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基于多Agent的航空机群保障仿真评估分析 被引量:2

Simulation evaluation and analysis of aircraft group support based on multi-agent
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摘要 航空机群保障涉及要素广、策略多、交互性强,仿真分析方法是开展飞机保障决策与评估研究的热点和难点。提出一种机群保障仿真评估方法,建立多智能体(Agent)功能类型与交互关系模型;对多Agent结构进行定义,并建立模型;以五型飞机构成的航空机群为仿真对象,以任务成功率为保障指标进行案例验证与仿真计算分析。结果表明:各型飞机平均故障间隔时间(MTBF)、设备故障平均修复时间(MTTR)对任务成功率的影响总体趋势相似,随着MTBF的增加任务成功率提升,随着MTTR的增加任务成功率降低。所提方法能够为航空机群维修保障智能决策提供一种可行、有效的方法手段,支撑基于模型的智能决策优化实现。 Aircraft group support involves a wide range of elements,multiple strategies,and strong interaction.Its simulation analysis method is a hot and difficult point in conducting research on aircraft group support decision-making and evaluation.This paper first establishes the multi-agent function type and interaction relationship model;Secondly,defines the multi-agent structure and establish the model;Finally,Using the aircraft group consisting of five types of aircraft as the simulation object,the case validation and simulation analysis are conducted based on the mission success rate as the guarantee indicators.The results show that the mean time between failures(MTBF)and the mean time to repair(MTTR)of various types of fighters have similar effects on the mission success rate.As the MTBF increases,the mission success rate increases.As the MTTR increases,the mission success rate decreases.The proposed support simulation evaluation method can provide a feasible and effective method for the intelligent decision-making of aircraft group maintenance support,and support the realization of model-based intelligent decision-making optimization.
作者 丁刚 崔利杰 韩诚 王新河 张峰 DING Gang;CUI Lijie;HAN Cheng;WANG Xinhe;ZHANG Feng(School of Equipment Management and UAV Engineering,Air Force Engineering University,Xi’an 710051,China;School of Mechanics,Civil Engineering and Architecture,Northwestern Polytechnical University,Xi’an 710129,China)
出处 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2023年第9期2306-2316,共11页 Journal of Beijing University of Aeronautics and Astronautics
基金 技术基础科研计划(212KJ43005)。
关键词 航空机群 保障 多智能体 仿真评估 敏感性分析 aircraft group support multi-agent simulation evaluation sensitivity analysis
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