Results 71 to 80 of about 12,534 (231)

Direct Torque Control in Series-End Winding PMSM Drives

, 2022
This paper provides a preliminary study of promoting the direct torque control (DTC) to series-end winding permanent magnet synchronous motor (SW-PMSM) drives.
Dong, Zhiping, Liu, Chunhua, Zhao, Hang, Wen, Hao   +3 more
core   +1 more source

Online Adaptation of Data‐Driven Controllers for Unknown Nonlinear Systems

International Journal of Robust and Nonlinear Control, Volume 36, Issue 3, Page 1086-1095, February 2026.
ABSTRACT This paper considers data‐driven online control of input‐affine nonlinear systems. By resorting to a data‐based closed‐loop time‐varying system representation, we derive data‐based online semi‐definite programs that are computed along the system's trajectory.
Xiaoyan Dai, Claudio De Persis, Nima Monshizadeh   +2 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 1, Page 2-26, January 2026.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Permanent Magnet Temperature Estimation for PMSMs Using Virtual Position-Offset Injection

CES Transactions on Electrical Machines and Systems
This paper proposes a virtual position-offset injection based permanent magnet temperature estimation approach for permanent magnet synchronous machines (PMSMs).
Beichen Ding, Yuting Lu, Kaide Huang, Guodong Feng, Chunyan Lai   +4 more
doaj   +1 more source

Effective Variable‐Speed Bearing Fault Diagnosis From Motor Current Signals Using Kurtosis‐Guided VMD and Multi‐Branch Convolutional Neural Network

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli, Mounir Djeddi, Aissa Kheldoun, Nima Khosravi, Adel Oubelaid   +4 more
wiley   +1 more source

Performance analysis and comparison of PMSM with concentrated winding and distributed winding

Archives of Electrical Engineering, 2020
The concentrated winding (CW) is obviously different from the traditional distributed winding (DW) in the arrangement of windings and the calculation of winding factors, which will inevitably lead to different performances of the permanent magnet ...
Hongbo Qiu, Yong Zhang, Cunxiang Yang, Ran Yi   +3 more
doaj   +1 more source

LPV Control for speed of permanent magnet synchronous motor (PMSM) with PWM Inverter [PDF]

Journal of Electrical and Computer Engineering Innovations, 2016
This paper deals with the modeling, analysis, design and simulation of a robust control method for a permanent magnet synchronous machine (PMSM) supplied with a PWM inverter based on a LPV (Linear Parameter Variation)  standard controller.
M.R. Alizadeh Pahlavani, H. Damroodi
doaj   +1 more source

A Comparative Investigation of the Performance of Vernier Generators With Open‐Slot and Split‐Tooth Stator Configurations With a Focus on Improving Torque Ripple and Power Factor

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
This research is presented in the field of design of outer rotor permanent magnet vernier generators with a performance comparison approach between open slot and split tooth stator structures with the aim of reducing cogging torque ripple and improving power factor.
Omid Maktabdar, Mohammadreza Besmi, Mojtaba Tahani   +2 more
wiley   +1 more source

Multi-Objective Optimal Design of Permanent Magnet Synchronous Motor for Electric Vehicle Based on Deep Learning

Applied Sciences, 2020
Recently, a large amount of research on deep learning has been conducted. Related studies have also begun to apply deep learning techniques to the field of electric machines, but such studies have been limited to the field of fault diagnosis.
Yong-min You
doaj   +1 more source

A Study on the Down‐Scaling of Transient Drive Cycles for Experimental Analyses With Laboratory Based Small Motors

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
A new down‐scaling method for the laboratory based analysis of transient drive cycles is proposed and analysed. In contrast to the typically used dimensionless per unit steady‐state operating‐point based scaling methods, this approach also considers information on the cycles' transient characteristics in the scaling process. ABSTRACT Standardised drive
Pawan Kumar Dhakal, Kourosh Heidarikani, Roland Seebacher, Annette Muetze   +3 more
wiley   +1 more source