DocumentCode
2202505
Title
Application of evolutionary programming to optimize the rotor pole geometry of a wound rotor synchronous machine
Author
Koenig, Andreas C. ; Williams, Joshua M. ; Pekarek, Steven D.
fYear
2004
fDate
10-10 June 2004
Firstpage
1968
Abstract
One of the primary design requirements of automotive generation systems is maximizing power density subject to the constraint of minimizing overall system cost. In order to meet these objectives, numerical tools have been developed to automate the design process. A primary tool is an evolutionary algorithm that has been integrated within a customized magnetic equivalent circuit based model of the machine. In this paper, a description of the optimization procedure is provided, along with results that demonstrate its use in selecting optimal rotor pole geometry
Keywords
evolutionary computation; magnetic circuits; optimisation; rotors; synchronous machines; automotive generation system; cost minimisation; design process; evolutionary programming; machine model; magnetic equivalent circuit; numerical tool; optimization; power density; synchronous machine; wound rotor pole geometry; Automotive engineering; Costs; Evolutionary computation; Genetic programming; Geometry; Power generation; Process design; Rotors; Synchronous machines; Wounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2004. IEEE
Conference_Location
Denver, CO
Print_ISBN
0-7803-8465-2
Type
conf
DOI
10.1109/PES.2004.1373221
Filename
1373221
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