PI and fuzzy estimators for on-line tracking of rotor resistance of indirect vector controlled induction motor drive

This paper presents two methods of estimation of the rotor resistance in the indirect vector controlled induction motor drive. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed using a PI controller and a fuzzy logic. The performance of both estimators and torque and flux responses of the drive are investigated with simulations for variations in the rotor resistance values from their nominal values. When either of the estimators are added to the drive system, the drive system performance does not deteriorate with the variation of the rotor resistance. The two estimation algorithms are designed, one with a PI controller and the other with fuzzy logic. The effectiveness of both algorithms is demonstrated with simulations.