Please use this identifier to cite or link to this item:
Title: Optimal shape design of a class of permanent magnet motors in a multiple-objectives context
Authors: Di Barba, Paolo
Mognaschi, Maria Evelina
Petkovska, Lidija
Cvetkovski, Goga Vladimir
Keywords: Optimal design, Permanent magnet motor, multi-objective optimization
Issue Date: 7-Mar-2022
Publisher: Emerald
Journal: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
Abstract: This paper aims to deal with the optimal shape design of a class of permanent magnet motors by minimizing multiple objectives according to an original interpretation of Pareto optimality. The proposed method solves a many-objective problems characterized by five objective functions and five design variables with evolution strategy algorithms, classically used for single- and multi-objective (two objective functions) optimization problems. Design/methodology/approach: Two approaches are proposed in the paper: the All-Objectives (AO) and the Many-Objectives (MO) optimization approach. The former is based on a single-objective optimization of a preference function, i.e. a normalized weighted sum. In contrast, in the MO a multi-objective optimization algorithm is applied to the minimization of a weight-free preference function and simultaneously to a maximization of the distance of the current solution from the prototype. The optimizations are based on an equivalent circuit model of the Permanent Magnet (PM) motor, but the results are assessed by means of finite element analyses Findings: An extensive study of the solutions obtained by means of the different optimization approaches is provided by means of post-processing analyses. Both the approaches find non-dominated solutions with respect to the prototype that are substantially improving the initial solution. The points of strength along with the weakness points of each solution with respect to the prototype are analysed in depth. Practical implications: he paper gives a good guide to the designers of electric motors, focused on a shape design optimization. Originality/value: Considering simultaneously five objective functions in an automated optimal design procedure is challenging. The proposed approach, based on a well-known and established optimization algorithm, but exploiting a new concept of degree of conflict, can lead to new results in the field of automated optimal design in a many-objective context.
DOI: 10.1108/compel-10-2021-0394
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Journal Articles

Show full item record

Page view(s)

checked on Mar 20, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.