Principal component optimization with mesh adaptive direct search for optimal design of permanent magnet synchronous machine

Abstract

Optimal design of Permanent Magnet Synchronous Machine (PMSM) based on Finite Element Analysis (FEA) calls for huge computational time for high accuracy. Therefore, it is essential to select appropriate optimization algorithm. This paper presents the principal component optimization based on principal component analysis with mesh adaptive direct search to improve computation time and reliability of convergence to global optimum. It is verified through a benchmark function and applied to optimal design of PMSM for minimization of torque ripple based on FEA.