Estimation of high altitude wind parameters of guided projectile based on NGO BP

DOI:	10.11809/bqzbgcxb2024.11.012
Keywords:	northern goshawk optimization; backpropagation neural network; high altitude wind field parameters; ballistic analysis; error analysis
Abstract:	The high altitude wind field has a significant impact on the ballistic characteristics of guided shells.In order to improve control accuracy, how to quickly and accurately obtain high altitude wind field data and correct the impact of meteorological parameters on ballistic characteristics is currently a hot research topic.This article innovatively uses the Northern Goshawk Optimization Algorithm (NGO) to optimize the original weights of the Backpropagation (BP) neural network, and conducts identification research on high altitude wind field parameters according to height.By collecting high altitude wind field parameters and conducting simulation analysis based on experimental trajectory data, the accuracy of the identified high altitude wind field parameters was evaluated using two methods: error statistics evaluation method and simulation trajectory data result analysis.The analysis results showed that the accuracy of identifying high altitude wind field parameters using the NGO BP neural network method was significantly improved compared to the backpropagation neural network method.
Issue:	Vol. 45 No. 11 (2024)
Published:	2024-11-30
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