Abstract
A gain-scheduled feedforward controller, based on pseudo-LIDAR (light detection and ranging) wind speed measurement, is designed to augment the baseline feedback controller for wind turbine’s load reduction in above rated operation. The pseudo-LIDAR measurement data are generated from a commercial software – Bladed using a designed sampling strategy. The nonlinear wind turbine model has been simplified and linearised at a set of equilibrium operating points. The feedforward controller is firstly developed based on a linearised model at an above rated wind speed, and then expanded to the full above rated operational envelope by employing gain scheduling strategy. The combined feedforward and baseline feedback control is simulated on a 5 MW industrial wind turbine model. Simulation studies demonstrate that the proposed control strategy can improve the rotor and tower load reduction performance for large wind turbines.
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This work was supported by UK Engineering and Physical Sciences Research Council (EPSRC) Supergen Wind project (No. EP/N006224/1)
Recommended by Guest Editor Zhi-Jie Xu
Jie Bao received the B. Sc. and M. Sc. degrees in electronic and electrical engineering from the University of Strathclyde, UK in 2011 and 2012, respectively. He is currently a Ph. D. degree candidate at the same university.
His research interests include modelling and control of wind turbine systems with a focus on LIDAR-based technology in wind energy systems.
Hong Yue received the B. Eng. and M. Sc. degrees in process control engineering from Beijing University of Chemical Technology, Beijing, China in 1990 and 1993, respectively, and the Ph. D. degree in control theory and applications from East China University of Science and Technology, China in 1996. She is a senior lecturer at the Wind Energy and Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, UK.
Her research interests include modelling, control and optimization of complex systems including power and wind energy systems, process systems, biological and biochemical networks.
William E. Leithead received the B. Sc. degree in mathematical physics and the Ph. D. degree in theoretical physics from the University of Edinburgh, UK in 1971 and 1976, respectively. He is the head of the Wind Energy and Control Centre at the University of Strathclyde, UK. He is the director of the Engineering and Physical Sciences Research Council (EPSRC) for Doctoral Training in wind and marine energy systems, and is the chair of the EPSRC Supergen Wind Hub. He is a member of the European Energy Research Alliance Joint Programme Wind Steering Committee, the European Academy of Wind Energy Executive Committee, the Scientific Advisory Board of the Norwegian Centre for Offshore Wind Technology (Bergen), and is the deputy chair of the ORE Catapult Research Advisory Group. He has been awarded more than 60 research grants and is the author of more than 250 academic publications.
His research interests include control engineering and wind energy systems with particular focus on the conceptual design of wind turbines and wind turbine and farm control system design.
Ji-Qiang Wang received the B. Sc. degree in industrial engineering & management, both from Xi’an Jiaotong University, China in 2003, received the Ph.D. degree from the University of Sheffield, UK in 2008. He is currently an associate professor at Nanjing University of Aeronautics & Astronautics, China, after a research fellowship at the University of Strathclyde, UK in 2009.
His research interests include nonlinear control, vibration control and aircraft engine control.
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Bao, J., Yue, H., Leithead, W.E. et al. Feedforward Control for Wind Turbine Load Reduction with Pseudo-LIDAR Measurement. Int. J. Autom. Comput. 15, 142–155 (2018). https://doi.org/10.1007/s11633-017-1103-x
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DOI: https://doi.org/10.1007/s11633-017-1103-x