Results 21 to 30 of about 16,452 (169)

An Improved Model Predictive Voltage Control for PMSM Drives without Motor Parameters

CES Transactions on Electrical Machines and Systems
To address the performance degradation of permanent magnet synchronous motor (PMSM) drives caused by parameter mismatches between actual motor and ideal model in complex industrial environment, an improved model predictive voltage control (I-MPVC ...
Xiaoguang Zhang, Ruifang Chen
doaj   +1 more source

Speed Control of 6-Phase PMSM using Fuzzy Controllers [PDF]

E3S Web of Conferences
the article introduces a method for controlling the speed of a six-phase permanent magnet synchronous motor (PMSM) drive with the help of fuzzy logic controllers (FLCs).
Ravikumar N.V.A., Manoj Vasupalli, Kumar Yegireddy Narendra   +2 more
doaj   +1 more source

Influence of the number of turns on the performance of permanent magnet synchronous motor [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020
The current passed by the stator coil of the permanent magnet synchronous motor (PMSM) provides rotating magnetic field, and the number of turns will directly affect the performance of PMSM.
H. Qiu, Y. Zhang, C. Yang, R. Yi
doaj   +1 more source

ANALYSIS OF COGGING TORQUE REDUCTION FROM DESIGN COMPUTATIONAL PERMANENT MAGNET SYNCHRONOUS MOTOR WITH TAGUCHI METHOD

Rekayasa Mesin
Permanent Magnet Synchronous Motor (PMSM) applications include electric vehicles, industrial pumps, wind turbines, aerospace technology, and many others. In this study, cogging torque is the central aspect of the discussion, which is the motor model, the
Fitri Wahyuni, James Julian, Ferdyanto Ferdyanto, Ade Fikri Fauzi   +3 more
doaj   +1 more source

Analysis and Control of Chaos in Permanent Magnet Synchronous Motor

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2023
This paper explores the chaotic dynamics exhibited by a Permanent Magnet Synchronous Motors (PMSM) through an analysis of Lyapunov exponents and equilibrium points.
Yılmaz Uyaroğlu, Abdallah Moussa Yaya
doaj   +1 more source

Review of recent trends of advancements in multilevel inverter topologies with reduced power switches and control techniques

IET Power Electronics, EarlyView.
Some of the topologies with a fewer number of power switches are reviewed and scrutinized. An extensive analysis of the topologies, control strategy and applications are presented here, suggesting suitable multilevel inverter solutions to the known industrial application or new research.
Anurag Choudhary, Rohit Kumar, Shimi Sudha Letha, Farhad Ilahi Bakhsh, Arshdeep Singh, Mohammad Junaid Khan   +5 more
wiley   +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

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

Study of Excitation Characteristics of Traction Machine/Drive Systems

Energies, 2019
In order to accurately evaluate the performance of a traction machine/drive system, it is necessary to have an accurate excitation source which considers current harmonics.
Wenying Jiang, Qiqi Guo, Zhen Zhang
doaj   +1 more source