  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.
