The paper deals with a finite element analysis-based optimised design of a double-cage induction motor. By driving the optimisation procedure by a fuzzy artificial experience algorithm, a dramatic reduction of the iterations is obtained. This makes the sophisticated but time consuming finite element analysis technique practicable, with advantages in terms of accuracy and promptness of the motor design.
Optimised Design of a Double-Cage Induction Motor by Fuzzy Artificial Experience and Finite Element Analysis
BIANCHI, NICOLA;BOLOGNANI, SILVERIO;ZIGLIOTTO, MAURO
1998
Abstract
The paper deals with a finite element analysis-based optimised design of a double-cage induction motor. By driving the optimisation procedure by a fuzzy artificial experience algorithm, a dramatic reduction of the iterations is obtained. This makes the sophisticated but time consuming finite element analysis technique practicable, with advantages in terms of accuracy and promptness of the motor design.File in questo prodotto:
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