Improvement of Switched Reluctance Motor Performance Using Optimization Algorithms

被引：0
|
作者：
Dmitrievich, Petrushin Alexandr [1 ]
Viktorovich, Kashuba Alexandr [1 ]
机构：
[1] Rostov State Transport Univ, Elect Rolling Stock Chair, Rostov Na Donu, Russia
来源：
2018 X INTERNATIONAL CONFERENCE ON ELECTRICAL POWER DRIVE SYSTEMS (ICEPDS) | 2018年
关键词：
electric motor; optimization; magnetic cores; electric machines rotor; design for experiments; torque; Monte Carlo method;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the results of studies on the formation of the magnetic system of the rotor of a switched reluctance motor using Monte Carlo optimization method. The optimization criterion is chosen - the minimum of electromagnetic torque ripple. A comparative analysis of electromagnetic torque ripple for two variants of a rotor design is made. Experimental studies were carried out to obtaining the dependence of torque on rotor position for two variants of a rotor design: preproduction model rotor obtained as a result of optimization and rotor, designed without optimization
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页数：4
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