Results 31 to 40 of about 320,928 (293)

Torque ripple minimization of a switched reluctance motor [PDF]

open access: yesProceedings of 1995 IEEE Applied Power Electronics Conference and Exposition - APEC'95, 1995
This paper presents a simple technique to minimize torque ripple of a switched reluctance motor. The technique is based on the control of the sum of the square of the phase currents by using only two current sensors and analog multipliers. The simulation results and a proposed circuit are given.
BILGIC, MO, OZBULUR, V, SABANOVIC, A
openaire   +3 more sources

ALGORITHMS OF FAULT-TOLERANT SENSORLESS VECTOR CONTROL OF SWITCHED-RELUCTANCE MOTOR IN ELECTRICAL OIL PUMP

open access: yesИзвестия Томского политехнического университета: Инжиниринг георесурсов, 2020
The relevance. Russian oil and gas industry today is one of the fastest growing in the country. High rates of development suggest introduction of new technologies and significant modernization of technological complexes that make up the production base ...
Georgy I. Odnokopylov, Ivan A. Rozaev
doaj   +1 more source

Faults and unbalance forces in the switched reluctance machine [PDF]

open access: yes, 1995
The paper identifies and analyzes a number of severe fault conditions that can occur in the switched reluctance machine, from the electrical and mechanical points of view.
Miller, T.J.E.
core   +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

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

Modeling of switched-reluctance drive in emergency operation

open access: yesИзвестия Томского политехнического университета: Инжиниринг георесурсов, 2009
The authors have considered in MatLab Simulink the simulation model of one- and two-section switched reluctance drive operating in hazardous industrial mechanisms.
G. I. Odnokopylov, I. A. Rozayev
doaj   +2 more sources

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

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

Torque control of switched reluctance motors [PDF]

open access: yes, 2011
This paper presents the performance of an instantaneous torque control method. The simulation and experimental results illustrate the capability of Switched Reluctance Motors (SRM) being used in the motor drive industry. Based on experimental data, the
Morón Fernández, Carlos   +3 more
core  

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

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