Results 41 to 50 of about 10,075 (229)

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

Performance optimization in switched reluctance motor drives

, 2011
In this paper, switched reluctance motors (SRM) are proposed as an alternative for electric power assisted steering (EPAS) applications. A prototype machine has been developed as very attractive design for a steering electric motor, both from a cost ...
Morón Fernández, Carlos, Enrique Tremps, Jose Andrés Somolinos, Carlos Morón, Puerto Ramirez, Somolinos Sánchez, José Andrés, Tremps Guerra, Enrique, García García, Alfonso, Ramírez Fernández, M. Puerto, Alfonso Garcia   +9 more
core   +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

Critical review of converter topologies for switched reluctance motor drives [PDF]

, 2007
This paper represents an overall literature review of SRM convenient drive circuit topologies with the proposal of a new topology utilizing switched capacitance circuit.
Elwakil, ES, Darwish, MK
core  

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

Force Analysis and Torque Production of the Doubly Salient Parallel Path Magnetic Machine

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
This paper presents an in‐depth mathematical analysis of torque and force production mechanisms in the Doubly Salient Parallel Path Magnetic Motor (DS‐PPMM). Electromagnetic force distribution, torque ripple characteristics and the contributions of magnetic salience are analysed through analytical modelling and verified by finite element analysis.
Maryam Salehi, Madhav Manjrekar
wiley   +1 more source

Research on Optimization Regulation Method of Ampere Density and Coil Space Factor for Switched Reluctance Machine

, 2014
This paper presents an optimized regulation method on ampere density and coil space factor of switched-reluctance machine (SRM). These two factors are crucial and have significant influence on the performances of SRMs such as the electromagnetic torque ...
Zhao, Fei, Chi Zhang, Chen, Jinhua, Fei Zhao Ningbo, Sun, P, Jinhua Chen, Zhang, Chi, Peng Sun, Sun, Peng   +8 more
core   +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

Multi-Objective Optimization of Switched Reluctance Machine Design Using Jaya Algorithm (MO-Jaya)

Mathematics, 2021
The switched reluctance machine (SRM) design is different from the design of most of other machines. SRM has many design parameters that have non-linear relationships with the performance indices (i.e., average torque, efficiency, and so forth).
M. Afifi, Hegazy Rezk, M. Ibrahim, Mohamed K. El-Nemr   +3 more
semanticscholar   +1 more source

Reduction of Torque Ripple in Permanent Magnet Synchronous Motors for Electric Vehicles Using Enhanced Dwarf Mongoose Optimisation and a Supervised Attention‐Based Multi‐Scale Temporal Convolutional Network

IET Electric Power Applications, Volume 20, Issue 1, January/December 2026.
In this paper, a new hybrid method named IDMO‐SAMTCN is introduced to reduce torque ripple in Permanent Magnet Synchronous Motors (PMSMs) used in electric vehicles. The method merges an Improved Dwarf Mongoose Optimisation algorithm for tuning PI controller parameters with a Supervised Attention‐based Multi‐scale Temporal Convolutional Network for ...
Vidyalakshmi Ravichandran, Manoharan Subramanium, Isaac JoshuaRamesh Lalvani Joshua Stephen Chellakumar   +2 more
wiley   +1 more source