Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis

Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis

Aiming at the problem of fault diagnosis in continuous time systems, a kind of fault diagnosis algorithm based on adaptive nonlinear proportional integral (PI) observer, which can realize the effective fault identification, is studied in this paper. Firstly, the stability and stability conditions of...

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Main Authors: Qing Miao, Juhui Wei, Jiongqi Wang, Yuyun Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Algorithms
Subjects:
fault diagnosis
nonlinear observer
adaptive algorithm
UAV
parameter estimation
Online Access:https://www.mdpi.com/1999-4893/14/4/119
id doaj-9dde1c3c900c493286d5a20b31d57db5
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spelling doaj-9dde1c3c900c493286d5a20b31d57db52021-04-08T23:02:00ZengMDPI AGAlgorithms1999-48932021-04-011411911910.3390/a14040119Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault DiagnosisQing Miao0Juhui Wei1Jiongqi Wang2Yuyun Chen3School of Mathematics and Big Data, Foshan University, Foshan 528225, ChinaCollege of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, ChinaSchool of Mathematics and Big Data, Foshan University, Foshan 528225, ChinaSchool of Mathematics and Big Data, Foshan University, Foshan 528225, ChinaAiming at the problem of fault diagnosis in continuous time systems, a kind of fault diagnosis algorithm based on adaptive nonlinear proportional integral (PI) observer, which can realize the effective fault identification, is studied in this paper. Firstly, the stability and stability conditions of fault diagnosis method based on the PI observer are analyzed, and the upper bound of the fault estimation error is given. Secondly, the fault diagnosis algorithm based on adjustable nonlinear PI observer is designed and constructed, it is analyzed and we proved that the upper bound of fault estimation under this algorithm is better than that of the traditional method. Finally, the L-1011 unmanned aerial vehicle (UAV) is taken as the experimental object for numerical simulation, and the fault diagnosis method based on adaptive observer factor achieves faster response speed and more accurate fault identification results.https://www.mdpi.com/1999-4893/14/4/119fault diagnosisnonlinear observeradaptive algorithmUAVparameter estimation
collection DOAJ
language English
format Article
sources DOAJ
author Qing Miao
Juhui Wei
Jiongqi Wang
Yuyun Chen
spellingShingle Qing Miao
Juhui Wei
Jiongqi Wang
Yuyun Chen
Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis
Algorithms
fault diagnosis
nonlinear observer
adaptive algorithm
UAV
parameter estimation
author_facet Qing Miao
Juhui Wei
Jiongqi Wang
Yuyun Chen
author_sort Qing Miao
title Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis
title_short Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis
title_full Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis
title_fullStr Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis
title_full_unstemmed Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis
title_sort fault diagnosis algorithm based on adjustable nonlinear pi state observer and its application in uav fault diagnosis
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2021-04-01
description Aiming at the problem of fault diagnosis in continuous time systems, a kind of fault diagnosis algorithm based on adaptive nonlinear proportional integral (PI) observer, which can realize the effective fault identification, is studied in this paper. Firstly, the stability and stability conditions of fault diagnosis method based on the PI observer are analyzed, and the upper bound of the fault estimation error is given. Secondly, the fault diagnosis algorithm based on adjustable nonlinear PI observer is designed and constructed, it is analyzed and we proved that the upper bound of fault estimation under this algorithm is better than that of the traditional method. Finally, the L-1011 unmanned aerial vehicle (UAV) is taken as the experimental object for numerical simulation, and the fault diagnosis method based on adaptive observer factor achieves faster response speed and more accurate fault identification results.
topic fault diagnosis
nonlinear observer
adaptive algorithm
UAV
parameter estimation
url https://www.mdpi.com/1999-4893/14/4/119
work_keys_str_mv AT qingmiao faultdiagnosisalgorithmbasedonadjustablenonlinearpistateobserveranditsapplicationinuavfaultdiagnosis
AT juhuiwei faultdiagnosisalgorithmbasedonadjustablenonlinearpistateobserveranditsapplicationinuavfaultdiagnosis
AT jiongqiwang faultdiagnosisalgorithmbasedonadjustablenonlinearpistateobserveranditsapplicationinuavfaultdiagnosis
AT yuyunchen faultdiagnosisalgorithmbasedonadjustablenonlinearpistateobserveranditsapplicationinuavfaultdiagnosis
_version_ 1721533479714291712

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