Robust multiple fault detection and estimation approaches based on adaptive finite-time observer for nonlinear systems

被引:0
作者
Qiu, Bingzhao [1 ]
Ban, Mingfei [2 ]
Li, Xin [2 ]
Liu, Yiqi [2 ]
Zhu, Liangkuan [1 ]
Song, Wenlong [2 ]
机构
[1] Northeast Forestry Univ, Coll Mech & Elect Engn, Harbin, Heilongjiang, Peoples R China
[2] Northeast Forestry Univ, Coll Comp & Control Engn, Harbin 150040, Heilongjiang, Peoples R China
基金
中国国家自然科学基金; 黑龙江省自然科学基金;
关键词
adaptive finite-time observer; fault detection and estimation; multiple faults; nonlinear systems; robust; DIAGNOSIS;
D O I
10.1002/rnc.7505
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 article investigates robust multiple fault detection (FD) and fault estimation (FE) schemes, based on adaptive finite-time observer (AFTO), applied to nonlinear systems with disturbances, actuator faults, and sensor faults. The AFTO is designed, and a parameter adaptive law is constructed to continuously optimize the residual based performance function to improve the AFTO robustness. The schemes are able to simultaneously detect and estimate unknown states, disturbances, and faults. The AFTO's design, finite-time convergence and stability conditions are guaranteed in terms of linear matrix inequalities. Finally, simulation results, based on two typical practical systems, are given to illustrate the effectiveness of the proposed approaches. The simulation results also show that the designed AFTO can offer faster convergence speed, higher estimation accuracy, and stronger robustness than conventional H infinity$$ {H}_{\infty } $$ observer and sliding mode observer.
引用
收藏
页码:10009 / 10034
页数:26
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