Design of synchronous reluctance motors with multiobjective optimization algorithms

The automatic design of Synchronous Reluctance (SyR) machines is considered in this paper by means of Finite Element Analysis and Multi-Objective Optimization Algorithms (MOOA). The research focuses on the design of the rotor geometry which is the key aspect of the SyR machine design. In particular,...

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Main Authors: Cupertino, Francesco, Pellegrino, Gianmario, Gerada, C.
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/37663/
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author Cupertino, Francesco
Pellegrino, Gianmario
Gerada, C.
author_facet Cupertino, Francesco
Pellegrino, Gianmario
Gerada, C.
author_sort Cupertino, Francesco
building Nottingham Research Data Repository
collection Online Access
description The automatic design of Synchronous Reluctance (SyR) machines is considered in this paper by means of Finite Element Analysis and Multi-Objective Optimization Algorithms (MOOA). The research focuses on the design of the rotor geometry which is the key aspect of the SyR machine design. In particular, the performance of three popular MOOAs is analyzed and compared in terms of quality of the final design and computational time. A procedure to minimize the computational burden of the optimized design process is introduced and applied to a three layer and to a five layer rotors. Two prototypes demonstrate experimentally the feasibility of the design procedure.
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publisher Institute of Electrical and Electronics Engineers (IEEE)
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spelling nottingham-376632020-05-04T16:44:32Z https://eprints.nottingham.ac.uk/37663/ Design of synchronous reluctance motors with multiobjective optimization algorithms Cupertino, Francesco Pellegrino, Gianmario Gerada, C. The automatic design of Synchronous Reluctance (SyR) machines is considered in this paper by means of Finite Element Analysis and Multi-Objective Optimization Algorithms (MOOA). The research focuses on the design of the rotor geometry which is the key aspect of the SyR machine design. In particular, the performance of three popular MOOAs is analyzed and compared in terms of quality of the final design and computational time. A procedure to minimize the computational burden of the optimized design process is introduced and applied to a three layer and to a five layer rotors. Two prototypes demonstrate experimentally the feasibility of the design procedure. Institute of Electrical and Electronics Engineers (IEEE) 2014-03-19 Article PeerReviewed Cupertino, Francesco, Pellegrino, Gianmario and Gerada, C. (2014) Design of synchronous reluctance motors with multiobjective optimization algorithms. IEEE Transactions on Industry Applications, 50 (6). pp. 3617-3627. ISSN 1939-9367 Torque Optimization Rotors Geometry Stators Sociology Statistics http://ieeexplore.ieee.org/document/6775258/ doi:10.1109/TIA.2014.2312540 doi:10.1109/TIA.2014.2312540
spellingShingle Torque
Optimization
Rotors
Geometry
Stators
Sociology
Statistics
Cupertino, Francesco
Pellegrino, Gianmario
Gerada, C.
Design of synchronous reluctance motors with multiobjective optimization algorithms
title Design of synchronous reluctance motors with multiobjective optimization algorithms
title_full Design of synchronous reluctance motors with multiobjective optimization algorithms
title_fullStr Design of synchronous reluctance motors with multiobjective optimization algorithms
title_full_unstemmed Design of synchronous reluctance motors with multiobjective optimization algorithms
title_short Design of synchronous reluctance motors with multiobjective optimization algorithms
title_sort design of synchronous reluctance motors with multiobjective optimization algorithms
topic Torque
Optimization
Rotors
Geometry
Stators
Sociology
Statistics
url https://eprints.nottingham.ac.uk/37663/
https://eprints.nottingham.ac.uk/37663/
https://eprints.nottingham.ac.uk/37663/