AN EFFICIENT APPROACH FOR DETERMINING INDUCTION MOTORS PARAMETERS

The paper presents an efficient approach for determining the equivalent circuit parameters of squirrel cage induction motors by genetic algorithms. A T80B4AB3 type squirrel cage induction motor is analyzed. The Tshaped equivalent circuit is utilized. There are five unknowns in the equivalent circuit, namely: stator resistance and stator leakage reactance, rotor resistance and rotor leakage reactance, and magnetizing reactance. The known quantities from measurement are the input voltage, input current, power factor and slip. Genetic algorithms are used for determining the induction motor parameters. The results are compared by using one, two and three sets of measured data. The accuracy of the proposed approach is verified by determining the relative error in the parameters, obtained by genetic algorithms with regard to analytical values. It is shown that the presented approach needs only two points from the induction motor load curve. In contrast, the standard approach requires at least three points from the motor load curve to obtain relative error less than 1%.