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Abstract—The main objective of this work is to explore the feasibility of using LIght Detection And Ranging (LIDAR) measurement and develop feedforward control strategy to improve wind turbine operation. Firstly the Pseudo LIDAR measurement data is produced using software package GH Bladed across a distance from the turbine to the wind measurement points. Next the transfer function representing the evolution of wind speed is developed. Based on this wind evolution model, a model-inverse feedforward control strategy is employed for the pitch control at above-rated wind conditions, in which LIDAR measured wind speed is fed into the feedforward. Finally the baseline feedback controller is augmented by the developed feedforward control. This control system is developed based on a Supergen 5MW wind turbine model linearised at the operating point, but tested with the nonlinear model of the same system. The system performances with and without the feedforward control channel are compared. Simulation results suggest that with LIDAR information, the added feedforward control has the potential to reduce blade and tower loads in comparison to a baseline feedback control alone.
|Number of pages||6|
|Publication status||Published - 11 Sep 2015|
|Event||21st International Conference on Automation and Computing, ICAC 2015 - University of Strathclyde, Glasgow, United Kingdom|
Duration: 11 Sep 2015 → 12 Sep 2015
|Conference||21st International Conference on Automation and Computing, ICAC 2015|
|Period||11/09/15 → 12/09/15|
- wind turbine control
- light Detection And Ranging (LiDAR)
- disturbance rejection
- wind speed evolution
- feedforward control
Wang, M., Yue, H., Bao, J., & Leithead, W. E. (2015). LIDAR-based wind speed modelling and control system design. 1-6. 21st International Conference on Automation and Computing, ICAC 2015, Glasgow, United Kingdom.