Iterative learning control of wind turbine smart rotors with pressure sensors
Iterative learning control of wind turbine smart rotors with pressure sensors
Improving the aerodynamic effectiveness and hence energy production of wind turbines is of critical importance and there is currently research into to the inclusion of smart devices in rotor blades in conjunction with collective and individual pitch control. The main objective is to reduce fatigue loads which have periodic and non-periodic components. This paper gives further results on the use of iterative learning control in this application area based on first constructing a simple but realistic computational fluid dynamics model to represent flow past an airfoil. The new results are based on the use of pressure sensors to estimate the lift.
Tutty, O.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Blackwell, M.W.
c1d44f46-2510-4188-9e3e-fce6b6d8134a
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Sandberg, R.D.
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19 June 2013
Tutty, O.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Blackwell, M.W.
c1d44f46-2510-4188-9e3e-fce6b6d8134a
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Sandberg, R.D.
41d03f60-5d12-4f2d-a40a-8ff89ef01cfa
Tutty, O., Blackwell, M.W., Rogers, E. and Sandberg, R.D.
(2013)
Iterative learning control of wind turbine smart rotors with pressure sensors.
2013 American Control Conference, , Washington DC, United States.
16 - 18 Jun 2013.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Improving the aerodynamic effectiveness and hence energy production of wind turbines is of critical importance and there is currently research into to the inclusion of smart devices in rotor blades in conjunction with collective and individual pitch control. The main objective is to reduce fatigue loads which have periodic and non-periodic components. This paper gives further results on the use of iterative learning control in this application area based on first constructing a simple but realistic computational fluid dynamics model to represent flow past an airfoil. The new results are based on the use of pressure sensors to estimate the lift.
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Published date: 19 June 2013
Venue - Dates:
2013 American Control Conference, , Washington DC, United States, 2013-06-16 - 2013-06-18
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 352230
URI: http://eprints.soton.ac.uk/id/eprint/352230
PURE UUID: 379eed12-cc6b-404c-8dc8-9715ff061e37
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Date deposited: 08 May 2013 13:59
Last modified: 09 Jan 2022 02:40
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Contributors
Author:
O. Tutty
Author:
M.W. Blackwell
Author:
E. Rogers
Author:
R.D. Sandberg
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