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Title: Analytical Model-Based Design Optimization of a Transverse Flux Machine

Abstract

This paper proposes an analytical machine design tool using magnetic equivalent circuit (MEC)-based particle swarm optimization (PSO) for a double-sided, flux-concentrating transverse flux machine (TFM). The magnetic equivalent circuit method is applied to analytically establish the relationship between the design objective and the input variables of prospective TFM designs. This is computationally less intensive and more time efficient than finite element solvers. A PSO algorithm is then used to design a machine with the highest torque density within the specified power range along with some geometric design constraints. The stator pole length, magnet length, and rotor thickness are the variables that define the optimization search space. Finite element analysis (FEA) was carried out to verify the performance of the MEC-PSO optimized machine. The proposed analytical design tool helps save computation time by at least 50% when compared to commercial FEA-based optimization programs, with results found to be in agreement with less than 5% error.

Authors:
; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1351847
Report Number(s):
NREL/CP-5D00-66389
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 18-22 September 2016, Milwaukee, Wisconsin
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; transverse flux machine; TFM; magnetic equivalent circuit; MEC; particle swarm optimization; PSO

Citation Formats

Hasan, Iftekhar, Husain, Tausif, Sozer, Yilmaz, Husain, Iqbal, and Muljadi, Eduard. Analytical Model-Based Design Optimization of a Transverse Flux Machine. United States: N. p., 2017. Web. doi:10.1109/ECCE.2016.7854881.
Hasan, Iftekhar, Husain, Tausif, Sozer, Yilmaz, Husain, Iqbal, & Muljadi, Eduard. Analytical Model-Based Design Optimization of a Transverse Flux Machine. United States. doi:10.1109/ECCE.2016.7854881.
Hasan, Iftekhar, Husain, Tausif, Sozer, Yilmaz, Husain, Iqbal, and Muljadi, Eduard. Thu . "Analytical Model-Based Design Optimization of a Transverse Flux Machine". United States. doi:10.1109/ECCE.2016.7854881.
@article{osti_1351847,
title = {Analytical Model-Based Design Optimization of a Transverse Flux Machine},
author = {Hasan, Iftekhar and Husain, Tausif and Sozer, Yilmaz and Husain, Iqbal and Muljadi, Eduard},
abstractNote = {This paper proposes an analytical machine design tool using magnetic equivalent circuit (MEC)-based particle swarm optimization (PSO) for a double-sided, flux-concentrating transverse flux machine (TFM). The magnetic equivalent circuit method is applied to analytically establish the relationship between the design objective and the input variables of prospective TFM designs. This is computationally less intensive and more time efficient than finite element solvers. A PSO algorithm is then used to design a machine with the highest torque density within the specified power range along with some geometric design constraints. The stator pole length, magnet length, and rotor thickness are the variables that define the optimization search space. Finite element analysis (FEA) was carried out to verify the performance of the MEC-PSO optimized machine. The proposed analytical design tool helps save computation time by at least 50% when compared to commercial FEA-based optimization programs, with results found to be in agreement with less than 5% error.},
doi = {10.1109/ECCE.2016.7854881},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Feb 16 00:00:00 EST 2017},
month = {Thu Feb 16 00:00:00 EST 2017}
}

Conference:
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