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
*lfqian@njust.edu.cn
收稿:2024-10-10,
网络出版:2025-08-28,
纸质出版:2025-08-31
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张龙, 钱林方, 马欣宇. 火炮火力打击体系多目标优化[J]. 兵工学报, 2025,46(8):240939.
Long ZHANG, Linfang QIAN, Xinyu MA. Multi-objective Optimization of Artillery Firepower Strike System[J]. Acta Armamentarii, 2025, 46(8): 240939.
张龙, 钱林方, 马欣宇. 火炮火力打击体系多目标优化[J]. 兵工学报, 2025,46(8):240939. DOI: 10.12382/bgxb.2024.0939.
Long ZHANG, Linfang QIAN, Xinyu MA. Multi-objective Optimization of Artillery Firepower Strike System[J]. Acta Armamentarii, 2025, 46(8): 240939. DOI: 10.12382/bgxb.2024.0939.
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
采用第二代非支配排序遗传算法的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。
Due to the complexity of artillery firepower strike system and the coupling of various elements
the traditional design methods for designing the subsystems to be relatively independent of each other are insufficient to meet the needs of integrated system development.A firepower strike system design model based on multi-objective optimization is constructed to address this issue.According to the composition of artillery firepower strike system
the parameter models for multiple subsystems are established
and the main constraint parameters and the design parameters are determined.An optimization design model is established by taking the mission time
ammunition consumption
and mission cost as the objectives.The multi-objective optimization algorithm of the second-generation non-dominated sorting genetic algorithm (NSGA-II) is used to complete the optimization design of a typical firepower system
thereby 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.
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陈登 , 陈楚湘 , 周春华 . 基于OODA环的杀伤网节点重要性评估 [J ] . 兵工学报 , 2024 , 45 ( 2 ): 363 - 372 . DOI: 10.12382/bgxb.2022.0623 http://doi.org/10.12382/bgxb.2022.0623 基于网络信息体系的联合作战中,破坏敌杀伤网、降效敌杀伤体系作战效能,要求能够识别敌杀伤网中关键节点。基于OODA环理论及杀伤链概念建模,利用节点删除法,通过网络作战能力及网络循环效率两项指标的下降程度评估杀伤网节点的重要性,克服传统评估方法在指标计算中存在冗余的问题,提高评估精度。采用该方法评估某作战演练中敌方杀伤网节点的重要性,精准识别指挥决策节点的枢纽作用,验证方法的有效性,并对杀伤网节点的重要性进行评估排序,为选择进攻要点提供依据。
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周健 , 龚春林 , 粟华 , 等 . 飞行器体系优化设计问题 [J ] . 航空学报 , 2018 , 39 ( 11 ): 222223 . DOI: 10.7527/S1000-6893.2018.22223 http://doi.org/10.7527/S1000-6893.2018.22223 针对传统的飞行器设计与体系(SOS)设计相互独立造成的飞行器实际作战效能不足的问题,对同时考虑飞行器与体系耦合设计的飞行器体系优化设计问题展开研究。首先,根据体系工程(SOSE)原理给出了耦合飞行器设计与体系结构设计的飞行器体系优化设计问题的基本概念与通用数学定义;其次,基于多层体系架构,构建了飞行器体系设计优化模型,提出了包含问题定义、体系架构建模、学科建模、优化求解4个步骤的通用建模求解流程;最后,以巡飞/精确打击武器协同作战为例,构建了面向任务成本最低、时间最短的协同作战体系最优化问题并对其进行优化求解。与先设计飞行器后设计体系结构的解耦设计结果对比表明,解耦优化设计忽略了体系结构与飞行器的强耦合特征,无法最优化体系效能;耦合优化设计能够获得体系效能最大化的飞行器设计方案。
ZHOU J , GONG C L , SU H , et al . Optimal design problem of system of systems of flight vehicle [J ] . Acta Aeronautica et Astronautica Sinica , 2018 , 39 ( 11 ): 222223 . (in Chinese) DOI: 10.7527/S1000-6893.2018.22223 http://doi.org/10.7527/S1000-6893.2018.22223 To address the insufficient actual operational effectiveness of the flight vehicle caused by the independence between the traditional flight vehicle design and the System of Systems (SOS) design, and the defects of manual iteration, the optimal coupling design of flight vehicle and system of systems is studied in this paper. First, based on the principle of System of Systems Engineering (SOSE), this paper presents the basic concept and general mathematical definition of the optimal design of the flight vehicle system of systems combined SOS architeclure design and flight vehicle design. Then, based on the multi-level system of systems architecture, a model for the optimal design of the flight vehicle system of systems is built, and a general modeling and solving process for such a problem is proposed, which includes the definition of the problem, its architecture modeling, its discipline modeling, and its optimization of problem solving. Finally, taking LAM/PAM cooperative weapon system combat application case as an example, an optimization task of pursing the shortest attacking time and the lowest cost is built and solved. Calculation results show that the design result of the decoupling design mode, which designs the flight vehicle first and then the system of systems, cannot meet the demand of combat operations, but the design result of the coupling design method can complete the combat mission much better and produce flight vehicle conceptual design schemes that can maximize the effectiveness of the system of systems.
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