Results 31 to 40 of about 205 (145)

Numerical Investigation on Vibration Performance of an Improved Switched Reluctance Machine with Double Auxiliary Slots

Shock and Vibration, 2021
Considerable vibration and acoustic noise limit the further application of Switched Reluctance Machine (SRM) due to its structural characteristics and working principle.
Zhengyuan Gao, Shanming Wang, Zhiguo An, Pengfei Sun   +3 more
doaj   +1 more source

Finite Element Based Overall Optimization of Switched Reluctance Motor Using Multi-Objective Genetic Algorithm (NSGA-II)

Mathematics, 2021
The design of switched reluctance motor (SRM) is considered a complex problem to be solved using conventional design techniques. This is due to the large number of design parameters that should be considered during the design process.
Mohamed El-Nemr, Mohamed Afifi, Hegazy Rezk, Mohamed Ibrahim   +3 more
doaj   +1 more source

Modelling and design optimization of switched reluctance motors based on machine learning methods: Review

Franklin Open
Accurate modelling of Switched Reluctance Motors (SRM) is a complex and time consuming task that involves a lot of tradeoffs and assumptions. Numerical and analytical modelling techniques have been extensively used in literature.
Jackson Oloo, Laszlo Szamel
doaj   +1 more source

Hybrid Inverters With Dual Switching Frequencies for Switched Reluctance Motors

Energy Science &Engineering, EarlyView.
A hybrid dual‐switching‐frequency inverter for SRMs is proposed, combining SiC and IGBT devices based on rotor inductance. The method enables accurate current tracking with simple hysteresis control, significantly reducing torque ripple, vibration, and acoustic noise while cutting inverter cost compared to full‐SiC solutions.
Fares S. El‐Faouri, Majd G. Batarseh, Hamzeh J. Jaber, Ayman Faza, Wejdan Abu Elhaija   +4 more
wiley   +1 more source

Genetic Algorithm-Based Commutation Angle Control for Torque Ripple Mitigation in Switched Reluctance Motor Drives

IEEE Access, 2023
This work addresses the application of the Genetic Algorithm (GA) technique to optimize the commutation angles of a 2 kW 8/6 switched reluctance machine (SRM). The primary goal is to reduce the well-known drawback of SRMs: the torque ripple. Firstly, the
Renata Rezende C. Reis, Marcio L. Magri Kimpara, Luigi Galotto, Joao Onofre Pereira Pinto   +3 more
doaj   +1 more source

Comparative Thermal Performance Analysis of Induction and Interior Permanent Magnet Machines for Electric Vehicles Under Varying Drive Cycles Using ANSYS Motor‐CAD Software: Approach Toward Sustainability

Engineering Reports, Volume 8, Issue 2, February 2026.
Thermal analysis of machines. ABSTRACT A comparative thermal performance study is carried out on an induction machine (IM) and an interior permanent magnet synchronous machine (i‐PMSM) for electric vehicle applications under the standardized Highway Fuel Economy Test (HWFET) and Worldwide Harmonized Light Vehicles Test Procedure (WLTP) Class 3 drive ...
R. Prasanna, S. Raja, Maher Ali Rusho, Shubham Sharma, T. Ramachandran, Krishna Prakash Arunachalam, Ghanshyam G. Tejani, Huda Fish   +7 more
wiley   +1 more source

Radial Force Density Calculation of Switched Reluctance Machines Using Reluctance Mesh-Based Magnetic Equivalent Circuit

IEEE Open Journal of the Industrial Electronics Society, 2022
Acoustic noise and vibration is one of the shortcomings of a switched reluctance machine (SRM). Harmonics of the radial force waveform in the airgap excite the stator structure at different vibration modes with specific frequencies.
Gayan Watthewaduge, Berker Bilgin
doaj   +1 more source

Review of the Challenges and Prospects in Agrivoltaics

Advanced Energy and Sustainability Research, Volume 7, Issue 1, January 2026.
This articles reviews the recent prospects of agri‐photovoltaics (agri‐PV) across continents. The existing standards and pilot projects to standardize new codes and regulations are discussed. The state‐of‐the‐art agri‐PV scheme's benefits and lackings are presented. Community acceptance and policy barriers are also discussed where prospective solutions
Tanvir M. Mahim, M. Mosaddequr Rahman, A. S. Nazmul Huda   +2 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

IET 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, Mounir Djeddi, Aissa Kheldoun, Nima Khosravi, Adel Oubelaid   +4 more
wiley   +1 more source

Experimental Method of Determining the Equivalent Circuit Parameters of a Switched Reluctance Machine

Advances in Electrical and Computer Engineering, 2015
This paper presents an equivalent-circuit-based method to experimentally determine the phase inductance and the iron-loss resistance of a switched reluctance machine (SRM).
VUKADINOVIC, D., GRBIN, S., BASIC, M.
doaj   +1 more source