@ARTICLE{Nekoubin_Amir_Multi-objective_2020, author={Nekoubin, Amir and Soltani, Jafar and Dowlatshah, Milad}, volume={vol. 69}, number={No 4}, journal={Archives of Electrical Engineering}, pages={873-889}, howpublished={online}, year={2020}, publisher={Polish Academy of Sciences}, abstract={The multi-phase permanent-magnet machines with a fractional-slot concentrated-winding (FSCW) are a suitable choice for certain purposes like aircraft, marine, and electric vehicles, because of the fault tolerance and high power density capability. The paper aims to design, optimize and prototype a five-phase fractional-slot concentrated-winding surface-mounted permanent-magnet motor. To optimize the designed multi-phase motor a multi-objective optimization technique based on the genetic algorithm method is applied. The machine design objectives are to maximize torque density of the motor and maximize efficiency then to determine the best choice of the designed machine parameters. Then, the two-dimensional Finite Element Method (2D-FEM) is employed to verify the performance of the optimized machine. Finally, the optimized machine is prototyped. The paper found that the results of the prototyped machine validate the results of theatrical analyses of the machine and accurate consideration of the parameters improved the acting of the machine.}, type={Article}, title={Multi-objective design optimization of five-phase fractional-slot concentrated-winding surface-mounted permanent-magnet machine}, URL={http://journals.pan.pl/Content/117669/PDF/art10.pdf}, doi={10.24425/aee.2020.134636}, keywords={Finite Element Method (FEM), genetic algorithm, optimization, permanent-magnet motors}, }