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Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors

Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors
Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors
The inclusion of smart devices in wind turbine rotor blades could, in conjunction with collective and individual pitch control, improve the aerodynamic performance of the rotors. This is currently an active area of research with the primary objective of reducing the fatigue loads but mitigating the effects of extreme loads is also of interest. The aerodynamic loads on a wind turbine blade contain periodic and non-periodic components and one approach is to consider the application of iterative learning control algorithms. In this paper the control design is based on a simple, in relative terms, computational fluid dynamics model that uses non-linear wake effects to represent flow past an airfoil. In this paper, a representation for the actuator dynamics is included to undertake a detailed investigation into the level of control possible and on how performance can be effectively measured.
0020-3270
55-68
Blackwell, M.W.
c1d44f46-2510-4188-9e3e-fce6b6d8134a
Tutty, O.R.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Sandberg, R.D.
353c42e9-dd2c-4779-8160-27681561adf5
Blackwell, M.W.
c1d44f46-2510-4188-9e3e-fce6b6d8134a
Tutty, O.R.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Sandberg, R.D.
353c42e9-dd2c-4779-8160-27681561adf5

Blackwell, M.W., Tutty, O.R., Rogers, E and Sandberg, R.D. (2016) Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors. International Journal of Control, 89 (1), 55-68.

Record type: Article

Abstract

The inclusion of smart devices in wind turbine rotor blades could, in conjunction with collective and individual pitch control, improve the aerodynamic performance of the rotors. This is currently an active area of research with the primary objective of reducing the fatigue loads but mitigating the effects of extreme loads is also of interest. The aerodynamic loads on a wind turbine blade contain periodic and non-periodic components and one approach is to consider the application of iterative learning control algorithms. In this paper the control design is based on a simple, in relative terms, computational fluid dynamics model that uses non-linear wake effects to represent flow past an airfoil. In this paper, a representation for the actuator dynamics is included to undertake a detailed investigation into the level of control possible and on how performance can be effectively measured.

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Accepted/In Press date: 27 May 2015
e-pub ahead of print date: 8 July 2015
Published date: 2016
Organisations: Aeronautics, Astronautics & Comp. Eng

Identifiers

Local EPrints ID: 363008
URI: https://eprints.soton.ac.uk/id/eprint/363008
ISSN: 0020-3270
PURE UUID: 9865882c-1ae6-43d9-b407-80a19b0c4f0f
ORCID for E Rogers: ORCID iD orcid.org/0000-0003-0179-9398

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Date deposited: 10 Mar 2014 18:54
Last modified: 14 Jun 2019 00:40

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