The automatic design of synchronous reluctance (SyR) machines is considered in this paper by means of finite-element analysis and multiobjective optimization algorithms (MOOAs). 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 a five layer rotor. Two prototypes experimentally demonstrate the feasibility of the design procedure.

Design of Synchronous Reluctance Motors With Multiobjective Optimization Algorithms / Cupertino, Francesco; Pellegrino, G; Gerada, C.. - In: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS. - ISSN 0093-9994. - 50:6(2014), pp. 3617-3627. [10.1109/TIA.2014.2312540]

Design of Synchronous Reluctance Motors With Multiobjective Optimization Algorithms

CUPERTINO, Francesco;
2014-01-01

Abstract

The automatic design of synchronous reluctance (SyR) machines is considered in this paper by means of finite-element analysis and multiobjective optimization algorithms (MOOAs). 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 a five layer rotor. Two prototypes experimentally demonstrate the feasibility of the design procedure.
2014
Design of Synchronous Reluctance Motors With Multiobjective Optimization Algorithms / Cupertino, Francesco; Pellegrino, G; Gerada, C.. - In: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS. - ISSN 0093-9994. - 50:6(2014), pp. 3617-3627. [10.1109/TIA.2014.2312540]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/6870
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