Modelling of squirrel cage induction motors for a bio-inspired multi-objective optimal design

The design of efficient three-phase induction motors is a challenge for engineering; therefore, new design techniques are continually being proposed. For example, efficiency is in conflict with manufacturing cost, which leads to the use of multi-objective optimisation techniques to solve this engine...

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Bibliographic Details
Published in:IET electric power applications Vol. 11; no. 4; pp. 512 - 523
Main Authors: Contreras, Sergio F, Cortes, Camilo A, Guzmán, María A
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 01.04.2017
Subjects:
analytical equivalent circuit
Bacteria
bacterial chemotaxis multiobjective optimisation algorithm
bio‐inspired multiobjective optimal design
Design engineering
Efficiency
equivalent circuits
finite element analysis
finite element method
genetic algorithms
Induction motors
Mathematical models
motor behaviour modelling
Motors
multiobjective optimisation problem
Multiple objective analysis
nondominated sorting genetic algorithms II
nondominated sorting particle swarm optimisation
Optimization
particle swarm optimisation
power 3.7 kW
squirrel cage induction motor modelling
squirrel cage motors
three‐phase induction motor design
two‐pole IE2 efficiency motor
multiobjective optimisation problem
two-pole IE2 efficiency motor
particle swarm optimisation
analytical equivalent circuit
nondominated sorting genetic algorithms II
bacterial chemotaxis multiobjective optimisation algorithm
genetic algorithms
finite element analysis
equivalent circuits
squirrel cage induction motor modelling
power 3.7 kW
three-phase induction motor design
finite element method
nondominated sorting particle swarm optimisation
bio-inspired multiobjective optimal design
motor behaviour modelling
squirrel cage motors
ISSN:1751-8660, 1751-8679, 1751-8679
Online Access:Get full text
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Summary:The design of efficient three-phase induction motors is a challenge for engineering; therefore, new design techniques are continually being proposed. For example, efficiency is in conflict with manufacturing cost, which leads to the use of multi-objective optimisation techniques to solve this engineering problem. Nevertheless, this study shows that the way of accurately modelling the behaviour of the motor is as important as the optimisation method itself. Thus, the study discusses fundamental considerations in the motor model as part of a proposed methodology for the design of highly efficient three-phase squirrel cage induction motors. For this purpose, the motor is modelled in two ways: an analytical equivalent circuit and the finite element method, which are validated with data obtained from laboratory tests. The main contribution of this study is to show for the first time the required characteristics of the analytical model used as part of a multi-objective optimisation problem to have a suitable accuracy with a competitive runtime. Moreover, the problem is solved using three bio-inspired optimisation algorithms: non-dominated sorting genetic algorithms II, non-dominated sorting particle swarm optimisation and bacterial chemotaxis multi-objective optimisation algorithm. The methodology is tested in the optimal redesign of a two-pole, 3.7 kW, IE2 efficiency motor, for which the efficiency and cost were improved.
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ISSN:1751-8660
1751-8679
1751-8679
DOI:10.1049/iet-epa.2016.0672