Results 11 to 20 of about 205 (145)

A Survey of the Modeling of Switched Reluctance Machines and their Applications

open access: yesU.Porto Journal of Engineering, 2020
The main objective of modeling a switched reluctance machine is to derive a mathematical function to relate the outputs to the inputs. Due to the nonlinear relationship between the variables of torque, flux linkage, current and angular position of the ...
Ana Camila Ferreira Mamede   +2 more
doaj   +1 more source

Effect of variable conduction angle on the losses of switched reluctance machine

open access: yesMehran University Research Journal of Engineering and Technology, 2023
Switched Reluctance Machine (SRM) is the advanced version of the stepper motor and since last decade, it is of high interest among researchers and industrial applications. Modelling an SRM relies on accurate data and proper selection of parameters.
Anwer Ahmed Memon   +3 more
doaj   +1 more source

Design Optimization of a Switched Reluctance Machine with an Improved Segmental Rotor for Electric Vehicle Applications

open access: yesEnergies, 2022
In this article, a switched reluctance machine (SRM) with six phases and a misaligned segmental rotor is proposed. The segmental rotor has an internal 15-degree misalignment, allowing the SRM structure to be a one-layer 2D structure with a short flux ...
Yuanfeng Lan   +5 more
doaj   +1 more source

Σχεδίαση και έλεγχος ηλεκτρικών μηχανών μεταβλητής μαγνητικής αντίστασης (Switched Reluctance Machines – SRMs) [PDF]

open access: yes, 2021
Η προκειμένη διδακτορική διατριβή, που τιτλοφορείται «Σχεδίαση και Έλεγχος Ηλεκτρικών Μηχανών Μεταβλητής Μαγνητικής Αντίστασης (Switched Reluctance Machines - SRMs)», αποτελεί μια αναλυτική και ενδελεχή μελέτη επί της λειτουργίας και του ελέγχου των SRMs.
openaire   +1 more source

Advanced Design Optimization of Switched Reluctance Motors for Torque Improvement Using Supervised Learning Algorithm

open access: yesIEEE Access, 2023
Existing research on geometry optimization of switched reluctance motor (SRM) using machine learning algorithms has focused only on the machine’s static characteristics.
Mohamed Omar, Mohamed H. Bakr, Ali Emadi
doaj   +1 more source

Characteristics of switched reluctance motor operating in continuous and discontinuous conduction mode [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2013
This paper presents mechanical characteristics of Switched Reluctance Motor (SRM) when it operates in Discontinuous Conduction Mode (DCM) or in Continuous Conduction Mode (CCM), i.e.
Ćalasan Martin P., Vujičić Vladan P.
doaj   +1 more source

Multi-Physics Simulation of 6/4 Switched Reluctance Motor by Finite Element Method

open access: yesEletrônica de Potência, 2021
The switched reluctance motor (SRM) performance can be improved by either drive control and/or machine design. However, the drive control may be more complex and expensive depending on the SRM design, whereas a favorable SRM design may result in simpler
Renata R. C. Reis   +3 more
doaj   +1 more source

Development of a straight pole four-phase double-stator switched reluctance machine

open access: yesThe Journal of Engineering, 2019
This study introduces the development of the straight pole four-phase double-stator switched reluctance machine (SRM) which is considered to provide high torque density and low copper loss.
Yang Lu   +2 more
doaj   +1 more source

Acoustic Noise Reduction in an 8/6 Switched Reluctance Machine Using Structural Design

open access: yesEnergies, 2023
Today, switched reluctance motors (SRMs) represent a promising technology for the long-term sustainability of electrified transportation, mainly due to their simpler structure, lower production cost, and robust configuration compared to other motor ...
Francisco Juarez-Leon   +2 more
doaj   +1 more source

Torque Ripple Minimization of Variable Reluctance Motor Using Reinforcement Dual NNs Learning Architecture

open access: yesEnergies, 2023
The torque ripples in a switched reluctance motor (SRM) are minimized via an optimal adaptive dynamic regulator that is presented in this research. A novel reinforcement neural network learning approach based on machine learning is adopted to find the ...
Hamad Alharkan
doaj   +1 more source

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