Studying the Effect of Meteorological Conditions Uncertainties on the Artillery Accuracy | ||
| International Conference on Aerospace Sciences and Aviation Technology | ||
| Volume 21, Issue 21, September 2025, Pages 1-10 PDF (1.76 M) | ||
| Document Type: Original Article | ||
| DOI: 10.1088/1742-6596/2616/1//asat.2025.453556 | ||
| Authors | ||
| Marwa Aly1; M. Y.M. Ahmed2; Mostafa Khalil* 3 | ||
| 1M.Sc., Aerospace Engineering Department, Military Technical College, Egypt. | ||
| 2Professor, Aerospace Engineering Department, Military Technical College, Egypt. | ||
| 3Associate Professor, Aerospace Engineering Department, Military Technical College, Egypt. | ||
| Abstract | ||
| Artillery firing accuracy is a critical factor in achieving mission success however meteorological conditions can have a significant impact. Thus, flight phases and summit altitude are key factors that can influence accuracy differently. For cargo artillery missiles, boost, free flight, and payload separation phases define the different altitudes that impact corresponding meteorological messages. Therefore, accurately representing these conditions is essential by calculating the deviation of observed meteorological data from the standard atmosphere. This study proposes a comprehensive model for flight trajectories and compares simulated results with real flight data to identify discrepancies. The findings reveal that using meteorological messages instead of raw observed data can result in accuracy discrepancies. To mitigate these accuracy discrepancies, a linearized model is proposed to generate correction data for non-standard meteorological conditions. This correction mechanism aims to enhance artillery accuracy by compensating for inaccuracies introduced by the use of meteorological messages. By incorporating this correction mechanism, cargo artillery systems can better account for meteorological variations, improving artillery accuracy and lethality, and increasing the quality of produced firing tables. | ||
| Keywords | ||
| Meteorological message; Atmospheric conditions; six-degrees-of-freedom trajectory model | ||
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