Controlling the speed and flux of a dual stator winding induction motor using an emotional intelligent controller and integration algorithm

Abstract

The appropriate efficiency of a dual stator winding squirrel-cage induction motor (DSWIM) is obtained when the ratio of two frequencies feeding the machine is equal to the ratio of the number of poles. In the vector control method, the estimation of flux at low speed is difficult. To solve this problem, researchers have benefited from the free capacity of the two windings of the stator. This makes the motor deviate from its standard operating mode at low speed. The main purpose of the present study is to reduce the power losses of the inverter units in the sensorless DSWIM drive using the proposed control scheme at low speed. In this control scheme, the speed is estimated based on the modified intelligent model reference adaptive system (MIMRAS) without estimating the stator resistance at low speed. The proposed methods were simulated in MATLAB/Simulink software, and the results of simulation confirmed the assumptions.