Study on the impact of uncertain design parameters on the perfomances of a permanent magnet assisted synchronous reluctance motor

TL;DR

This paper investigates how uncertainties in design parameters affect the performance of a permanent magnet assisted synchronous reluctance motor, emphasizing the importance of robust optimization to ensure reliable motor performance.

Contribution

It introduces a robust optimization approach using surrogate models to evaluate the impact of uncertain parameters on motor performance, comparing it with deterministic methods.

Findings

Magnetic property tolerances significantly affect mean torque.

Robust optimization yields more reliable motor designs.

Uncertain parameters must be considered for optimal motor performance.

Abstract

In this paper, deterministic and robust design optimizations of a permanent magnet assisted synchronous reluctance machine were performed to study the impact of different uncertain input parameters on the design. These optimizations were carried out using a surrogate model based on 2-D finite element simulations. Different robust optimizations considering geometric and magnetic uncertain parameters were compared to the deterministic optimization. It was noticed that both geometrical and magnetic properties tolerances greatly impact the machines' performances, where the magnetic properties had a more significant impact on the mean torque. In such a case, robust optimization is essential to find optimal and robust electric motors designs.