Print Email Facebook Twitter Repetitive pitch control for Vertical Axis Wind Turbine Title Repetitive pitch control for Vertical Axis Wind Turbine Author Kumar, V. (Student TU Delft; ECN, Petten) Savenije, F.J. (ECN Solar Energy) van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden) Date 2018 Abstract Increasing demands in decentralized power plants have focused attention on Vertical Axis Wind Turbines (VAWTs). However, accessing high range of power from VAWTs is an impediment due to increased loads on the turbine blades. Here, we derive an optimal pitching action that reduces the periodic disturbance on turbine blades of VAWTs without affecting their power production. A control technique called Subspace Predictive Repetitive Control (SPRC) alongwith a LQ Tracker is used for recursive identification to estimate the parameters of VAWT model and further provide an optimal control law accordingly. Basis functions have been used to reduce the dimensionality of the control problem. Simulation results show a great potential of the data-driven SPRC approach coupled with LQ Tracker in reducing the turbine loads on VAWTs. Subject Basis FunctionsLifted DomainLQ TrackerSubspace Predictive Repetitive ControlVAWT To reference this document use: http://resolver.tudelft.nl/uuid:cfb9e1f4-872c-4f9d-9faf-64c7309ca37f DOI https://doi.org/10.1088/1742-6596/1037/3/032030 Publisher IOP Publishing, Bristol, UK Source Journal of Physics: Conference Series: The Science of Making Torque from Wind (TORQUE 2018), 1037 Event TORQUE 2018, 2018-06-20 → 2018-06-22, Milano, Italy Series Journal of Physics: Conference Series, 1742-6588 Part of collection Institutional Repository Document type conference paper Rights © 2018 V. Kumar, F.J. Savenije, J.W. van Wingerden Files PDF pdf.pdf 2.89 MB Close viewer /islandora/object/uuid:cfb9e1f4-872c-4f9d-9faf-64c7309ca37f/datastream/OBJ/view