Results 21 to 30 of about 418 (215)

A Torque Sharing Optimization Control Strategy for Switched Reluctance Motors [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban
Aiming at the problem of larger torque ripple of switched reluctance motors, a compensation cosine torque sharing optimization control strategy for switched reluctance motors was proposed by improving the traditional cosine torque sharing function. Based
LI Hongwei, LUO Hualin
doaj   +1 more source

Controlled Switched Reluctance Motors with Energy Capacitor

open access: yesEnergy Engineering and Control Systems, 2016
One of the most simple in terms of construction, the most practically feasible and reliable motors is a switched motor with salient-pole stator, concentrated coils and its winding and toothed passive rotor.
Vasyl Tkachuk   +3 more
doaj   +1 more source

Saliency Ratio-Based Torque Enhancement of Switched Reluctance Motors for Electric Bikes

open access: yesEnergies, 2023
Switched reluctance motors (SRMs) face challenges in achieving high performances in terms of the power factor, torque per ampere, and torque ripples. Although several parameters impact their performance, magnetic saliency has a significant impact.
Abdul Ghani   +2 more
doaj   +1 more source

Sensitivity Analysis for Multi-Objective Optimization of Switched Reluctance Motors

open access: yesMachines, 2022
The main issue of the switched reluctance motor (SRM) is its noise and vibration caused by high torque ripples on the rotor’s shaft. Many methods have been developed for improving the torque characteristic of the SRM.
Ekaterina Andriushchenko   +4 more
doaj   +1 more source

Traction SRM simulation taking into account the radial interaction of the rotor and stator [PDF]

open access: yesE3S Web of Conferences, 2023
The article presents the features of traction switched reluctance motors with a diametric closure of the magnetic flux and a “short field”. A computer simulation of a motor with a short field is performed for the ideal location of the rotor inside the ...
Tchavychalov Maxim, Yaitskova Natalya
doaj   +1 more source

A Numerical Method to Determine the Radial Electromagnetic Force of the Switched Reluctance Motor Under Air Gap Eccentricity

open access: yesMachines
This paper discusses a numerical model for determining the radial electromagnetic force of switched reluctance motors under air gap eccentricity (vertical and tilt eccentricities).
Tianji Ma   +3 more
doaj   +1 more source

Analysis and Simulation of Switched Reluctance Motor Driven Electric Vehicle by Field-Oriented Control

open access: yesJournal of Engineering Technology and Applied Physics
This paper analyses the performance of Electric Car for speed control of the switched reluctance motor. Closed loop speed control driven by field-oriented control (FOC) is applied for speed control.
Moe Moe, Soe Win
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

Review of Switched Reluctance Motor Converters and Torque Ripple Minimisation Techniques for Electric Vehicle Applications

open access: yesEnergies
This paper presents a review of the most common power converters and torque ripple minimisation approaches for switched reluctance motors (SRMs). Unlike conventional three-phase AC motors, namely squirrel cage induction motors and permanent magnet ...
Ali Abdel-Aziz   +2 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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