Room:
Egbert-von-Hoyer Hall
Topic:
D. Control and supporting technologies
Form of presentation:
Oral
Duration:
120 Minutes
Chaired by: J.-W. van Wingerden, E. Bossanyi
16:30
Lidar-Assisted Feedforward Individual Pitch Control to Compensate Wind Shear and Yawed Inflow
Svenja Wortmann | TU Darmstadt | Germany
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Authors:
Svenja Wortmann | TU Darmstadt | Germany
Jens Geisler | Germany
Ulrich Konigorski | Germany
Lidar-assisted individual pitch control (IPC) has been investigated occasionally in recent years, focusing on the compensation of (vertical) wind shear as the main disturbance. Since yawed inflow might cause significant load fluctuations too, it is worth to compensate. Load patterns caused by yawed inflow significantly differ from those caused by wind shear, requiring a more sophisticated control algorithm. In this contribution a lidar-assisted cyclic pitch feedforward control to compensate wind shear and yawed inflow is presented. The main objective is the analysis of the load patterns through a simplified aerodynamic model, which among other things focuses on a reasonable representation of the skewed wake effect. Establishing a suitable structure of the feedforward controller follows. The contribution ends with a comparison of fatigue load reductions achieved with a well-known feedback IPC, this new and a previous feedforward controller using ideal lidar measurement chains.
16:50
Turbulent Extreme Event Simulations for Lidar-Assisted Wind Turbine Control
Dr. David Schlipf | University of Stuttgart | Germany
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Authors:
Dr. David Schlipf | University of Stuttgart | Germany
Steffen Raach | Germany
This work presents a wind field generator which allows to shape wind fields in the time domain while maintaining the spectral properties. This is done by an iterative generation of wind fields and by minimizing the error between wind characteristics of the generated wind fields and desired values. The method leads towards realistic ultimate load calculations for lidar-assisted control. This is demonstrated by fitting a turbulent wind field to an Extreme Operating Gust. The wind field is then used to compare a baseline feedback controller alone against a combined feedback and feedforward controller using simulated lidar measurements. The comparison confirms that the lidar-assisted controller is still able to significantly reduce the ultimate loads on the tower base under this more realistic conditions.
17:10
Nacelle LiDAR online wind field reconstruction applied to feedforward pitch control
Fabrice Guillemin | IFP Energies nouvelles | France
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Author:
Fabrice Guillemin | IFP Energies nouvelles | France
This paper presents innovative wind field filtering and reconstruction strategies to retrieve significant wind information from nacelle LiDAR real-time raw data. The collected experimental data and the exposed results have been produced in the context of a collaborative experimental project, SMARTEOLE, which involves IFPEN, LEOSPHERE, MAIA EOLIS and Orleans PRISME laboratory. In addition, the short-term forecast knowledge of the rotor effective wind speed is used by an anticipating control approach, that takes into account actuators time response, to reach true "on-time" blade pitch angle positioning. Performance indicators are obtained from an onshore FAST/SIMULINK platform, designed to be representative of MAIA EOLIS operated onshore wind turbines, which are SENVION MM82.