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Design Optimization of a 4-Poled 1500 rpm 25 kVA SG to Obtain the Desired Magnetic Flux Density Distributions by using RSM

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Title Design Optimization of a 4-Poled 1500 rpm 25 kVA SG to Obtain the Desired Magnetic Flux Density Distributions by using RSM
 
Creator Karaoglan, Aslan Deniz
Perin, Deniz
 
Subject Electric machine design
Genetic algorithm
Regression
Response surface methodology
Synchronous generator
 
Description 84-93
In this study design optimization for 4-poled 1500 rpm 25 kVA synchronous generator (SG) is performed. The aim is to
determine the optimum factor levels for the design parameters namely slot opening width (Bs0), height, and width to keep
the responses namely ‘pole-body flux density’ and ‘air-gap flux density’ distributions in a desired range. The target values
are determined as 1.75 Tesla and 0.9 Tesla for the ‘pole-body flux density’ and ‘air-gap flux density’ respectively. For this
purpose, Response Surface Methodology (RSM) is used for optimization. Numerical simulations are performed in the
Maxwell environment and the optimization by RSM is performed by Minitab statistical package. Desired goals were
achieved and optimum factor levels were determined with RSM. Then the results of RSM are compared by Genetic
Algorithm (GA), Particle Swarm Optimization algorithm (PSO), and Modified Social Group Optimization (MSGO)
algorithm. These methods are evaluated together in terms of advantages and disadvantages. The comparisons indicate that
using RSM provides acceptable results without performing coding effort and also provides users to understand the relations
visually between the factors and the responses by the aid of ‘Minitab Response Optimizer Module’.
 
Date 2022-01-07T09:36:28Z
2022-01-07T09:36:28Z
2022-01
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/58869
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.81(01) [January 2022]