Parameter optimal identification of dual three phase stator winding induction machine

The parameter identification of a dual three phase's stator winding induction machine is approached in this paper by the genetic optimal algorithm. The estimated parameter are: the voltage ratio between main and auxiliary winding, the main winding resistance and leakage reactance, the cage rotor resistance and reactance, the coupling leakage reactance between main and auxiliary winding, the magnetization non saturated reactance, equivalent iron loss resistance and mechanical losses including their variation with speed. The parameter are calculated from standard no load and short circuit test performed on both stator winding, by minimization the sum of squared errors between measured and computed currents, active power and reactive power in several points. The proposed method reduces the measurement error influence on the estimated parameters and for leakage inductances that slightly depend on the current could be also considered the best constant values approximation.