Fault Diagnosis For Wave Energy Converters With Model Uncertainties

Yao Zhang; Tianyi Zeng; Zhiwei Gao; Stephen Turnock; Dominic Hudson

doi:10.1016/j.ifacol.2023.10.767

Fault Diagnosis For Wave Energy Converters With Model Uncertainties

Yao Zhang^*, Tianyi Zeng^*, Zhiwei Gao^*, Stephen Turnock^*, Dominic Hudson^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

21 Downloads (Pure)

Abstract

Unexpected sensor and actuator faults degrade the control performance and even introduce damage breaking down the wave energy converter (WEC) system. Fault detection for wave energy converters is of great importance in enhancing the reliability and robustness of WECs. This paper investigates a robust fault diagnosis method for single-point absorbers. An unknown input observer is designed to estimate the fault in real-time, which is robust against model uncertainties. This method can also be straightforwardly applied to other types of WEC. The parameters of the proposed observer can be calculated offline, which enhances the real-time implementation with a low computational burden.

Original language	English
Pages (from-to)	10880-10885
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	56
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.767
Publication status	Published - 22 Nov 2023
Event	22nd IFAC World Congress - Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fault diagnosis
Robustness
Unknown input observer
Wave energy converters

Access to Document

10.1016/j.ifacol.2023.10.767Licence: CC BY-NC-ND

1-s2.0-S2405896323011448-mainFinal published version, 617 KBLicence: CC BY-NC-ND

Cite this

@article{68706888c3ff438a884564e8cb578ba4,

title = "Fault Diagnosis For Wave Energy Converters With Model Uncertainties",

abstract = "Unexpected sensor and actuator faults degrade the control performance and even introduce damage breaking down the wave energy converter (WEC) system. Fault detection for wave energy converters is of great importance in enhancing the reliability and robustness of WECs. This paper investigates a robust fault diagnosis method for single-point absorbers. An unknown input observer is designed to estimate the fault in real-time, which is robust against model uncertainties. This method can also be straightforwardly applied to other types of WEC. The parameters of the proposed observer can be calculated offline, which enhances the real-time implementation with a low computational burden.",

keywords = "Fault diagnosis, Robustness, Unknown input observer, Wave energy converters",

author = "Yao Zhang and Tianyi Zeng and Zhiwei Gao and Stephen Turnock and Dominic Hudson",

year = "2023",

month = nov,

day = "22",

doi = "10.1016/j.ifacol.2023.10.767",

language = "English",

volume = "56",

pages = "10880--10885",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier",

number = "2",

note = "22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",

}

TY - JOUR

T1 - Fault Diagnosis For Wave Energy Converters With Model Uncertainties

AU - Zhang, Yao

AU - Zeng, Tianyi

AU - Gao, Zhiwei

AU - Turnock, Stephen

AU - Hudson, Dominic

PY - 2023/11/22

Y1 - 2023/11/22

N2 - Unexpected sensor and actuator faults degrade the control performance and even introduce damage breaking down the wave energy converter (WEC) system. Fault detection for wave energy converters is of great importance in enhancing the reliability and robustness of WECs. This paper investigates a robust fault diagnosis method for single-point absorbers. An unknown input observer is designed to estimate the fault in real-time, which is robust against model uncertainties. This method can also be straightforwardly applied to other types of WEC. The parameters of the proposed observer can be calculated offline, which enhances the real-time implementation with a low computational burden.

AB - Unexpected sensor and actuator faults degrade the control performance and even introduce damage breaking down the wave energy converter (WEC) system. Fault detection for wave energy converters is of great importance in enhancing the reliability and robustness of WECs. This paper investigates a robust fault diagnosis method for single-point absorbers. An unknown input observer is designed to estimate the fault in real-time, which is robust against model uncertainties. This method can also be straightforwardly applied to other types of WEC. The parameters of the proposed observer can be calculated offline, which enhances the real-time implementation with a low computational burden.

KW - Fault diagnosis

KW - Robustness

KW - Unknown input observer

KW - Wave energy converters

UR - https://www.scopus.com/pages/publications/85184963448

U2 - 10.1016/j.ifacol.2023.10.767

DO - 10.1016/j.ifacol.2023.10.767

M3 - Conference article

AN - SCOPUS:85184963448

SN - 2405-8963

VL - 56

SP - 10880

EP - 10885

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 2

T2 - 22nd IFAC World Congress

Y2 - 9 July 2023 through 14 July 2023

ER -

Fault Diagnosis For Wave Energy Converters With Model Uncertainties

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this