Automatic design of Synchronous Reluctance motors focusing on barrier shape optimization

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Pellegrino, Gianmario, Cupertino, Francesco and Gerada, C. (2014) Automatic design of Synchronous Reluctance motors focusing on barrier shape optimization. IEEE Transactions on Industry Applications, 51 (2). pp. 1465-1474. ISSN 1939-9367

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Abstract

The automated design of Synchronous Reluctance motors based on Multi-Objective, Genetic Optimization and Finite Element Analysis is considered in this paper. Three types of barrier shapes are considered, all described by an effective, limited set of input variables. The three solutions are investigated to establish which of the geometries can give the best torque output and also which one represents the best compromise between output performance and computational time. The analysis presented in this paper shows that Synchronous Reluctance motors designed automatically can give a good performance, can be designed in a reasonable time and it is also shown that not all design degrees of freedom are useful in terms of motor performance. Two prototypes of automatically designed machines have been fabricated and experimentally compared to a third prototype designed according to state-of-the-art design principles

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/734449
Additional Information: c2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: AC Machines, AC Motors, AC Drives, Synchronous Motor Drives, Synchronous Reluctance Machines, Rotor Design, Design Optimization, Pareto Optimization, Finite Element Analysis
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TIA.2014.2345953
Depositing User: Burns, Rebecca
Date Deposited: 19 Oct 2016 10:50
Last Modified: 04 May 2020 16:52
URI: https://eprints.nottingham.ac.uk/id/eprint/37665

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