Large-Scale Optimization of Synchronous Reluctance Machines Using CE-FEA and Differential Evolution

Yi Wang, Dan M. Ionel, Vandana Rallabandi, Minjie Jiang, Steven J. Stretz

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


A novel automated design optimization procedure based on the application of an ultrafast computationally efficient finite-element analysis (CE-FEA) for current-regulated synchronous reluctance machines supplied from power electronic converters is proposed. The CE-FEA uses only a minimum number of magnetostatic solutions in order to comprehensively evaluate performance, including ripple torque and core losses. The optimization algorithm is based on differential evolution, and uses as independent variables the torque angle and ratios for a generic rotor topology with four flux barriers. Two problems, one with two and the other with three objectives, are studied and results are compared. Global performance indices and objectives incorporate the effect of average torque output, losses, torque ripple, and power factor at fixed cost. It is shown that through optimal studies with more than 5000 candidate designs, high output power, high efficiency, and low torque ripple can be achieved, while the relatively low power factor remains an inherent limitation of synchronous reluctance technology. Simulations are validated versus tests from a 10-hp 1800-r/min prototype.

Original languageEnglish
Article number7513428
Pages (from-to)4699-4709
Number of pages11
JournalIEEE Transactions on Industry Applications
Issue number6
StatePublished - Nov 1 2016

Bibliographical note

Publisher Copyright:
© 1972-2012 IEEE.


  • Computationally efficient finite-element analysis (CE-FEA)
  • Design optimization
  • Differential evolution (DE)
  • Electric machine
  • electromagnetic FEA
  • synchronous reluctance (SynRel) motor

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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