Results 51 to 60 of about 3,122 (188)

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

Comparative Thermal Performance Analysis of Induction and Interior Permanent Magnet Machines for Electric Vehicles Under Varying Drive Cycles Using ANSYS Motor‐CAD Software: Approach Toward Sustainability

Engineering Reports, Volume 8, Issue 2, February 2026.
Thermal analysis of machines. ABSTRACT A comparative thermal performance study is carried out on an induction machine (IM) and an interior permanent magnet synchronous machine (i‐PMSM) for electric vehicle applications under the standardized Highway Fuel Economy Test (HWFET) and Worldwide Harmonized Light Vehicles Test Procedure (WLTP) Class 3 drive ...
R. Prasanna, S. Raja, Maher Ali Rusho, Shubham Sharma, T. Ramachandran, Krishna Prakash Arunachalam, Ghanshyam G. Tejani, Huda Fish   +7 more
wiley   +1 more source

Sensorless Control of a PMSM Drive Using EKF for Wide Speed Range Supplied by MPPT Based Solar PV System

Elektronika ir Elektrotechnika, 2020
In photovoltaic (PV) applications, employing Surface-Mounted Permanent Magnet Synchronous Motor (SMPMSM) can be a suitable option, especially for solar pumping and Heating, Ventilation, and Air Conditioning (HVAC) applications.
Abbas Mahmood Oghor Anwer, Fuad Alhaj Omar, Hale Bakir, Ahmet Afsin Kulaksiz   +3 more
doaj   +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

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

Concurrency Frameworks for Embedded Systems: A Comparative Evaluation of FreeRTOS, RTIC, and Embassy

IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.
This paper presents a quantitative and qualitative comparison of three concurrency frameworks for embedded real‐time systems: the C‐based FreeRTOS kernel and the rust‐based real‐time interrupt‐driven concurrency (RTIC) and Embassy frameworks. All three frameworks are implemented on an STM32F3 ARM Cortex‐M4 platform using three representative ...
Guoping Wang, Giovanni Battista Gaggero
wiley   +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

Self-Sensing Control of PMSM at Zero and Low Speed

Communications, 2018
The paper deals with control of Permanent Magnet Synchronous Motor (PMSM) without a rotor position sensor. In the low and zero speed region, the rotor saliencies are utilized to obtain the information about the rotor position.
Simon Zossak, Marek Stulrajter, Pavol Makys   +2 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