol. 2, no. 1. 2007. DOI: https://doi.org/10.2200/S00092ED1V01Y200706CEM016

[3]. J. J. Holmes, “Reduction of a Ship’s Magnetic Field Signatures”, Synth. Lect. Comput. Electromagn, vol. 3, no. 1, pp. 1–68, (2008). DOI: https://doi.org/10.2200/S00150ED1V01Y200809CEM023

[4]. J. J. Holmes, “Exploitation of a Ship’s Magnetic Field Signatures”, vol. 3, no. 1. (2008).

[5]. 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).

[6]. 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

[7]. Elizabeth Wong, “Active-Set Methods for Quadratic Programming”, Doctor of Philosophy, University of California, San Diego, pp 01-11, (2011).

[8]. Schittkowski, K, “An active set strategy for solving optimization problems with up to 200,000,000 nonlinear constraints”, Applied Numerical Mathematics, vol 59, issue 12, pp 2999–3007, (2009). DOI: https://doi.org/10.1016/j.apnum.2009.07.009

[9]. 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).

[10]. 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

[11]. 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).

[12]. 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

[13]. Xin-She Yang, “Engineering Optimization: An Introduction with Metaheuristic Applications”, John Wiley & Sons Inc, (2018).

[14]. Gondzio, J, “Interior point methods 25 years later”, European Journal of Operational Research, vol 218, issue 3, pp.587–601, (2012). DOI: https://doi.org/10.1016/j.ejor.2011.09.017

[15]. Richard H. Byrd, Mary E. Hribar, and J. N, “An Interior Point Algorithm for Large-Scale Nonlinear Programming”. SIAM Journal on Scientific Computing, vol 9, issue 4, pp. 877–900, (1999). DOI: https://doi.org/10.1137/S1052623497325107

[16]. Boggs, P. T., & Tolle, J. W. “Sequential Quadratic Programming”. Acta Numerica, vol 4, pp. 01–51, (1995). DOI: https://doi.org/10.1017/S0962492900002518

[17]. Richard M. Mack, Wingo, R. A, “Ship degaussing system and algorithm”, US Patent, No. US6965505B1, (2005).

Published

28-10-2022

How to Cite

Trịnh, Đình C., H. Vũ Lê, and T. Phùng Anh. “Researching Assessment on Magnetic Anomaly Effectiveness Results for Prolate Spheroidal Hulls by Optimization Algorithms”. Journal of Military Science and Technology, no. 82, Oct. 2022, pp. 30-39, doi:10.54939/1859-1043.j.mst.82.2022.30-39.

Issue

Section

Research Articles

Categories