Induction motors have been applied in industrial domain, agriculture, transportation, national defence industry and other industries because of their advantages of simple structure, small inertia, low cost and long time working at high speed and high temperature. In this paper, particle swarm optimization algorithm (PSO) is applied to the optimal design of Y3 series asynchronous motors to achieve the highest efficiency. Secondly, the RMxprt module of Ansoft was used to design a Y3 high-efficiency induction motor with a certain power level using particle swarm optimization (PSO). Maxwell module was used to carry out finite element analysis to calculate the magnetic density and flux distribution of stator and rotor. The simulation results of stator current, flux, induction voltage and transient torque show that the performance indexes of Y3 induction motor designed in this paper meet the design requirements which verify the rationality of the design.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.