Design of machine learning-based controllers for speed control of PMSM drive

This study presents machine learning (ML)-based controllers for a surface permanent magnet synchronous motor (PMSM) drive system. The ML-based regression techniques like linear regression (LR), support vector machine regression (SVM), feedforward neural network (NN) and advanced NN like Long Short-T...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 17826 - 24
Hauptverfasser:	Tom, Ashly Mary, Daya, J. L. Febin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 22.05.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166 639/166/987 639/705/794 Algorithms Control algorithms Controllers Humanities and Social Sciences Learning algorithms Long short-term memory Long short-term memory network Machine learning Machine learning (ML) multidisciplinary Neural network Neural networks Permanent magnet synchronous motor (PMSM) Science Science (multidisciplinary) Vector control Controllers Long short-term memory network Machine learning (ML) Neural network Vector control Permanent magnet synchronous motor (PMSM)
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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