Title of article :
A dual-stator machine with diametrically magnetized PM: Analytical air-gap flux calculation, efficiency optimization, and comparison with conventional dual-stator machines
Author/Authors :
Asgari, Sh. Laboratory of Electrical Machines and Transformers Research -Department of Electrical Engineering - Amirkabir University of Technology, Tehran, Iran , Yazdanpanah, R. Department of Electrical Engineering - University of Larestan, Lar, Iran , Mirsalim, M. Laboratory of Electrical Machines and Transformers Research - Department of Electrical Engineering - Amirkabir University of Technology, Tehran, Iran
Pages :
9
From page :
208
To page :
216
Abstract :
This paper presents a design and optimization procedure for a dual-stator machine with a diametrically magnetized PM to improve the electromagnetic performance. First, analytical design equations are presented based on MEC analysis; they are used to design a basic dual-stator machine. Then, by applying an artificial intelligence algorithm, the machine is optimized to achieve high efficiency and torque density, and low pulsating torque for direct-drive applications. A quantitative comparison is performed between the optimized new machine and conventional dual-stator machines to evaluate the performances and improvements of the understudy machine. The machine performance, including air-gap flux density distribution, back electromotive force, electromagnetic torque, cogging torque, and torque ripple are analyzed by the finite element method. The analysis results have demonstrated that benefiting from its topology, the optimized dual-stator machine with diametrically magnetized PM has the comprehensively better performance, including higher torque density, higher efficiency, and lower torque ripple and cogging torque compared to conventional dual-stator machines.
Keywords :
analytical design , dual-stator , finite element method , optimization , PM machine , torque
Journal title :
Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
Serial Year :
2022
Record number :
2731377
Link To Document :
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