Abstract
A novel Subspace Predictive Repetitive Control (SPRC) methodology is presented and used to control trailing edge flaps for wind turbines. First, the dynamics of the wind turbine are identified online. This is especially important for trailing edge flaps on a large wind turbine, where a local change in wind conditions can result in significantly altered aerodynamics. Next, a repetitive control (RC) law is formulated for the multivariable problem from the identified dynamics, that guarantees stability when the identification converges to the true system parameters. This is done in a lower-dimensional basis-function subspace, which reduces computations and gives high control over the shape of the actuator signal. The SPRC methodology is validated in a high-fidelity wind turbine simulation environment.
Original language | English |
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Title of host publication | Proceedings of the 2014 American Control Conference, 4-6 June 2014, Portland, Oregon |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 4422-4427 |
ISBN (Print) | 978-1-4799-3274-0 |
DOIs | |
Publication status | Published - 2014 |
Event | 2014 American Control Conference (ACC 2014), June 4-6, 2014, Portland, OR, USA - Hilton Portland & Executive Tower , Portland, OR, United States Duration: 4 Jun 2014 → 6 Jun 2014 http://acc2014.a2c2.org/ |
Conference
Conference | 2014 American Control Conference (ACC 2014), June 4-6, 2014, Portland, OR, USA |
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Abbreviated title | ACC 2014 |
Country/Territory | United States |
City | Portland, OR |
Period | 4/06/14 → 6/06/14 |
Internet address |