Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO

This paper studies an improved set-valued observer (SVO) for a complex model of a wind energy conversion system (WECS). To fit reality, an unknown function is used to describe the aerodynamic model, and a delay of the input signal is added to simulate the actual situation. The conservative SVO estim...

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Bibliographic Details
Main Authors: Ruinan Zhao, Yanxia Shen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
SVO
Online Access:https://ieeexplore.ieee.org/document/9133050/
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spelling doaj-a550031b918b4a7997de582d11bc082f2021-03-30T01:59:10ZengIEEEIEEE Access2169-35362020-01-01812105012105810.1109/ACCESS.2020.30068949133050Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVORuinan Zhao0https://orcid.org/0000-0002-7613-5775Yanxia Shen1Engineering Research Center of IoT Technology and Application of the Ministry of Education, Jiangnan University, Wuxi, ChinaEngineering Research Center of IoT Technology and Application of the Ministry of Education, Jiangnan University, Wuxi, ChinaThis paper studies an improved set-valued observer (SVO) for a complex model of a wind energy conversion system (WECS). To fit reality, an unknown function is used to describe the aerodynamic model, and a delay of the input signal is added to simulate the actual situation. The conservative SVO estimates the state error convergence within an adjustable interval. The extended Lipschitz condition, set-induced theory, and uniformly ultimately boundedness guarantees the convergence of errors. Based on the SVO, a fault detection system and corresponding fault detection strategies for common faults of WECSs are proposed. By adjusting the gain matrix L, the SVO shows excellent state tracking performance. The simulation results show that the proposed fault detection system can provide rapid and accurate fault detection.https://ieeexplore.ieee.org/document/9133050/Extended Lipschitz conditionfault detection strategiesSVOset-induced theoryuniformly ultimately boundednessunknown function
collection DOAJ
language English
format Article
sources DOAJ
author Ruinan Zhao
Yanxia Shen
spellingShingle Ruinan Zhao
Yanxia Shen
Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO
IEEE Access
Extended Lipschitz condition
fault detection strategies
SVO
set-induced theory
uniformly ultimately boundedness
unknown function
author_facet Ruinan Zhao
Yanxia Shen
author_sort Ruinan Zhao
title Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO
title_short Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO
title_full Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO
title_fullStr Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO
title_full_unstemmed Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO
title_sort fault detection of wecss with a delayed input and an unknown part based on svo
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This paper studies an improved set-valued observer (SVO) for a complex model of a wind energy conversion system (WECS). To fit reality, an unknown function is used to describe the aerodynamic model, and a delay of the input signal is added to simulate the actual situation. The conservative SVO estimates the state error convergence within an adjustable interval. The extended Lipschitz condition, set-induced theory, and uniformly ultimately boundedness guarantees the convergence of errors. Based on the SVO, a fault detection system and corresponding fault detection strategies for common faults of WECSs are proposed. By adjusting the gain matrix L, the SVO shows excellent state tracking performance. The simulation results show that the proposed fault detection system can provide rapid and accurate fault detection.
topic Extended Lipschitz condition
fault detection strategies
SVO
set-induced theory
uniformly ultimately boundedness
unknown function
url https://ieeexplore.ieee.org/document/9133050/
work_keys_str_mv AT ruinanzhao faultdetectionofwecsswithadelayedinputandanunknownpartbasedonsvo
AT yanxiashen faultdetectionofwecsswithadelayedinputandanunknownpartbasedonsvo
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