Fitting method of spinning projectile tri-orthogonal geomagnetic output based on improved particle swarm optimization algorithm

Authors

  • Zilu He Shanghai Electro-Mechanical Engineering Institute, Shanghai, China
  • Yiji Liu Shanghai Electro-Mechanical Engineering Institute, Shanghai, China
  • Qi Liang Shanghai Electro-Mechanical Engineering Institute, Shanghai, China
  • Yundong He Shanghai Electro-Mechanical Engineering Institute, Shanghai, China
  • Xin Chen Shanghai Electro-Mechanical Engineering Institute, Shanghai, China
  • Xiongzhu Bu Nanjing University of Science and Technology, School of Mechanical Engineering, Nanjing, China
  • Miaomiao Xu Nantong University, School of Information Science and Technology, Nantong, China

DOI:

https://doi.org/10.24425/mms.2024.150287

Keywords

improved particle swarm optimization, geomagnetic attitude measurement, coarse initial parameter, weak boundary condition

Abstract

Obtaining the characteristics at a characteristic point of the outputs is a key step to the geomagnetic attitude measurement method of the spinning projectile. However, actual outputs usually have some noise that causes the characteristic points to deviate from the theoretical position or produce multiple fake characteristic points, resulting in the increase of solution error and even the failure of solution. In addition, the coning motion and inaccurate initial alignment of the spinning projectile increase the number of unknown parameters and the computational complexity. In this study, several improved particle swarm optimization strategies are proposed. The actual outputs are fitted to the geomagnetic output equations under the coning motion, and the supervised learning effect of each strategy is analysed and compared. The algorithm can be flexibly adjusted according to different needs in actual use by selecting appropriate strategies, which has a wide applicability in data fitting.

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Published

2024-09-30

How to Cite

He, Zilu, et al. “Fitting Method of Spinning Projectile Tri-Orthogonal Geomagnetic Output Based on Improved Particle Swarm Optimization Algorithm”. Metrology and Measurement Systems, vol. 31, no. 3, Sept. 2024, pp. 451-64, doi:10.24425/mms.2024.150287.

Issue

Vol. 31 No. 3 (2024)

Section

Articles