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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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 |
_version_ |
1724186015778734080 |