Abstract
In this work, a Non-dominated Sorting Genetic Algorithm (NSGAII) is used to solve a Multi-objective Optimization problem which consists of the maximization of the average torque and the reduction of the slotless PM motors mass. Firstly a magnetic analytical model of the motor is developed to define an optimization problem and a set of design constraints. Then, the (NSGAII) algorithm is used to solve this optimization problem.
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Belguerras, L., Hadjout, L. (2010). Multi-objective Design Optimization of Slotless PM Motors Using Genetic Algorithms Based on Analytical Field Calculation. In: Wiak, S., Napieralska-Juszczak, E. (eds) Computational Methods for the Innovative Design of Electrical Devices. Studies in Computational Intelligence, vol 327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16225-1_2
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DOI: https://doi.org/10.1007/978-3-642-16225-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16224-4
Online ISBN: 978-3-642-16225-1
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