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

• Autorzy: He Zilu , Liu Yiji , Liang Qi , He Yundong , Chen Xin , Bu Xiongzhu , Xu Miaomiao

Identyfikatory

DOI

10.24425/mms.2024.150287

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

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

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2024
• Tom: Vol. 31, nr 3
• Strony: 451--464
• Opis fizyczny: Bibliogr. 25 poz., rys., tab., wykr., wzory

Twórcy

autor

He Zilu

• Shanghai Electro-Mechanical Engineering Institute, Shanghai, China

autor

Liu Yiji

• Shanghai Electro-Mechanical Engineering Institute, Shanghai, China

autor

Liang Qi

• Shanghai Electro-Mechanical Engineering Institute, Shanghai, China

autor

He Yundong

• Shanghai Electro-Mechanical Engineering Institute, Shanghai, China

autor

Chen Xin

• Shanghai Electro-Mechanical Engineering Institute, Shanghai, China

autor

Bu Xiongzhu

• Nanjing University of Science and Technology, School of Mechanical Engineering, Nanjing, China

autor

Xu Miaomiao

• Nantong University, School of Information Science and Technology, Nantong, China

Bibliografia

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Uwagi

1. This work was supported by the National Natural Science Foundation of China. Grants nos. 61675097 and 62101287.

2. Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).