IMPROVEMENT OF THE DESIGN ALGORITHM OF SWITCHED-RELUCTANCE MACHINES-Reference-Cited by-同舟云学术

IMPROVEMENT OF THE DESIGN ALGORITHM OF SWITCHED-RELUCTANCE MACHINES

Published:2021-09-29 Issue:3 Volume: Page:140-155
ISSN:1810-1909
Container-title:Vestnik Chuvashskogo universiteta
language:
Short-container-title:Vestn. Čuv. univ.

Author:

Shevkunova Anastasiya V.¹^ORCID,Kashuba Alexandr V.¹^ORCID

Affiliation:

1. Rostov State Transport University

Abstract

The issue of improving the technical and economic indicators of switched-reluctance machines at the stage of their design has a significant degree of relevance. This study is devoted to improving the optimization algorithm for designing electric machines of the valve-inductor type. Parametric, single-criteria optimization was subject to consideration. The task of designing a magnetic system of a switched-reluctance machine is to find the optimal combination of values of geometric parameters, at which the value of the objective function reaches an extremum. Within the framework of this work, optimization was considered by the criterion of the minimum pulsations of the electromagnetic moment at low rotational speeds. The stochastic method – the Monte-Carlo method – was used as the basis for making changes to improve the efficiency of the optimization algorithm. The essence of the changes is to apply a normal distribution of a random variable with decreasing variance and with a variable value of the mathematical expectation instead of using a uniform distribution. For this study, methods of mathematical modeling were used, namely the Monte-Carlo method and methods of probability theory. Calculations of the magnetic field of the switched-reluctance machine were performed using the FEMM 4.2 program based on the finite element method. Due to the changes made to the basic optimization algorithm, the effectiveness of such a criterion as the time to achieve the final result with a given calculation accuracy has become higher. The obtained data can be practically useful in the development of manufacturing technology for the object of optimization.

Publisher

I.N. Ulianov Chuvash State University

Link

https://www.chuvsu.ru/wp-content/uploads/2021/09/vchu_2021_3_140-155.pdf

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