Document Type
Conference Proceeding
Language
eng
Publication Date
5-12-2013
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Source Publication
2013 IEEE International Electric Machines & Drives Conference (IEMDC)
Source ISSN
978-1-4673-4974-1
Abstract
In this paper, a combined design optimization method utilizing Design of Experiments (DOE) and Differential Evolution (DE) algorithms was implemented to provide practical insights in the multi-objective design optimization of a 12-slot, 8-pole, spoke-type, ferrite magnet machine, with fractional-slot concentrated windings. A robust parametric model of this type of machine is provided here. In this combined design optimization approach, the Central Composite Design (CCD) method, as one of the DOE approaches, was used to perform the variables sensitivity study, from which the significant design variables were selected and the corresponding variables ranges were defined, for the DE design optimization procedure. A Computationally Efficient-Finite Element Analysis (CE-FEA) approach was utilized to estimate the performance and characteristics of 3000 candidate designs. From the study of design objectives utilizing the pareto-set and color maps, three candidate designs with minimized losses, material cost and torque ripple were compared.
Recommended Citation
Zhang, Peng; Sizov, Gennadi Y.; Ionel, Dan M.; and Demerdash, Nabeel, "Design Optimization of Spoke-type Ferrite Magnet Machines by Combined Design of Experiments and Differential Evolution Algorithms" (2013). Electrical and Computer Engineering Faculty Research and Publications. 225.
https://epublications.marquette.edu/electric_fac/225
Comments
Accepted version. Published as part of the proceedings of the 2013 IEEE International Electric Machines & Drives Conference (IEMDC), 2013. DOI. © 2013 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.