Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica
This paper presents the modelling, control and sensorless speed estimation of two micro-wind turbines deployed by the British Antarctic Survey (BAS) in Antarctica. Mathematical models for the generators attached to an Ampair 100 and Rutland 913 wind turbines and their experimental validation are giv...
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The Institution of Engineering and Technology
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ftuwarwick:oai:wrap.warwick.ac.uk:96927 2023-05-15T13:33:01+02:00 Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica Llano Chiguano, Danilo X (Xavier) McMahon, Richard A. 2018-02-12 application/pdf http://wrap.warwick.ac.uk/96927/ http://wrap.warwick.ac.uk/96927/7/WRAP-Modelling-control-sensorless-speed-estimation-McMahon-2017.pdf https://doi.org/10.1049/iet-rpg.2016.0528 unknown The Institution of Engineering and Technology http://wrap.warwick.ac.uk/96927/7/WRAP-Modelling-control-sensorless-speed-estimation-McMahon-2017.pdf Llano Chiguano, Danilo X (Xavier) and McMahon, Richard A. (2018) Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica. IET Renewable Power Generation, 12 (3). pp. 342-350. doi:10.1049/iet-rpg.2016.0528 <http://dx.doi.org/10.1049/iet-rpg.2016.0528> TJ Mechanical engineering and machinery Journal Article NonPeerReviewed 2018 ftuwarwick https://doi.org/10.1049/iet-rpg.2016.0528 2022-03-16T21:20:01Z This paper presents the modelling, control and sensorless speed estimation of two micro-wind turbines deployed by the British Antarctic Survey (BAS) in Antarctica. Mathematical models for the generators attached to an Ampair 100 and Rutland 913 wind turbines and their experimental validation are given. Also, a model for the wind turbines, particularly taking into account the power coefficient Cp versus tip speed ratio λ relationship was proposed and successfully evaluated on a wind turbine emulator test rig. This paper describes an analogue speed estimator board and a Kalman filter for estimating the shaft speed. These estimators use only DC side measurements to match the characteristics of the current version of the turbine control board. The wind turbine control and speed estimators were tested on the emulator test rig using real wind data from BAS research bases in Antarctica. Using only DC side measurements leads to low computation requirements to execute the algorithms in comparison to commonly used schemes that rely on AC measurements. In addition, the estimation algorithms are based on the model of a PM generator connected to a diode rectifier, as they can be used in a wider range of applications, including DC to DC converters with MPPT algorithms based on speed measurements. Article in Journal/Newspaper Antarc* Antarctic Antarctica British Antarctic Survey The University of Warwick: WRAP - Warwick Research Archive Portal Antarctic IET Renewable Power Generation 12 3 342 350 |
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The University of Warwick: WRAP - Warwick Research Archive Portal |
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ftuwarwick |
language |
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topic |
TJ Mechanical engineering and machinery |
spellingShingle |
TJ Mechanical engineering and machinery Llano Chiguano, Danilo X (Xavier) McMahon, Richard A. Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica |
topic_facet |
TJ Mechanical engineering and machinery |
description |
This paper presents the modelling, control and sensorless speed estimation of two micro-wind turbines deployed by the British Antarctic Survey (BAS) in Antarctica. Mathematical models for the generators attached to an Ampair 100 and Rutland 913 wind turbines and their experimental validation are given. Also, a model for the wind turbines, particularly taking into account the power coefficient Cp versus tip speed ratio λ relationship was proposed and successfully evaluated on a wind turbine emulator test rig. This paper describes an analogue speed estimator board and a Kalman filter for estimating the shaft speed. These estimators use only DC side measurements to match the characteristics of the current version of the turbine control board. The wind turbine control and speed estimators were tested on the emulator test rig using real wind data from BAS research bases in Antarctica. Using only DC side measurements leads to low computation requirements to execute the algorithms in comparison to commonly used schemes that rely on AC measurements. In addition, the estimation algorithms are based on the model of a PM generator connected to a diode rectifier, as they can be used in a wider range of applications, including DC to DC converters with MPPT algorithms based on speed measurements. |
format |
Article in Journal/Newspaper |
author |
Llano Chiguano, Danilo X (Xavier) McMahon, Richard A. |
author_facet |
Llano Chiguano, Danilo X (Xavier) McMahon, Richard A. |
author_sort |
Llano Chiguano, Danilo X (Xavier) |
title |
Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica |
title_short |
Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica |
title_full |
Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica |
title_fullStr |
Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica |
title_full_unstemmed |
Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica |
title_sort |
modelling, control and sensorless speed estimation of micro-wind turbines for deployment in antarctica |
publisher |
The Institution of Engineering and Technology |
publishDate |
2018 |
url |
http://wrap.warwick.ac.uk/96927/ http://wrap.warwick.ac.uk/96927/7/WRAP-Modelling-control-sensorless-speed-estimation-McMahon-2017.pdf https://doi.org/10.1049/iet-rpg.2016.0528 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica British Antarctic Survey |
genre_facet |
Antarc* Antarctic Antarctica British Antarctic Survey |
op_relation |
http://wrap.warwick.ac.uk/96927/7/WRAP-Modelling-control-sensorless-speed-estimation-McMahon-2017.pdf Llano Chiguano, Danilo X (Xavier) and McMahon, Richard A. (2018) Modelling, control and sensorless speed estimation of micro-wind turbines for deployment in Antarctica. IET Renewable Power Generation, 12 (3). pp. 342-350. doi:10.1049/iet-rpg.2016.0528 <http://dx.doi.org/10.1049/iet-rpg.2016.0528> |
op_doi |
https://doi.org/10.1049/iet-rpg.2016.0528 |
container_title |
IET Renewable Power Generation |
container_volume |
12 |
container_issue |
3 |
container_start_page |
342 |
op_container_end_page |
350 |
_version_ |
1766037899400183808 |