Dynamic evaluation of shaded-pole motor models optimized by using the method of genetic algorithms

摘要

In the paper, a dynamic evaluation of three single-phase shaded-pole induction motorudmodels is presented. At the beginning, using analytical approach with symmetrical components,uda mathematical model for the basic model is developed. Accuracy of the model is verified by anudexperiment. Afterwards, using the Method of Genetic Algorithms and introducing as targetudfunctions electromagnetic torque and efficiency factor, two improved motor models are derived.udBasic model and also the two new derived models are analyzed by using the Finite ElementudMethod in time-harmonic domain. By developing a general simulation model of a shaded-poleudmotor, and applying it in Matlab/Simulink, dynamic performance characteristics of all motorudmodels are obtained. Comparative dynamic analysis for the three motor models is carried out,udproving the advantages and improvements of new optimized motor models.