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Computational fluid dynamics based iterative learning control of peak loads in wind turbines

Computational fluid dynamics based iterative learning control of peak loads in wind turbines
Computational fluid dynamics based iterative learning control of peak loads in wind turbines
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 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. As a first investigation into the control of wind turbines using such a model, the design of control laws with a simple structure is investigated
3948-3953
Tutty, O.R.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Blackwell, M.W.
c1d44f46-2510-4188-9e3e-fce6b6d8134a
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Sandberg, Richard D.
41d03f60-5d12-4f2d-a40a-8ff89ef01cfa
Tutty, O.R.
c9ba0b98-4790-4a72-b5b7-09c1c6e20375
Blackwell, M.W.
c1d44f46-2510-4188-9e3e-fce6b6d8134a
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Sandberg, Richard D.
41d03f60-5d12-4f2d-a40a-8ff89ef01cfa

Tutty, O.R., Blackwell, M.W., Rogers, E. and Sandberg, Richard D. (2012) Computational fluid dynamics based iterative learning control of peak loads in wind turbines. 51st IEEE Conference on Decision and Control, United States. 10 - 13 Dec 2012. pp. 3948-3953 .

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 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. As a first investigation into the control of wind turbines using such a model, the design of control laws with a simple structure is investigated

Full text not available from this repository.

More information

Submitted date: 2012
e-pub ahead of print date: December 2012
Venue - Dates: 51st IEEE Conference on Decision and Control, United States, 2012-12-10 - 2012-12-13
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 341232
URI: http://eprints.soton.ac.uk/id/eprint/341232
PURE UUID: 18dac740-25a1-43d5-8c77-9436974c58b1
ORCID for E. Rogers: ORCID iD orcid.org/0000-0003-0179-9398
ORCID for Richard D. Sandberg: ORCID iD orcid.org/0000-0001-5199-3944

Catalogue record

Date deposited: 18 Jul 2012 10:03
Last modified: 20 Jul 2019 01:23

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