Optimization of an experimental unsymmetrical-unbalanced two-phase induction motor using the HGAPSO hybrid technique and the finite element method for increasing efficiency and reducing torque ripple

Abstract

Abstract:Two-phase induction motors make an important contribution to social welfare. Accordingly, enhanced qualityin such motors would bene t society. This study was done to test this type of motor to determine a nonlinear optimalpoint in the form of a multiobjective function between ripple of the torque and motor efficiency with consideration of aweighted coefficient in an unbalanced-unsymmetrical two-phase induction motor. Tests demonstrated that minimizingtotal harmonic distortion could reduce torque ripple. The optimal point was determined using optimization algorithms,and a hybrid of genetic and particle swarm optimization algorithms simultaneously in order to increase efficiency and toreduce torque ripple. Findings established the optimized dimensions of the motor. The performance of these optimizeddimensions was tested by the nite-element method and the results are shown. Then an experimental model of the motorwas produced. Comparison was made for responses obtained from the simulation and experimental model by Park'sequations in transient and steady states.