摘要
针对航空发动机传感器硬故障,基于模型预测控制(MPC)算法,提出了一种"隐性"判断传感器故障的主动容错控制(FTC)方法。首先,该方法建立包含正常模式以及传感器故障的预测模型库,然后,监控决策单元根据传感器测量值,选择与之最匹配的预测模型,并向切换单元下达切换指令,以此达到在线容错的目的。同时,对CMPASS-40K涡扇发动机进行了主动容错控制仿真,结果表明,监控决策机制能够在较短的时间内判断传感器故障,实现容错,而且该方法不仅能实现已知故障容错,还能实现未知故障容错。
Based on Model Predictive Control(MPC) algorithm,an active Fault Tolerant Control(FTC) method is proposed,which can diagnose sensor hard fault implicitly.Firstly,a prediction model library is established,which includes normal models and abnormal models with sensor faults.Then,the best matching prediction model is selected and the switch command is sent to the switching unit by the monitoring decision-making unit according to the sensor measurements,so as to realize online fault tolerance.At the same time,active fault-tolerant control simulations of CMPASS-40 K turbofan engine are carried out.The results show that the monitoring and decision-making mechanism can judge sensor faults and realize fault-tolerance in a relatively short time.Moreover,this method can not only realize the tolerance of known faults,but also realize the tolerance of unknown faults.
作者
王伟
王倩
陈义成
白杰
WANG Wei;WANG Qian;CHEN Yi-cheng;BAI Jie(Tianjin Key Laboratory on Civil Aircraft Airworthiness and Maintenance Civil Aviation University of China, Tianjin 300300, China)
出处
《电光与控制》
CSCD
北大核心
2019年第11期31-36,40,共7页
Electronics Optics & Control
基金
大飞机重大专项支持
关键词
传感器硬故障
模型预测控制
预测模型库
容错控制
sensor hard fault
Model Predictive Control(MPC)
predictive model library
fault-tolerant control
