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
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