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

Authors: Guochang Zhang; Li Chen; Kuankuan Liang

Addresses: School of Aeronautics and Astronautics, Shanghai Jiaotong University, 200240, China ' School of Air Transportation, Shanghai University of Engineering Science, Shanghai, 201620, China ' School of Aeronautics and Astronautics, Shanghai Jiaotong University, 200240, China

Abstract: 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.

Keywords: aerostat; actuator; fault monitoring; fault diagnosis; principal component analysis; PCA; state observer.

DOI: 10.1504/IJMIC.2019.102367

International Journal of Modelling, Identification and Control, 2019 Vol.32 No.2, pp.145 - 153

Received: 13 Nov 2018
Accepted: 02 Jan 2019
Published online: 23 Sep 2019 *

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