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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
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
1063-6536
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
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, 967-979. (doi:10.1109/TCST.2013.2264322).

Record type: Article

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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More information

e-pub ahead of print date: 25 June 2013
Published date: May 2014
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 352099
URI: http://eprints.soton.ac.uk/id/eprint/352099
ISSN: 1063-6536
PURE UUID: 99f5cc89-9245-452c-a8e1-c5f38b777ae0
ORCID for E. Rogers: ORCID iD orcid.org/0000-0003-0179-9398
ORCID for R.D. Sandberg: ORCID iD orcid.org/0000-0001-5199-3944

Catalogue record

Date deposited: 02 May 2013 12:22
Last modified: 03 Dec 2019 02:04

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Contributors

Author: O. Tutty
Author: M.W. Blackwell
Author: E. Rogers ORCID iD
Author: R.D. Sandberg ORCID iD

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