This paper presents the development and validation of a fast, accurate, and high dimensional Multiphysics analytical model for the optimization-based design of fractional-slot surface permanent magnet (PM) machines. The approach is non-iterative and high dimensional, i.e. considers a high number of input parameters. The resulting model takes an average of 0.03 seconds to run on a standard PC, and its accuracy is verified by both Finite Element (FE) analysis and experimental tests. Due to its accuracy and speed, the model can be easily integrated within a design optimization environment.

(2019). Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines . Retrieved from http://hdl.handle.net/10446/224253

Fast and Accurate Model for Optimization-based Design of Fractional-Slot Surface PM Machines

Giangrande, Paolo;
2019-01-01

Abstract

This paper presents the development and validation of a fast, accurate, and high dimensional Multiphysics analytical model for the optimization-based design of fractional-slot surface permanent magnet (PM) machines. The approach is non-iterative and high dimensional, i.e. considers a high number of input parameters. The resulting model takes an average of 0.03 seconds to run on a standard PC, and its accuracy is verified by both Finite Element (FE) analysis and experimental tests. Due to its accuracy and speed, the model can be easily integrated within a design optimization environment.
2019
Cheong, Benjamin; Giangrande, Paolo; Zhang, Xiaochen; Galea, Michael; Zanchetta, Pericle; Wheeler, Patrick
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/224253
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