Results 41 to 50 of about 1,510 (219)

An Image‐to‐Image Translation Model for Ultra‐Fast Performance Prediction of Permanent Magnet Synchronous Machines

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
This study presents a cGAN‐based I2I model for predicting the magnetic performance of an IPMSM. The model predicts the magnetic flux density distributions from cross‐sectional images of IPMSMs, incorporating varying geometric parameters, pole‐slot number combinations and current densities.
Mengyu Cheng, Xing Zhao, Guangjin Li
wiley   +1 more source

Adaptively Adjustable Control Compensation With a Decoupling Basis for Current Control of All Parametric Variations’ IPMSM

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
Through the integration of simple decoupling terms, self‐tuning proportional gains, and compensation control, both excellent transient and steady‐state current responses of the IPMSM are achieved, which are further evaluated and compared under all parametric variations.
Shin‐Hung Chang, Yi‐Cheng Huang, Po‐Cheng Hung   +2 more
wiley   +1 more source

Multi-objective Hierarchical Optimization of Interior Permanent Magnet Synchronous Machines Based on Rotor Surface Modification

CES Transactions on Electrical Machines and Systems, 2022
To solve the problem of large torque ripple of interior permanent magnet synchronous motor (IPMSM), the rotor surface notch design method was used for V-type IPMSM.
Ran Xu, Wenming Tong
doaj   +1 more source

Reduction of Torque Ripple in Permanent Magnet Synchronous Motors for Electric Vehicles Using Enhanced Dwarf Mongoose Optimisation and a Supervised Attention‐Based Multi‐Scale Temporal Convolutional Network

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
In this paper, a new hybrid method named IDMO‐SAMTCN is introduced to reduce torque ripple in Permanent Magnet Synchronous Motors (PMSMs) used in electric vehicles. The method merges an Improved Dwarf Mongoose Optimisation algorithm for tuning PI controller parameters with a Supervised Attention‐based Multi‐scale Temporal Convolutional Network for ...
Vidyalakshmi Ravichandran, Manoharan Subramanium, Isaac JoshuaRamesh Lalvani Joshua Stephen Chellakumar   +2 more
wiley   +1 more source

Integrated Traction and Guidance Control of Independently Rotating Wheelsets in Urban Rail Vehicles Using Flux‐Map‐Based Torque Reference Generation

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
Independently rotating wheelsets require accurate realization of traction and differential wheel torques under electrical constraints. This paper proposes a hierarchical control framework combining speed PI and LQ‐servo lateral guidance with scaling‐based torque allocation and a flux‐map current reference generator that accounts for DC‐link voltage ...
Hanwoong Ahn, Hyun‐Jong Park, Ho‐Joon Lee   +2 more
wiley   +1 more source

Heat Transfer Research and Optimisation of Spray Oil Cooling System for IPMSM in EVs

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
To enhance cooling efficiency in high‐power‐density electric vehicle motors, this study proposes a novel triple‐spray oil cooling structure for winding ends. Using CFD‐thermal coupling and SPEA‐II‐based multi‐objective optimisation, the optimised design reduced maximum motor temperatures by 10%–20% under rated and peak speeds, validated through ...
Jingjuan Du, Wei Zhang, Ke Li, Jian Zhao, Xiaoyuan Wang, Mingzuo Tan   +5 more
wiley   +1 more source

Transfer Learning Enhanced Model for Performance Prediction of Electrical Machines

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
This study demonstrates the effectiveness of transfer learning for accurately and efficiently predicting the magnetic flux density distribution in IPMSMs with diverse topologies. Compared to training conditional generative models from scratch, transfer learning significantly reduces both data requirements and total training time, while achieving ...
Mengyu Cheng, Xing Zhao, Chao Gong
wiley   +1 more source

Varied Switching Frequency PWM Method for Adjustable Maximum Output Voltage High‐Speed IPMSM Drive Systems

IET Power Electronics, Volume 19, Issue 1, January/December 2026.
This paper investigates the comparisons of high‐speed flux‐weakening control using two different overmodulation PWM methods: a fixed switching frequency over‐modulation PWM and a variable frequency over‐modulation PWM. Experimental results show that the variable frequency over‐modulation PWM can obtain better performance.
Tian‐Hua Liu, Chia‐You Chang, Woei‐Luen Chen   +2 more
wiley   +1 more source

Dynamic and steady state performance comparison of line-start permanent magnet synchronous motors with interior and surface rotor magnets

Archives of Electrical Engineering, 2016
A comprehensive comparison of the dynamic and steady state performance characteristics of permanent magnet synchronous motors (PMSM) with interior and surface rotor magnets for line-start operation is presented.
Ogbuka Cosmas, Nwosu Cajethan, Agu Marcel   +2 more
doaj   +1 more source

Optimization of Torque Ripples in an Interior Permanent Magnet Synchronous Motor Based on the Orthogonal Experimental Method and MIGA and RBF Neural Networks

IEEE Access, 2020
Interior permanent magnet synchronous motors (IPMSMs) have high power densities and speed control performance, and they are widely used in the industry.
Jinshun Hao, Shuangfu Suo, Yiyong Yang, Yang Wang, Wenjie Wang, Xiaolong Chen   +5 more
doaj   +1 more source