基于数字孪生的无人机状态监测方法  

Unmanned Aerial Vehicle Condition Monitoring Method Based on Digital Twin

作　　者：张生琨 任素萍 杨星雨 郭林 马洪波[1] ZHANG Sheng-kun;REN Su-ping;YANG Xing-yu;GUO Lin;MA Hong-bo(Xidian University,Xi′an 710000,China;China Academy of Aerospace Aerodynamics,Beijing 100000,China)

机构地区：[1]西安电子科技大学,陕西西安710000 [2]中国航天空气动力技术研究所,北京100000

出　　处：《航空计算技术》2023年第2期75-79,共5页Aeronautical Computing Technique

基　　金：“十四五”国防基础科研计划项目资助(JCKY2020203XXXX)。

摘　　要：当今无人机产业迅速发展,无人机状态监测对保障无人机的正常运行至关重要。依据数字孪生的构建框架,分别对无人机的物理模型、几何模型、行为模型、规则模型和数据模型方面进行构建,实现了具有实时交互能力的无人机数字孪生模型,从无人机的物理实体、数字孪生体与无人机的数据信息等方面出发,构建了一种实时数据驱动的无人机的数字孪生模型。并依据无人机机翼主梁的光纤应变传感器数据对主梁承受的载荷进行统计,根据雨流计数法成功计算出主梁所受的载荷大小,实现了对无人机状态的实时监测。With the rapid development of unmanned aerial vehicle(UAV)industry,it is very important to ensure the normal operation of UAV.This paper proposes a UAV condition monitoring method based on digital twin technology.According to the construction framework of digital twin,this method constructs the physical model,geometric model,behavior model,rule model and data model of UAV respectively,realizes the digital twin model of UAV with real time interaction ability,and constructs a real time data driven digital twin model of UAV from the aspects of physical entity of UAV,digital twin and data information of UAV.According to the data of optical fiber strain sensor of UAV wing main beam,the load on the main beam is counted,and the load on the main beam is successfully calculated according to the rain flow counting method,realizing the real time monitoring of UAV status.

关 键 词：无人机 数字孪生 数据驱动 状态监测 雨流计数法 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]