Results 41 to 50 of about 11,338 (229)

Performance Evaluation of Direct Torque Control with Permanent Magnet Synchronous Motor [PDF]

open access: yes, 2012
The direct torque control theory has achieved great success in the control of permanent magnet synchronous motor. A Direct Torque Control (DTC) scheme of Permanent Magnet Synchronous Motor (PMSM) is presented.
Singh, B. (Bindeshwar)
core  

Design of permanent magnets to chaoize PM synchronous motors for industrial mixers [PDF]

open access: yes, 2005
In this paper, the permanent magnet synchronous motor (PMSM) is used as the agitator because of its inherent advantages of high power density, high efficiency and maintenance-free operation.
Chau, KT, Ye, S
core   +1 more source

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

open access: yesIET 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   +5 more
wiley   +1 more source

Efficiency Optimization of PMSM-Type Elevator Machine: An Industrial Comparison

open access: yesMachines
This study presents the design, modeling, and prototyping of an external rotor permanent magnet synchronous motor (ER-PMSM) specifically for elevator traction systems.
Mucahit Soyaslan   +5 more
doaj   +1 more source

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

open access: yesArchives 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   +2 more
doaj   +1 more source

Online Adaptation of Data‐Driven Controllers for Unknown Nonlinear Systems

open access: yesInternational 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   +2 more
wiley   +1 more source

Production of biogas using biomass [PDF]

open access: yes, 2020
There is a great deal of environment pressure in many parts of the world to as certain how livestock waste can best be handled. Livestock manure, like cow dung, food waste, kitchen waste in the absence of appropriate disposal methods can cause adverse ...
Ananthan, Kesavan   +3 more
core  

Open loop control of a stepping motor with step loss detection and stall detection using back-EMF based load angle estimation [PDF]

open access: yes, 2014
Stepping motors are the most used electrical machines for low power positioning. The drive controls the machine so that the rotor performs a fixed angular displacement after each step command pulse.
Derammelaere, Stijn   +2 more
core   +1 more source

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

open access: yesInternational 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   +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

open access: yesIET 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   +4 more
wiley   +1 more source

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