Hyperparameter Bayesian Optimization of Gaussian Process Regression Applied in Speed-Sensorless Predictive Torque Control of an Autonomous Wind Energy Conversion System

This paper introduces a novel approach to speed-sensorless predictive torque control (PTC) in an autonomous wind energy conversion system, specifically utilizing an asymmetric double star induction generator (ADSIG). To achieve accurate estimation of non-linear quantities, the Gaussian Process Regre...

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Bibliographic Details
Published in:	Energies Vol. 16; no. 12; p. 4738
Main Authors:	Hamoudi, Yanis, Amimeur, Hocine, Aouzellag, Djamal, Abdolrasol, Maher G. M., Ustun, Taha Selim
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2023
Subjects:	Algorithms Alternative energy sources Buildings and facilities Climate change Explicit knowledge Gaussian Process Regression Gaussian processes hyperparameter Bayesian optimization Machine learning Mathematical models Optimization predictive torque control predictive torque control; supervised learning algorithm; Gaussian Process Regression; sensorless speed control; hyperparameter Bayesian optimization sensorless speed control Sensors Simulation supervised learning algorithm T Technology Wind power
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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