Iterative learning control for improved aerodynamic load performance of wind turbines with smart rotors
Iterative learning control for improved aerodynamic load performance of wind turbines with smart rotors
Currently there is significant research into the inclusion of smart devices in wind turbine rotor blades, with the aim, in conjunction with collective and individual pitch control, of improving the aerodynamic performance of the rotors. The main objective is to reduce fatigue loads, although mitigating the effects of extreme loads is also of interest. The aerodynamic loads on a wind turbine blade have periodic and non-periodic components, and the nature of these strongly suggests the application of iterative learning control. This paper employs a simple computational fluid dynamics model to represent flow past an airfoil, and uses this to undertake a detailed investigation into the level of control possible by, as in other areas, combining iterative learning control with classical control action with emphasis on how performance can be effectively measured
967-979
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
May 2014
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.
(2014)
Iterative learning control for improved aerodynamic load performance of wind turbines with smart rotors.
IEEE Transactions on Control Systems Technology, 22, .
(doi:10.1109/TCST.2013.2264322).
Abstract
Currently there is significant research into the inclusion of smart devices in wind turbine rotor blades, with the aim, in conjunction with collective and individual pitch control, of improving the aerodynamic performance of the rotors. The main objective is to reduce fatigue loads, although mitigating the effects of extreme loads is also of interest. The aerodynamic loads on a wind turbine blade have periodic and non-periodic components, and the nature of these strongly suggests the application of iterative learning control. This paper employs a simple computational fluid dynamics model to represent flow past an airfoil, and uses this to undertake a detailed investigation into the level of control possible by, as in other areas, combining iterative learning control with classical control action with emphasis on how performance can be effectively measured
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e-pub ahead of print date: 25 June 2013
Published date: May 2014
Organisations:
Aerodynamics & Flight Mechanics Group
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Local EPrints ID: 352099
URI: http://eprints.soton.ac.uk/id/eprint/352099
ISSN: 1063-6536
PURE UUID: 99f5cc89-9245-452c-a8e1-c5f38b777ae0
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Date deposited: 02 May 2013 12:22
Last modified: 15 Mar 2024 02:42
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Contributors
Author:
O. Tutty
Author:
M.W. Blackwell
Author:
E. Rogers
Author:
R.D. Sandberg
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