Sensor fault detection and estimation for switched power electronics systems based on sliding mode observer

被引：54

作者：

Li, Jian ^{[1
]}

Pan, Kunpeng ^{[1
]}

Su, Qingyu ^{[1
]}

机构：

[1] Northeast Elect Power Univ, Sch Automat Engn, Jilin 132012, Jilin, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2019年 / 353卷

基金：

中国国家自然科学基金;

关键词：

Buck-boost converter; Fault detection; Fault estimation; Sliding model observer; Fault reconfiguration; TOLERANT CONTROL; DIAGNOSIS; DESIGN;

D O I：

10.1016/j.amc.2019.02.010

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, the problem of sensor fault detection and estimation (FDE) for power electronics systems such as DC-DC buck-boost converter is investigated. Firstly, the power electronics system is modeled, and the fault model is given. Then based on the switched Lyapunov function technique, a sliding mode observer (SMO) is designed for the switched error systems, which can guarantee that the error systems are asymptotically stable with a prescribed H-infinity performance index. Next, comparing the set threshold with the residual which is produced by the sliding mode observer, the sensor fault detection can be achieved. Meanwhile, based on the method of fault reconfiguration, fault estimation is realized. Finally, in order to show the feasibility of this sensor fault detection and estimation, the simulation of three kinds of sensor faults including open-circuit, gain deviation and noise abnormity is given in this article. (C) 2019 Elsevier Inc. All rights reserved.

引用

页码：282 / 294

页数：13

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