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.
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;
Conference_Titel :
Power Engineering Society General Meeting, 2004. IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-8465-2
DOI :
10.1109/PES.2004.1373221
