无人机预测与健康管理体系结构研究  

Study on the Prognostics and Health Management Architecture of Unmanned Air Vehicle

作　　者：潘全文[1] 张观海[1] 刘琪[1] 

机构地区：[1]沈阳飞机设计研究所,辽宁沈阳110035

出　　处：《飞机设计》2012年第5期50-55,共6页Aircraft Design

摘　　要：90年代末美国人提出了自主后勤这一全新的后勤保障概念,并在第四代飞机和无人机等高技术武器装备中得到应用。预测与健康管理技术是自主后勤保障的核心技术,它在传统的健康监控和故障诊断的基础上,强调早期故障预测和跨子系统智能推理,能够实时评估和管理飞机的健康状况,为飞机的维修保障提供决策支持。本文对无人机预测与健康管理系统的体系结构以及相关的关键技术进行了深入的研究,提出一种无人机PHM系统顶层设计方案。无人机PHM技术的开发和应用对有效地降低飞机的维修保障费用,提高飞机战备完好率和任务成功率,使飞机系统能够安全、可靠地运行具有重要意义。Autonomic Logistic(AL) is a new concept of logistic support,it was put forward by American in the 90th years,and apply AL to the high technology weapon equipments,such as the fourth generation aero plane and Unmanned Air Vehicle(UAV).Prognostics and Health Management(PHM) is the core technology of AL.Basing on the traditional health monitoring and fault diagnostic capability,PHM emphasizes incipient fault prognostics,intelligent reasoning technique beyond subsystem boundaries and the ability for health assessment and management in real-time,PHM provides decision for the activities of maintenance and support.This paper makes study of the PHM's architecture for U A V and the related key technologies,and lays out a scheme of PHM's architecture for UAV.With the application in the UAV,PHM could significantly reduce the maintenance and support cost,enhance aircraft readiness and mission success and make the air system work safely,reliably and efficiently.

关 键 词：PHM 体系结构 无人机 

分 类 号：V267[航空宇航科学与技术—航空宇航制造工程]