Abstract
In this paper, a multiobjective design optimization method combining design-of-experiments techniques and differential-evolution algorithms is presented. The method was implemented and utilized in order to provide practical engineering insights for the optimal design of interior and spoke-type permanent-magnet machines. Two combinations with 12 slots and 8 poles and 12 slots and 10 poles, respectively, have been studied in conjunction with rare-earth neodymium-iron-boron (NdFeB) and ferrites. As part of the optimization process, a computationally efficient finite-element electromagnetic analysis was employed for estimating the performance of thousands of candidate designs. Three optimization objectives were concurrently considered for minimum total material cost, power losses, and torque ripple, respectively. Independent variables were considered for both the stator and rotor geometries. A discussion based on a systematic comparison is included, showing, among other things and despite common misconception, that comparable cost versus loss Paretos can be achieved with any of the rotor topologies studied.
Original language | English |
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Article number | 07017567 |
Pages (from-to) | 2940-2948 |
Number of pages | 9 |
Journal | IEEE Transactions on Industry Applications |
Volume | 51 |
Issue number | 4 |
DOIs | |
State | Published - Jul 1 2015 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- design of experiments
- design optimization
- differential evolution
- finite element analysis
- interior permanent magnet machine
- rare earth magnet
- response surface methodology
- spoke-type rotor
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering