Design optimization of wheeled military vehicle to minimize elevation and azimuth error of gun barrel

Namhee Ryu, Kihan Kwon, Gunin Kim, Hansu Kim, Tae Hee Lee, Seungjae Min

Research output: Contribution to journalArticle

Abstract

: As a ground combat vehicle performs various tasks in different operating environments, there are different sources of gun errors that reduce the firing accuracy of the weapon system. Error analysis should be performed since a lot of factors(e.g., recoil force after firing, vertical movement while driving on uneven terrain, vibration due to continuous firing, etc.) can result in the change of impact point. In this research, elevation and azimuth errors of the gun barrel are predicted by using a model-based simulation model. Driving velocity, profile of uneven terrain, and firing types are considered as different error sources, and gun barrel errors are estimated while a vehicle moves in different scenarios. In order to minimize both elevation and azimuth errors, multi-objective optimization is performed to find the optimal values of suspension components and Pareto optimum solutions are obtained.

Original languageEnglish
Pages (from-to)245-251
Number of pages7
JournalTransactions of the Korean Society of Automotive Engineers
Volume27
Issue number4
DOIs
StatePublished - 2019 Apr

Keywords

  • Error minimization
  • Modeling and simulation
  • Optimization
  • Wheeled military vehicle

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