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http://dx.doi.org/10.5207/JIEIE.2003.17.5.029

Optimum Design of a linear Induction Motor using Genetic Algorithm and Neural Network  

김창업 (호서대학교 전기정보통신공학부)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.17, no.5, 2003 , pp. 29-35 More about this Journal
Abstract
In this paper, a new optimum design method is proposed for the linear induction motor(LIM). The Genetic Neural Network(GNN) is introduced in the optimum design of LIM and the simulation result is compared with the Genetic Algorithm(GA) and Neural Network(NN). The maximum thrust and trust/weight are selected as the object functions. The comparison showed that the proposed method is better than GA and NN.
Keywords
Linear Induction Motor; Optimum Design; Genetic Algorithm; Neural Network; genetic Neural Network;
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