Mutluer, MümtazBilgin, Osman2020-03-262020-03-262012Mutluer, M., Bilgin, O., (2012). Design Optimization of Pmsm by Particle Swarm Optimization and Genetic Algorithm. Inısta 2012 - International Symposium on Innovations in Intelligent Systems and Applications, 2012, 1-4.9.78147E+12https://dx.doi.org/10.1109/INISTA.2012.6247024https://hdl.handle.net/20.500.12395/28753International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831One of the electric power researches is the design optimization studies of permanent magnet synchronous motors. The main advantages of design optimizations of permanent magnet synchronous motors are to contribute to comfort, cost, and especially to energy savings. Although absence of rotor windings affects efficiencies of permanent magnet synchronous motors, stringent selection of values of geometrical design parameters affects the efficiency. Artificial intelligence techniques are satisfactory in choosing of design parameters of electric motors. This study aims to provide the design optimization of surface mounted permanent magnet synchronous motor thus. First of all geometrical design parameters of the motor were identified and then preliminary analytical design and design optimization by using genetic algorithm and particle swarm algorithm were studied. The obtained efficiency results were compared with each others and the results is satisfactory. © 2012 IEEE.en10.1109/INISTA.2012.6247024info:eu-repo/semantics/closedAccessgenetic algorithmparticle swarm optimizationpermanent magnet synchronous motor designConference ObjectN/A