Application of inverse problem methodology in design optimization of a permanent magnet synchronous motor (PMSM)‎

Abstract EN

Application of modern mathematical optimization has become an important tool for the design permanent magnet machines.

Inverse problems have been found in numerous research areas, such as medical imaging, non destructive testing and geophysical prospecting.

The inverse problem can be considered as a large-scale nonlinear programming problem.

This paper describes the optimal design of a permanent magnet synchronous motor based on inverse problem methodology.

In the optimization problem, we choose the increase of torque as objective.

The magnet thickness and arc magnet pole are selected for the design.

The performance of the designed motor are then studied using finite element method (FEM) calculations and analytical models.

The simulation results show the usefulness and effectiveness of the proposed strategy.