Observer Based Fault Estimation for Inverter Devices of Traction Systems with Disturbance

被引:0
|
作者
Liu, Shangkun [1 ]
Jiang, Bin [1 ]
Mao, Zehui [1 ]
Ma, Yajie [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Jiangsu, Peoples R China
来源
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
基金
中国国家自然科学基金;
关键词
Fault Estimation; Inverter Devices; Augmented system; Adaptive Observer; ACCOMMODATION; DIAGNOSIS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the design of a fault estimation scheme with component fault and sensor noise for the three-phase inverter of high-speed trains. To design the component fault estimation observer, the three-phase inverter system states are augmented with the disturbance treated as new states, leading to an augmented and singular system. The observer is designed to generate the needed residual signal for fault estimation by using system output measurements. The adaptive law is established by the Lyapunov theory, and the design of the proposed observer is reformulated as linear matrix inequality (LMI). Simulation result shows the effectiveness of the proposed approach for fault estimation of the three-phase inverter.
引用
收藏
页码:2006 / 2010
页数:5
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