Kalman Filter Based Fault Detection of Dual Motor Systems

被引：0

作者：

Guo Fumin ^{[1
]}

Ren Xuemei ^{[1
]}

Li Zhijun ^{[2
]}

Han Cunwu ^{[2
]}

机构：

[1] Beijing Inst Technol, Beijing 100081, Peoples R China

[2] North China Univ Technol, Beijing 100144, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

基金：

中国国家自然科学基金;

关键词：

Kalman Filter; Fault Detection; Dual Motor Systems; ELECTROHYDRAULIC SERVO SYSTEM; PARAMETER-ESTIMATION; MODEL; SCHEME; DRIVES;

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：

Fault detection of a class of dual motor systems is discussed in this paper. A linear dual motor systems with sensor faults and actuator faults as well as random noise are modeled, and a kalman filter based fault detection scheme is proposed. In the designed fault detection scheme, a kalman filter based residual generator is constructed to generate the residual signal, and then an evaluation function is used to provide the fault decision, also a threshold is designed to detect the occurrence of faults. Finally, a simulation example is given to show the applicability and effectiveness of the proposed fault detection approach.

引用

页码：7133 / 7137

页数：5

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