Results 1 to 10 of about 4,327 (260)
An online torque sharing function (TSF) with instantaneous torque error compensation method for switched reluctance machines is proposed to maintain a minimized ripple operation.
Ufuk Genc, Burak Tekgun
doaj +6 more sources
A Non-Unity Torque Sharing Function for Torque Ripple Minimization of Switched Reluctance Generators in Wind Power Systems [PDF]
This paper deals with a new torque ripple minimization method for a Switched Reluctance Generator (SRG). Although, the SRG has many advantages including simple and robust construction, and high power density as a generator, it has not been widely ...
Hye-Ung Shin, Kiwoo Park, Kyo-Beum Lee
doaj +6 more sources
Improvement of the Torque-Speed Performance and Drive Efficiency in an SRM Using an Optimal Torque Sharing Function [PDF]
In this paper, by evaluating the extreme value of the qth-power current, a torque sharing function (TSF) family for reducing the torque ripples in the switched reluctance motor (SRM) is proposed.
Wei Ye, Qishuang Ma, Poming Zhang
doaj +6 more sources
Torque ripple is an inherent property of switched reluctance motor (SRM), which seriously affects the control performance and application of the motor. This paper proposes two torque ripple suppression control strategies based on torque-sharing function (
Tong Chen, Guoyang Cheng
doaj +5 more sources
Research on Novel Hybrid Torque Sharing Function for Switched Reluctance Motors
Torque Sharing Function (TSF) approach can be considered a promising method to solve the torque ripple issue in switched reluctance motors (SRMs) drives at low and medium speed ranges. However, at the high-speed operation of the machine, the actual phase
Fahad Al-Amyal, Laszlo Szamel
doaj +4 more sources
Torque sharing function (TSF)-based switched reluctance motor (SRM) control is an effective approach to minimize torque ripple and maximize efficiency.
Želmíra Ferková, Peter Bober
doaj +3 more sources
Abstract—This article presents a novel torque ripple minimization approach based on the genetic algorithm (GA) for the switched reluctance motor (SRM) drives.
Mithat Önder
exaly +2 more sources
Switched reluctance motors (SRMs) have recently gained notable interest in industrial applications. Yet, their inherent torque ripple poses a significant impediment, limiting the adoption of SRM in high-performance applications.
Laith Al Quraan +2 more
doaj +2 more sources
Torque sharing function control of switched reluctance machines with reduced current sensors [PDF]
This paper presents a Torque Sharing Function (TSF) control of Switched Reluctance Machines (SRMs) with different current sensor placements to reconstruct the phase currents.
Wei Peng +3 more
doaj +3 more sources
Reducing torque ripple for switched reluctance motors by current reshaping neural network [PDF]
The high torque ripple poses a limitation on the application of switched reluctance motors (SRMs). In this paper, a current reshaping neural network (CRNN) is proposed to mitigate the torque ripple.
Benqin Jing +3 more
doaj +2 more sources

