Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Lookup Table and Neural Network Hybrid Strategy for Wind Turbine Pitch Control
المؤلفون: Jesús Enrique Sierra-García, Matilde Santos
المصدر: Sustainability; Volume 13; Issue 6; Pages: 3235
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2021
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: pitch control, wind turbines, neural network, lookup table, hybrid, sustainability
جغرافية الموضوع: agris
الوصف: 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.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: https://dx.doi.org/10.3390/su13063235
DOI: 10.3390/su13063235
الاتاحة: https://doi.org/10.3390/su13063235
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.565C7163
قاعدة البيانات: BASE