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Design of synchronous reluctance motors with multiobjective optimization algorithms

Cupertino, Francesco; Pellegrino, Gianmario; Gerada, C.

Authors

Francesco Cupertino

Gianmario Pellegrino

C. Gerada chris.gerada@nottingham.ac.uk



Abstract

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.

Journal Article Type Article
Publication Date Mar 19, 2014
Journal IEEE Transactions on Industry Applications
Print ISSN 0093-9994
Electronic ISSN 1939-9367
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 50
Issue 6
APA6 Citation Cupertino, F., Pellegrino, G., & Gerada, C. (2014). Design of synchronous reluctance motors with multiobjective optimization algorithms. IEEE Transactions on Industry Applications, 50(6), doi:10.1109/TIA.2014.2312540
DOI https://doi.org/10.1109/TIA.2014.2312540
Keywords Torque, Optimization, Rotors, Geometry, Stators, Sociology, Statistics
Publisher URL http://ieeexplore.ieee.org/document/6775258/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
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.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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