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火炮火力打击体系多目标优化

张龙1,2,钱林方1,2*,马欣宇2   

  1. 1. 南京理工大学 机械工程学院, 江苏 南京 210094; 2. 西北机电工程研究所, 陕西 咸阳 712099
  • 收稿日期:2024-10-10 修回日期:2024-12-21
  • 基金资助:
    国家自然科学联合基金项目“叶企孙”科学基金项目(U2341269)

Multitarget Optimization of Artillery Fire Attack System

ZHANG Long1,2,QIAN Linfang1,2 *, MA Xinyu2   

  1. 1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China; 2. Northwest Institute of Mechnical & Electrical Engineering, Xianyang 712099, Shannxi, China
  • Received:2024-10-10 Revised:2024-12-21

摘要: 针对火炮火力打击体系的构成复杂,各要素相互耦合,传统各分系统相对分离的设计方法难以满足体系融合发展需求的突出问题,构建了基于多目标优化的火力打击体系设计模型。根据火炮火力打击体系的组成,构建多个分系统的参数模型,确定了主要的约束参数和设计参数。建立以任务时间、耗弹量、任务成本为目标的优化设计模型,采用NSGA-II多目标遗传算法完成了典型火力体系的优化设计,确定了火力体系构成中无人机、指控设备、火炮、弹药、底盘等分系统的主要设计参数。研究结果表明,多目标优化方法能够解决多个分系统设计中多参数相互耦合的问题,获得体系效能最优的设计结果,并且可根据作战任务需求为火力体系的配置提供支撑。

关键词: 火力打击体系, 杀伤链, 任务时间, 体系优化, 多目标优化

Abstract: Due to the complexity of the artillery firepower strike system and the coupling of various elements, traditional design methods that separate subsystems are insufficient to meet the needs of integrated system development. To address this issue, a firepower strike system design model based on multi-objective optimization was constructed. According to the composition of the artillery firepower strike system, parameter models for multiple subsystems were established, and the main constraint parameters and design parameters were determined. An optimization design model was established with mission time, ammunition consumption, and mission cost as objectives. The NSGA-II multi-objective genetic algorithm was used to complete the optimization design of a typical firepower system, determining the main design parameters of subsystems such as drones, command and control equipment, artillery, ammunition, and chassis. The research results show that the multi-objective optimization method can solve the problem of multi-parameter coupling in the design of multiple subsystems, achieve the optimal design results for system performance, and provide support for the configuration of the firepower system according to operational mission requirements.

Key words: firepower strike system, kill chain, mission time, system optimization, multi-objective optimization

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