Robust fault diagnosis algorithm for a class of Lipschitz system with unknown exogenous disturbances

被引:8
|
作者
Qian, Hua-Ming [1 ]
Fu, Zhen-Duo [1 ]
Li, Jun-Bao [2 ]
Yu, Lei-Lei [1 ,3 ]
机构
[1] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Dept Automat Test & Control, Harbin 150001, Peoples R China
[3] China Elect Technol Grp Corp, Res Inst 54, Shijiazhuang 050081, Peoples R China
基金
中国国家自然科学基金;
关键词
Fault diagnosis; Nonlinear system; robustness; Unknown input disturbances; NONLINEAR-SYSTEMS; DETECTION FILTER; LMI APPROACH; OBSERVER; SENSOR; IDENTIFICATION; REACTOR; DESIGN;
D O I
10.1016/j.measurement.2013.04.012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A robust fault diagnosis scheme for nonlinear system is designed and a novel algorithm for a robust fault diagnosis observer is proposed in this paper. The robustness performance index is defined to ensure the robustness of the observer designed. The norm of most unknown input disturbances are assumed bounded at present. However, some systems are proved unstable under traditional assumptions. In the proposed algorithm, the external disturbances constraint condition that satisfies the system stability is derived based on Gronwall Lemma. The design procedure of the observer proposed is implemented by pole assignment. Adaptive threshold is generated using the designed observer. Simulations are performed on continuous stirred tank reactor (CSTR) and the results show the effectiveness and superiority of the proposed algorithm. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2324 / 2334
页数:11
相关论文
共 50 条
  • [41] Robust Fault Diagnosis for Discrete-Time Switched System with Unknown State Delays Subject to Component Faults
    Zhang, Haigang
    INFORMATION TECHNOLOGY AND CONTROL, 2019, 48 (01): : 146 - 159
  • [42] Unknown input modeling and robust fault diagnosis using black box observers
    Manuja, Seema
    Narasimhan, Shankar
    Patwardhan, Sachin C.
    JOURNAL OF PROCESS CONTROL, 2009, 19 (01) : 25 - 37
  • [43] OPTIMAL UNKNOWN INPUT DISTRIBUTION MATRIX SELECTION IN ROBUST FAULT-DIAGNOSIS
    PATTON, RJ
    CHEN, J
    AUTOMATICA, 1993, 29 (04) : 837 - 841
  • [44] Robust unknown input filter for fault diagnosis of non-linear systems
    Mrugalski, Marcin
    Witczak, Marcin
    2013 18TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2013, : 172 - 177
  • [45] Automated post-fault diagnosis of power system disturbances
    McArthur, Stephen D. J.
    Davidson, Euan. M.
    2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9, 2006, : 1396 - 1401
  • [46] Robust output regulation for a flexible wing system with unknown output disturbances and references
    Meng, Tingting
    Fu, Qiang
    Huang, Haifeng
    Zhang, Shuang
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2024, 34 (05) : 3074 - 3090
  • [47] Robust locally linear embedding algorithm for machinery fault diagnosis
    Zhang, Yansheng
    Ye, Dong
    Liu, Yuanhong
    NEUROCOMPUTING, 2018, 273 : 323 - 332
  • [48] Robust Actuator Fault Diagnosis Algorithm for Autonomous Hexacopter UAVs
    Rot, Antonio Gonzalez
    Hasan, Agus
    Manoonpong, Poramate
    IFAC PAPERSONLINE, 2020, 53 (02): : 682 - 687
  • [49] FAULT DIAGNOSIS IN A PROCESS EXPERIMENTAL CONTROL SYSTEM WITH UNKNOWN FACTORS
    Inoue, Akira
    Deng, Mingcong
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2008, 7 (01) : 151 - 155
  • [50] Robust adaptive tracking control for a class of mechanical systems with unknown disturbances under actuator saturation
    Hu, Xin
    Wei, Xinjiang
    Zhang, Huifeng
    Han, Jian
    Liu, Xiuhua
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (06) : 1893 - 1908