Research on Optimization of Integrated Probabilistic Design Framework for Missile IGC under Massive Operating Conditions

Changmao Qin, Zhang Xin, Liu Wenxuan, Tian Dong
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Abstract

In order to adapt to the development trend of low-cost, digital missiles, to meet the needs of refined design, rapid equipment formation, and enhancement of combat capabilities, missile guidance and control integrated probabilistic design simulation has been widely used. With the diversified development of research tasks and status, calculation conditions and data processing capacity have increased several times or even dozens of times, which puts forward higher requirements for design efficiency and rapid analysis capabilities. This paper conducts an in-depth investigation and study of the probabilistic design operation process and method, cycle and cost, and determines the main influencing factors by extracting the internal commonality and reason analysis. It proposes a targeted improvement method for the simulation platform architecture optimization. The application effect shows that this method can effectively improve the efficiency of probabilistic design simulation, and can effectively reduce the design cycle and cost under the simulation of massive working conditions. It has engineering practical value.
大规模工况下导弹IGC综合概率设计框架优化研究
为了适应导弹低成本、数字化的发展趋势,满足精细化设计、快速装备编队、增强作战能力的需要,导弹制导与控制综合概率设计仿真得到了广泛的应用。随着研究任务和研究现状的多样化发展,计算条件和数据处理能力都提高了几倍甚至几十倍,这对设计效率和快速分析能力提出了更高的要求。本文对概率设计的操作流程和方法、周期和成本进行了深入的调查研究,并通过提取其内部共性和原因分析,确定了主要影响因素。提出了一种有针对性的仿真平台架构优化改进方法。应用效果表明,该方法能有效提高概率设计仿真的效率,在大规模工况仿真下能有效缩短设计周期和成本。具有工程实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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