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Article

Lookup Table and Neural Network Hybrid Strategy for Wind Turbine Pitch Control

1
Electromechanical Engineering Department, University of Burgos, 09006 Burgos, Spain
2
Institute of Knowledge Technology, Complutense University of Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Sustainability 2021, 13(6), 3235; https://doi.org/10.3390/su13063235
Received: 28 December 2020 / Revised: 11 March 2021 / Accepted: 12 March 2021 / Published: 15 March 2021
Wind energy plays a key role in the sustainability of the worldwide energy system. It is forecasted to be the main source of energy supply by 2050. However, for this prediction to become reality, there are still technological challenges to be addressed. One of them is the control of the wind turbine in order to improve its energy efficiency. In this work, a new hybrid pitch-control strategy is proposed that combines a lookup table and a neural network. The table and the RBF neural network complement each other. The neural network learns to compensate for the errors in the mapping function implemented by the lookup table, and in turn, the table facilitates the learning of the neural network. This synergy of techniques provides better results than if the techniques were applied individually. Furthermore, it is shown how the neural network is able to control the pitch even if the lookup table is poorly designed. The operation of the proposed control strategy is compared with the neural control without the table, with a PID regulator, and with the combination of the PID and the lookup table. In all cases, the proposed hybrid control strategy achieves better results in terms of output power error. View Full-Text
Keywords: pitch control; wind turbines; neural network; lookup table; hybrid; sustainability pitch control; wind turbines; neural network; lookup table; hybrid; sustainability
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MDPI and ACS Style

Sierra-García, J.E.; Santos, M. Lookup Table and Neural Network Hybrid Strategy for Wind Turbine Pitch Control. Sustainability 2021, 13, 3235. https://doi.org/10.3390/su13063235

AMA Style

Sierra-García JE, Santos M. Lookup Table and Neural Network Hybrid Strategy for Wind Turbine Pitch Control. Sustainability. 2021; 13(6):3235. https://doi.org/10.3390/su13063235

Chicago/Turabian Style

Sierra-García, Jesús Enrique, and Matilde Santos. 2021. "Lookup Table and Neural Network Hybrid Strategy for Wind Turbine Pitch Control" Sustainability 13, no. 6: 3235. https://doi.org/10.3390/su13063235

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