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 whenthe ratio of two frequencies feeding the machine is equal to the ratio of the number of poles. In the vector controlmethod, the estimation of flux at low speed is difficult. To solve this problem, researchers have benefited from thefree capacity of the two windings of the stator. This makes the motor deviate from its standard operating mode atlow speed. The main purpose of the present study is to reduce the power losses of the inverter units in the sensorlessDSWIM drive using the proposed control scheme at low speed. In this control scheme, the speed is estimated basedon the modified intelligent model reference adaptive system (MIMRAS) without estimating the stator resistance at lowspeed. The proposed methods were simulated in MATLAB/Simulink software, and the results of simulation confirmedthe assumptions.