Parameterization of Nonlinear Observer-Based Fault Detection Systems

被引:43
|
作者
Yang, Ying [1 ]
Ding, Steven X. [2 ]
Li, Linlin [2 ,3 ]
机构
[1] Peking Univ, Coll Engn, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
[2] Univ Duisburg Essen, Inst Automat Control & Complex Syst AKS, D-47057 Duisburg, Germany
[3] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Kernel representation; nonlinear fault detection systems; system parameterization; INPUT; STABILIZATION; FILTER;
D O I
10.1109/TAC.2016.2532381
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 note addresses parameterization issues of nonlinear observer-based fault detection (FD) systems which are composed of a residual generator, a residual evaluator and a threshold. Our study consists of two steps. In the first step, with the aid of nonlinear factorization and input-output operator techniques, we prove that any stable residual generator can be parameterized by a cascade connection of the process kernel representation and a post-filter that represents the parameter system. In the second step, based on the state-space representation of the parameterized residual generators, we investigate the so-called L-infinity- and L-2-classes of observer-based FD systems. This leads to the parameterization of the threshold settings for both classes of FD systems and, associated with them, to the characterization of the existence conditions.
引用
收藏
页码:3687 / 3692
页数:6
相关论文
共 50 条
  • [21] Recursive observer-based fault detection for a class of nonlinear uncertain systems with output constraints
    Zhang, Zhi-Hui
    Yang, Guang-Hong
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (16) : 2630 - 2645
  • [22] An Adaptive Observer-Based Fault Detection and Diagnosis for Nonlinear Systems with Sensor and Actuator Faults
    Yan, Xiaomo
    Tian, Bailing
    Wang, Hong
    2015 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2015, : 491 - 496
  • [23] Observer-based Fault Estimation For Nonlinear Singularly Perturbed Systems
    Liu Dan
    Yang Ying
    Zhao Zhengen
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 6351 - 6355
  • [24] A Framework for Observer-Based Robust Fault Detection in Nonlinear Systems With Application to Synchronous Generators in Power Systems
    Shoaib, Muhammad Asim
    Khan, Abdul Qayyum
    Mustafa, Ghulam
    Gul, Sufi Tabbasum
    Khan, Owais
    Khan, Aadil Sarwar
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (02) : 1044 - 1053
  • [25] Robust Fault Detection for Observer-Based Feedback Control Systems
    Zhao, Zhengen
    Yang, Ying
    Ding, Steven X.
    Li, Linlin
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2018, 37 (08) : 3364 - 3382
  • [26] Observer-Based Fault Detection and Isolation for a Class of Uncertain Systems
    Gu, Ying
    Yang, Guang-Hong
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 2960 - 2963
  • [27] Robust Fault Detection for Observer-Based Feedback Control Systems
    Zhengen Zhao
    Ying Yang
    Steven X. Ding
    Linlin Li
    Circuits, Systems, and Signal Processing, 2018, 37 : 3364 - 3382
  • [28] Observer-based Fault Detection for Rail Vehicle Suspension Systems
    Wang, Yue
    Mao, Zehui
    Jiang, Bin
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 2863 - 2868
  • [29] Observer-based fault detection and identification scheme for power systems
    Aldeen, M
    Crusca, F
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2006, 153 (01) : 71 - 79
  • [30] Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems
    Yan, Xing-Gang
    Edwards, Christopher
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2008, 39 (04) : 349 - 359