考虑不确定工期的飞机定检工序鲁棒优化模型  

Robust Optimization Model for Aircraft Inspection Process Considering Uncertain Maintenance Period

作　　者：陈农田[1] 张玉城 苏清宇 李琳琳 CHEN Nong-tian;ZHANG Yu-cheng;SU Qing-yu;LI Lin-lin(Civil Aviation Flight University of China,Guanghan 618000,China)

机构地区：[1]中国民用航空飞行学院,四川广汉618000

出　　处：《航空计算技术》2024年第6期16-21,共6页Aeronautical Computing Technique

基　　金：国家自然科学基金项目资助(52172387);四川省科技厅重点研发计划项目资助(2022YFG0213);民航局安全能力建设项目资助(ASSA2022/14)。

摘　　要：航空定检维修是确保飞机适航安全性重要工作,也是决定航空维修效率和成本关键环节。针对飞机定检维修工期受多种外部因素影响问题,建立考虑不确定工期的飞机定检调度模型。该模型以最大化工序鲁棒值为目标函数,同时考虑优先级约束和可更新资源约束。采用改进的萤火虫算法进行求解,将该算法应用到规模分别为10、20和30的标准实际案例验证。结果表明,相比于随机搜索算法,改进萤火虫算法得到的工序鲁棒值分别提高20.87%、93.41%和219.40%。最后对某维修中心PA44飞机的500 h定检维修案例进行分析。结果表明与实际情况相比,项目的鲁棒值提高了0.1182,证明了该模型在飞机定检工序鲁棒优化上有较好适用性。Aviation scheduled maintenance is an important task to ensure the airworthiness and safety of aircraft,and it is also a key factor in determining the efficiency and cost of aviation maintenance.Due to the influence of various external factors on the maintenance schedule of aircraft,this paper establishes an aircraft maintenance scheduling model that considers uncertain schedules.The model aims to maximize the robustness value of the process,while considering priority constraints and renewable resource constraints.Using an improved firefly algorithm for solving,the algorithm was applied to standard practical cases with scales of 10,20,and 30 for verification.The results show that compared to the random search algorithm,the improved firefly algorithm improved the process robustness values by 20.87%,93.41%,and 219.40%.Finally,an analysis was conducted on the 500 h scheduled maintenance case of PA44 aircraft at a certain maintenance center.The results show that compared with the actual situation,the robustness value of the project increased by 0.1182,proving that the model has good applicability in robust optimization of aircraft scheduled maintenance processes.

关 键 词：飞机定检 维修工序 优化模型 不确定工期 改进萤火虫算法 

分 类 号：V267[航空宇航科学与技术—航空宇航制造工程] E926.3[军事—军事装备学]