Kalman filter based data fusion for neutral axis tracking in wind turbine towers

Rohan Soman, Pawel Malinowski, Wieslaw Ostachowicz, Uwe Schmidt Paulsen

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Abstract

Wind energy is seen as one of the most promising solutions to man's ever increasing demands of a clean source of energy. In particular to reduce the cost of energy (COE) generated, there are efforts to increase the life-time of the wind turbines, to reduce maintenance costs and to ensure high availability. Maintenance costs may be lowered and the high availability and low repair costs ensured through the use of condition monitoring (CM) and structural health monitoring (SHM). SHM allows early detection of damage and allows maintenance planning. Furthermore, it can allow us to avoid unnecessary downtime, hence increasing the availability of the system. The present work is based on the use of neutral axis (NA) for SHM of the structure. The NA is tracked by data fusion of measured yaw angle and strain through the use of Extended Kalman Filter (EKF). The EKF allows accurate tracking even in the presence of changing ambient conditions. NA is defined as the line or plane in the section of the beam which does not experience any tensile or compressive forces when loaded. The NA is the property of the cross section of the tower and is independent of the applied loads and ambient conditions. Any change in the NA position may be used for detecting and locating the damage. The wind turbine tower has been modelled with FE software ABAQUS and validated on data from load measurements carried out on the 34m high tower of the Nordtank, NTK 500/41 wind turbine.
Original languageEnglish
Title of host publicationHealth Monitoring of Structural and Biological Systems 2015
EditorsTribikram Kundu
Volume9438
PublisherSPIE - International Society for Optical Engineering
Publication date2015
Pages94381B
DOIs
Publication statusPublished - 2015
EventHealth Monitoring of Structural and Biological Systems 2015 - San Diego, CA, United States
Duration: 9 Mar 201512 Mar 2015

Conference

ConferenceHealth Monitoring of Structural and Biological Systems 2015
CountryUnited States
CitySan Diego, CA
Period09/03/201512/03/2015
SeriesProceedings of the SPIE - The International Society for Optical Engineering
Volume9438
ISSN0277-786X

Bibliographical note

Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Cite this

Soman, R., Malinowski, P., Ostachowicz, W., & Schmidt Paulsen, U. (2015). Kalman filter based data fusion for neutral axis tracking in wind turbine towers. In T. Kundu (Ed.), Health Monitoring of Structural and Biological Systems 2015 (Vol. 9438, pp. 94381B). SPIE - International Society for Optical Engineering. Proceedings of the SPIE - The International Society for Optical Engineering, Vol.. 9438 https://doi.org/10.1117/12.2084145