Active Fault Diagnosis for LPV Systems: An Index-Based Approach

被引：0
|
作者：
Zhang, Zhao [1 ]
Guo, Yaqi [1 ]
He, Xiao [2 ]
机构：
[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Dept Automat, BNRist, Beijing 100084, Peoples R China
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2023年 / 72卷
基金：
中国国家自然科学基金;
关键词：
Uncertainty; Fault diagnosis; Stochastic processes; Indexes; Generators; Probability density function; Quadratic programming; Active fault diagnosis (AFD); auxiliary input; index-based method; linear parameter-varying (LPV) systems; uncertain Gaussian zonotope (UGZ);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This article investigates the active fault diagnosis (AFD) problem for linear parameter-varying (LPV) systems. The system uncertainties, including system disturbances, noises, and initial conditions, are characterized by uncertain Gaussian zonotopes (UGZs). An index-based AFD scheme is proposed, which can avoid the requirement of complete separation of output sets of different system modes and reduce conservatism to a certain extent. A new index is proposed to characterize the similarity between two zonotopes. According to this index, the auxiliary input is designed by solving a quadratic programming problem. A novel fault diagnosis strategy is proposed to determine which mode the system is actually operating in. A numerical example is presented to demonstrate the effectiveness of the proposed approach.
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页数：8
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