Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors

The permanent magnet synchronous motor (PMSM) is currently used in advanced electric drive systems of industrial robots, machine tools, electric cars and many others. These complex systems require a precise control of the position and speed of the actuated mechanisms, which presumes the use of the a...

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Main Author: SPOIALA Viorica
Format: Article
Language:English
Published: Editura Universităţii din Oradea 2025-05-01
Series:Journal of Electrical and Electronics Engineering
Subjects:
Online Access:https://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V18_N1_MAY_2025/08%20paper%202503092%20SPOIALA.pdf
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author SPOIALA Viorica
author_facet SPOIALA Viorica
author_sort SPOIALA Viorica
collection DOAJ
description The permanent magnet synchronous motor (PMSM) is currently used in advanced electric drive systems of industrial robots, machine tools, electric cars and many others. These complex systems require a precise control of the position and speed of the actuated mechanisms, which presumes the use of the advanced algorithms in this regard. This article presents modern methods such as machine learning, neural networks for controlling the operation of the PMSM motor, which are simulated in a 3D crane system control.
format Article
id doaj-art-a5fe0b3781734f7bb33b4f599da91b82
institution Kabale University
issn 1844-6035
2067-2128
language English
publishDate 2025-05-01
publisher Editura Universităţii din Oradea
record_format Article
series Journal of Electrical and Electronics Engineering
spelling doaj-art-a5fe0b3781734f7bb33b4f599da91b822025-08-20T03:51:19ZengEditura Universităţii din OradeaJournal of Electrical and Electronics Engineering1844-60352067-21282025-05-011814348Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM MotorsSPOIALA Viorica0University of Oradea, RomaniaThe permanent magnet synchronous motor (PMSM) is currently used in advanced electric drive systems of industrial robots, machine tools, electric cars and many others. These complex systems require a precise control of the position and speed of the actuated mechanisms, which presumes the use of the advanced algorithms in this regard. This article presents modern methods such as machine learning, neural networks for controlling the operation of the PMSM motor, which are simulated in a 3D crane system control.https://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V18_N1_MAY_2025/08%20paper%202503092%20SPOIALA.pdfpmsmelectric drivemachine learningneural network
spellingShingle SPOIALA Viorica
Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors
Journal of Electrical and Electronics Engineering
pmsm
electric drive
machine learning
neural network
title Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors
title_full Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors
title_fullStr Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors
title_full_unstemmed Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors
title_short Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors
title_sort advanced methods used for the position and speed control of the electrical drives with pmsm motors
topic pmsm
electric drive
machine learning
neural network
url https://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V18_N1_MAY_2025/08%20paper%202503092%20SPOIALA.pdf
work_keys_str_mv AT spoialaviorica advancedmethodsusedforthepositionandspeedcontroloftheelectricaldriveswithpmsmmotors