A new technique to identify induction machine rotor parameters during dynamic operation and low speed

Abstract

Resulting control performance of induction machine drives relies on accurate rotor flux linkage estimation. Deviation of temperature dependent rotor parameter leads to detuning of the machine model and thus needs to be compensated online. By exploiting and separating the machine's saturation saliency information, it is possible to set up a tuning method to accurately identify machine model rotor parameter and thus to identify temperature even at low speed and dynamic operation. The method proposed is divided into an initial commissioning phase and a temperature identification phase during machine operation. Within this study a mathematical description of the temperature influence on rotor flux estimation is given. Moreover, detailed performance verification of the method is shown using a 100kW induction machine for traction applications.