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
相关论文
共 50 条
  • [1] Fault Diagnosis in Managed Pressure Drilling Using Nonlinear Adaptive Observers
    Willersrud, Anders
    Imsland, Lars
    [J]. 2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 1946 - 1951
  • [2] ROBUST SENSOR FAULT RECONSTRUCTION FOR NONLINEAR SYSTEMS USING OBSERVERS
    Zhang, Changfan
    Liu, Xinzhi
    He, Jing
    [J]. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2012, 22 (02):
  • [3] Robust adaptive techniques for sensor fault detection and diagnosis
    Demetriou, M
    [J]. PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 1143 - 1148
  • [4] Robust model-based fault detection using adaptive robust observers
    Garimella, Phanindra
    Yao, Bin
    [J]. 2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8, 2005, : 3073 - 3078
  • [5] Robust and nonlinear fault diagnosis using sliding mode observers
    Xiong, Y
    Saif, M
    [J]. PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 567 - 572
  • [6] A Novel Adaptive Sensor Fault Estimation Algorithm in Robust Fault Diagnosis
    Pazera, Marcin
    Witczak, Marcin
    [J]. SENSORS, 2022, 22 (24)
  • [7] Robust adaptive fault isolation observers for nonlinear systems
    Marino, R
    Santosuosso, GL
    [J]. NONLINEAR CONTROL SYSTEMS 2001, VOLS 1-3, 2002, : 1343 - 1348
  • [8] Robust Fault Detection Based On Adaptive Set Observers
    Efimov, Denis
    Raissi, Tarek
    Zolghadri, Ali
    [J]. 2010 CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL'10), 2010, : 714 - 719
  • [9] Robust fault diagnosis for linear descriptor systems using proportional integral observers
    Marx, B
    Koenig, D
    Georges, D
    [J]. 42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 457 - 462
  • [10] Fault Diagnosis for Nonlinear Uncertain Systems Using Robust/Sliding Mode Observers
    Jiang, B.
    Staroswiecki, M.
    [J]. CONTROL AND INTELLIGENT SYSTEMS, 2005, 33 (03)