Robust Fault Detection and Isolation Based on Finite-frequency H_/H∞ Unknown Input Observers and Zonotopic Threshold Analysis

被引:1
|
作者
Meng Zhou [1 ,2 ]
Zhengcai Cao [1 ,2 ]
Ye Wang [3 ]
机构
[1] IEEE
[2] the College of Information Science & Technology,Beijing University of Chemical Technology
[3] at the College of Automation, Harbin Engineering University
基金
中国博士后科学基金; 中国国家自然科学基金; 国家重点研发计划; 中央高校基本科研业务费专项资金资助;
关键词
Fault detection and isolation; finite-frequency domain; H_/H_∞ technique; unknown input observer; zonotopic threshold analysis;
D O I
暂无
中图分类号
TP13 [自动控制理论];
学科分类号
0711 ; 071102 ; 0811 ; 081101 ; 081103 ;
摘要
This work proposes a robust fault detection and isolation scheme for discrete-time systems subject to actuator faults,in which a bank of H/H∞ fault detection unknown input observers(UIOs) and a zonotopic threshold analysis strategy are considered. In observer design, finite-frequency Hindex based on the generalized Kalman-Yakubovich-Popov lemma and H∞ technique are utilized to evaluate worst-case fault sensitivity and disturbance attenuation performance, respectively. The proposed H/H∞ fault detection observers are designed to be insensitive to the corresponding actuator fault only, but sensitive to others.Then, to overcome the weakness of predefining threshold for FDI decision-making, this work proposes a zonotopic threshold analysis method to evaluate the generated residuals. The FDI decision-making relies on the evaluation with a dynamical zonotopic threshold. Finally, numerical simulations are provided to show the feasibility of the proposed scheme.
引用
收藏
页码:750 / 759
页数:10
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