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A New Residual Evaluation Function Based Fault Diagnosis for a Kind of Nonlinear Systems
Author(s) -
Liu Hai,
Zhong Maiying,
Liu Yang
Publication year - 2019
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1776
Subject(s) - residual , nonlinear system , fault detection and isolation , control theory (sociology) , fault (geology) , projection (relational algebra) , function (biology) , computer science , filter (signal processing) , energy (signal processing) , mathematics , algorithm , artificial intelligence , physics , control (management) , statistics , quantum mechanics , evolutionary biology , seismology , computer vision , biology , geology
Abstract In this paper, a new residual evaluation function (EF) is proposed for the H i / H ∞ fault detection filter (FDF). Residuals are projected into the direction of fault, then energy of this projection is adopted as the new EF. Compared with the traditional EF, improvement in FD ability of the new EF is demonstrated rigorously, and a recursive way to calculate it is also proposed under the assumption that fault is slowly time varying. Furthermore, application of this new EF for fault isolation (FI) is discussed, which finally leads to a systematic FDI scheme for a kind of nonlinear systems. Simulations with a nonlinear unmanned aerial vehicle (UAV) model validate the proposed method.