Rotor Shape Multi-Level Design Optimization for Double-Stator Permanent Magnet Synchronous Motors

Pedram Asef, Ramon Bargallo Perpina, Saeed Moazami, Andrew Craig Lapthorn

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


This research presents a rotor shape multi-level-objective optimization designed to reduce the mechanical stress distribution in the rotor core of a double-stator permanent magnet synchronous motor. The second objective is weight minimization performed via a response surface methodology (RSM) with a uniform precision central composite design (UP-CCD) function. The optimal operation point, with a substantial population size, is reached using a Monto Carlo algorithm on the fitted model. The goodness-of-fit for the model is evaluated based on the modified Akaike information criterion (AICc) and the Bayesian information criterion (BIC) with a linear regression approach. To achieve these goals, a multi-level design procedure is proposed for the first time in machine design engineering. All the electromagnetic forces of the machine such as normal, tangential, and centrifugal forces are calculated using 3-D transient finite element analysis (FEA). The outcome of the proposed rotor core optimization shows that the finalized shape of the studied core has significantly smaller weight and mechanical stress, while the electromagnetic performance of the machine has remained consistent with a pre-optimized machine.

Original languageEnglish
JournalIEEE Transactions on Energy Conversion
Publication statusAccepted/In press - 2018
Externally publishedYes


  • Finite Element Analysis
  • Monte Carlo Algorithm
  • Multi-level Optimization
  • Response Surface Methodology
  • Stress Computation
  • Synchronous Machine


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