Fault monitoring and diagnosis of aerostat actuator based on PCA and state observer

被引:5
|
作者
Zhang, Guochang [1 ]
Chen, Li [2 ]
Liang, Kuankuan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai 200240, Peoples R China
[2] Shanghai Univ Engn Sci, Sch Air Transportat, Shanghai 201620, Peoples R China
基金
美国国家科学基金会;
关键词
aerostat; actuator; fault monitoring; fault diagnosis; principal component analysis; PCA; state observer; CONTROL-SYSTEM;
D O I
10.1504/IJMIC.2019.102367
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the problem of actuator fault diagnosis for multi-propeller aerostats, this paper adopts the fault monitoring and diagnostic method that combines principal component analysis (PCA) and state observer. When the aerostat is running, the fault is detected in real time through the PCA method; once the fault occurs, the linearisation model of the system is obtained by the method of small disturbance linearisation and the failure factor of the fault is further calculated by the state observer. Therefore, the location and severity of the fault are obtained. The simulation results show that the fault diagnosis method based on the combination of principal component analysis and state observer can monitor and diagnose the failure of the aerostat actuator in real time.
引用
收藏
页码:145 / 153
页数:9
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