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Design of Induction Motors Using a Mixed-Variable Approach

Academic Article
Publication Date:
2005
abstract:
In this paper we are concerned with the problem of optimally designing three-phase induction motors. This problem can be formulated as a mixed variable programming problem. Two different solution strategies have been used to solve this problem. The first one consists in solving the continuous nonlinear optimization problem obtained by suitably relaxing the discrete variables. On the opposite, the second strategy tries to manage directly the discrete variables by alternating a continuous search phase and a discrete search phase. The comparison between the numerical results obtained with the above two strategies clearly shows the fruitfulness of taking directly into account the presence of both continuous and discrete variables.
Iris type:
01.01 Articolo in rivista
Keywords:
Optimal design; Induction Motors; Mixed-variable optimization; Derivative-free methods
List of contributors:
Lucidi, Stefano; Piccialli, Veronica; Liuzzi, Giampaolo
Handle:
https://iris.cnr.it/handle/20.500.14243/154487
Published in:
COMPUTATIONAL MANAGEMENT SCIENCE
Journal
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URL

https://link.springer.com/article/10.1007/s10287-005-0024-2
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