Study on modeling and production inaccuracies for artillery firing

Abstract

Production and assessment of artillery firing tables (FT) are the key tasks in solving ballistic problems through both standard and non-standard firing conditions. According to the literature, two different standard firing table formats were developed by the former-Soviet and the United States armies. This study proposes the main difference between these FT formats, as the standard meteorological conditions. An accuracy assessment has been proposed to justify different sources of errors through modeling and production of such tables, including applied meteorological message, aiming angles round-off, linear superposition principle, and Earth approximation. A~case study has been proposed for the 155M107 projectile to demonstrate the impact of the Coriolis effect as well as other ballistic and atmospheric non-standard conditions. As a part of the construction of artillery FT, a fitting process has to be made between available firing data and simulations. Therefore, a parametric study is implemented to study the number of test elevations per charge needed through the fitting process and its corresponding production error. Hence, based on the number of test elevations available, the genetic algorithm (GA) has been utilized to obtain the test elevations order needed with minimum FT production error. The results show a good agreement with the data stated in the literature.

Keywords

• artillery firing table
• modified point mass
• meteorological messages
• coriolis effect
• genetic algorithm ga