A Descriptor System Approach for Estimation of Incipient Faults With Application to High-Speed Railway Traction Devices

被引：166

作者：

Wu, Yunkai ^{[1
,2
]}

Jiang, Bin ^{[1
,2
]}

Lu, Ningyun ^{[1
,2
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China

[2] Nanjing Univ Aeronaut & Astronaut, Jiangsu Key Lab Internet Things & Control Technol, Nanjing 210016, Jiangsu, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2019年 / 49卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Descriptor systems; high-speed railway traction device; incipient fault estimation; state/noise estimation; H-INFINITY CONTROL; NONLINEAR-SYSTEMS; OBSERVER DESIGN; OUTPUT-FEEDBACK; LINEAR-SYSTEMS; DIAGNOSIS; RECONSTRUCTION; STATE; MULTIPLE;

D O I：

10.1109/TSMC.2017.2757264

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 this paper, a novel descriptor estimator-based incipient fault estimation scheme is designed for Lipschitz nonlinear descriptor systems with process disturbances and measurement output noises. By using the proposed estimator, incipient sensor faults, abrupt actuator faults, and measurement noises can be estimated asymptotically. Application results conducted on a three-phase inverter system of China railway high-speed trains arc given to illustrate the effectiveness of the developed approach. The main contributions are summarized in two aspects: 1) the unified framework designed for actuator and sensor fault reconstruction/estimation problem is capable of dealing with actuator and sensor faults at the same time and 2) a linear matrix inequality optimization method is formulated to achieve optimal performance of signal estimation.

引用

页码：2108 / 2118

页数：11

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