Amirkabir University of Technology AUT Journal of Electrical Engineering 2588-2910 46 1 2014 04 01 Optimal Design of Single-Phase Induction Motor Using MPSO and FEM Optimal Design of Single-Phase Induction Motor Using MPSO and FEM 1 9 435 10.22060/eej.2014.435 EN B. Farhadi MSc. Student, Department of Electrical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran S.H. Shahalami Assistant Professor, Department of Electrical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran E. Fallah Choolabi Assistant Professor, Department of Electrical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran Journal Article 2015 10 06 In this paper, a new approach is proposed for the optimum design of single-phase induction motor. By using the classical design equations and the evolutionary algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Modified Particle Swarm Optimization (MPSO), a Single Phase Induction Motor (SPIM) was designed with the maximum efficiency. The Finite Element Method (FEM) was used to achieve an accurate model of the motor. This model was used to validate the optimum design instead of implementing it practically that would be expensive. Results show that the efficiency of the motor designed by MPSO is higher compared to the ones designed by other methods. So this algorithm can be proposed as an appropriate tool in design of single-phase induction motors. https://eej.aut.ac.ir/article_435_ddb30680a691d157187ee1cf9e896d03.pdf