Pressure Sensor Fault Diagnosis by Using Adaptive Robust Observers

被引:0
|
作者
Yang, C. [1 ]
Zhou, Y. [1 ]
Chen, Z. [1 ]
Zhang, J. [1 ]
Yao, B. [2 ]
机构
[1] Zhejiang Univ, State Key Lab Fluid Power Components & Mechatron, Hangzhou 310027, Peoples R China
[2] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA
来源
IFAC PAPERSONLINE | 2023年 / 56卷 / 02期
基金
中国国家自然科学基金;
关键词
Adaptive robust observer; fault diagnosis; fault magnitude; VARYING LOADING CONDITIONS; HYDRAULIC SYSTEMS; VALVE FAULTS; LEAKAGE;
D O I
10.1016/j.ifacol.2023.10.179
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The model uncertaint of hydraulic systems is a key issue in observer-based fault diagnosis. In this research, for diagnosing pressure sensor faults in hydraulic systems, we present the application of adaptive robust observers design. For reducing model uncertainty and increasing the feasibility of the fault diagnosis scheme, this paper uses a robust filter and controlled parameter adaption to deal with model uncertainty. Then, according to the fault system model, the fault magnitude of the pressure sensor fault is estimated and the residual variance can be generated for diagnosing the sensor fault. By experiments, the fault diagnosis scheme is proven efficient, which is based on adaptive robust observers. Then, the fault magnitude can be estimated. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:5346 / 5351
页数:6
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