Fault Diagnosis and Fault Tolerant Control with Application on a Wind Turbine Low Speed Shaft Encoder

Peter Fogh Odgaard, Hector Eloy Sanchez Sardi, Teressa Escobet, Vicenc Puig

Research output: Contribution to journalConference article in JournalResearchpeer-review

2 Citations (Scopus)

Abstract

In recent years, individual pitch control has been developed for wind turbines, with the purpose of reducing blade and tower loads. Such algorithms depend on reliable sensor information. The azimuth angle sensor, which positions the wind turbine rotor in its rotation, is quite important. This sensor has to be correct as blade pitch actions should be different at different azimuth angle as the wind speed varies within the rotor field due to different phenomena. A scheme detecting faults in this sensor has previously been designed for the application of a high end fault diagnosis and fault tolerant control of wind turbines using a benchmark model. In this paper, the fault diagnosis scheme is improved and integrated with a fault accommodation scheme which enables and disables the individual pitch algorithm based on the fault detection. In this way, the blade and tower loads are not increased due to individual pitch control algorithm operating with faulty azimuth angle inputs. The proposed approach is evaluated on a wind turbine benchmark model, which is based on the FAST aero-elastic code provided by NREL.
Original languageEnglish
Book seriesI F A C Workshop Series
Volume48
Issue number21
Pages (from-to)1357-1362
ISSN1474-6670
DOIs
Publication statusPublished - Sep 2015
Event9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Paris, France
Duration: 2 Sep 20154 Sep 2015
Conference number: 9

Conference

Conference9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Number9
CountryFrance
CityParis
Period02/09/201504/09/2015

Fingerprint

Wind turbines
Failure analysis
Sensors
Towers
Rotors
Fault detection
Turbomachine blades

Cite this

Odgaard, Peter Fogh ; Sardi, Hector Eloy Sanchez ; Escobet, Teressa ; Puig, Vicenc. / Fault Diagnosis and Fault Tolerant Control with Application on a Wind Turbine Low Speed Shaft Encoder. In: I F A C Workshop Series. 2015 ; Vol. 48, No. 21. pp. 1357-1362.
@inproceedings{411ecbfe51af44eba0858eba0a910888,
title = "Fault Diagnosis and Fault Tolerant Control with Application on a Wind Turbine Low Speed Shaft Encoder",
abstract = "In recent years, individual pitch control has been developed for wind turbines, with the purpose of reducing blade and tower loads. Such algorithms depend on reliable sensor information. The azimuth angle sensor, which positions the wind turbine rotor in its rotation, is quite important. This sensor has to be correct as blade pitch actions should be different at different azimuth angle as the wind speed varies within the rotor field due to different phenomena. A scheme detecting faults in this sensor has previously been designed for the application of a high end fault diagnosis and fault tolerant control of wind turbines using a benchmark model. In this paper, the fault diagnosis scheme is improved and integrated with a fault accommodation scheme which enables and disables the individual pitch algorithm based on the fault detection. In this way, the blade and tower loads are not increased due to individual pitch control algorithm operating with faulty azimuth angle inputs. The proposed approach is evaluated on a wind turbine benchmark model, which is based on the FAST aero-elastic code provided by NREL.",
author = "Odgaard, {Peter Fogh} and Sardi, {Hector Eloy Sanchez} and Teressa Escobet and Vicenc Puig",
year = "2015",
month = "9",
doi = "10.1016/j.ifacol.2015.09.714",
language = "English",
volume = "48",
pages = "1357--1362",
journal = "I F A C Workshop Series",
issn = "1474-6670",
publisher = "Elsevier",
number = "21",

}

Fault Diagnosis and Fault Tolerant Control with Application on a Wind Turbine Low Speed Shaft Encoder. / Odgaard, Peter Fogh; Sardi, Hector Eloy Sanchez; Escobet, Teressa; Puig, Vicenc.

In: I F A C Workshop Series, Vol. 48, No. 21, 09.2015, p. 1357-1362.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Fault Diagnosis and Fault Tolerant Control with Application on a Wind Turbine Low Speed Shaft Encoder

AU - Odgaard, Peter Fogh

AU - Sardi, Hector Eloy Sanchez

AU - Escobet, Teressa

AU - Puig, Vicenc

PY - 2015/9

Y1 - 2015/9

N2 - In recent years, individual pitch control has been developed for wind turbines, with the purpose of reducing blade and tower loads. Such algorithms depend on reliable sensor information. The azimuth angle sensor, which positions the wind turbine rotor in its rotation, is quite important. This sensor has to be correct as blade pitch actions should be different at different azimuth angle as the wind speed varies within the rotor field due to different phenomena. A scheme detecting faults in this sensor has previously been designed for the application of a high end fault diagnosis and fault tolerant control of wind turbines using a benchmark model. In this paper, the fault diagnosis scheme is improved and integrated with a fault accommodation scheme which enables and disables the individual pitch algorithm based on the fault detection. In this way, the blade and tower loads are not increased due to individual pitch control algorithm operating with faulty azimuth angle inputs. The proposed approach is evaluated on a wind turbine benchmark model, which is based on the FAST aero-elastic code provided by NREL.

AB - In recent years, individual pitch control has been developed for wind turbines, with the purpose of reducing blade and tower loads. Such algorithms depend on reliable sensor information. The azimuth angle sensor, which positions the wind turbine rotor in its rotation, is quite important. This sensor has to be correct as blade pitch actions should be different at different azimuth angle as the wind speed varies within the rotor field due to different phenomena. A scheme detecting faults in this sensor has previously been designed for the application of a high end fault diagnosis and fault tolerant control of wind turbines using a benchmark model. In this paper, the fault diagnosis scheme is improved and integrated with a fault accommodation scheme which enables and disables the individual pitch algorithm based on the fault detection. In this way, the blade and tower loads are not increased due to individual pitch control algorithm operating with faulty azimuth angle inputs. The proposed approach is evaluated on a wind turbine benchmark model, which is based on the FAST aero-elastic code provided by NREL.

U2 - 10.1016/j.ifacol.2015.09.714

DO - 10.1016/j.ifacol.2015.09.714

M3 - Conference article in Journal

VL - 48

SP - 1357

EP - 1362

JO - I F A C Workshop Series

JF - I F A C Workshop Series

SN - 1474-6670

IS - 21

ER -