Error Analysis of an Airborne Dispenser Based on Monte-Carlo Method

Abstract

By analyzing the workflow of dispenser and the movement of submunitions, a mathematical model of submunitions movement under ideal meteorological conditions was established, which provided a model for the research of submunitions dispensing. Four important factors affecting the distribution of bullet drop point were determined by studying the ballistic characteristics of the dispenser, the height and velocity of the dispenser, the dispensing velocity and the delay time of the deceleration parachute opening, and the distribution law of bullet drop point was found. Finally, based on the Monte-Carlo method random simulation analysis of the main influencing factors, the distribution error law of submunitions drop point is obtained, which provided a foundation for the operational effectiveness evaluation of weapons.