An IRFO system with stator and rotor resistance identification for the induction motor

Abstract

This paper presents a new online identification method for the stator and rotor resistance of an induction motor operating in an indirect rotor field oriented (IRFO) control system. The rotor resistance is identified using the MRAS (model reference adaptive system) principle, as a consequence of the estimated rotor flux magnitude. The rotor flux magnitude is estimated in the stationary reference frame (α , β ) using the voltage model and the current model. The error signal of the rotor flux magnitude obtained from the two models provides the identification of the rotor resistance. In order to estimate the rotor flux from the voltage model, a new method for elimination of the DC drift based on the observer theory is presented. This method is compared with two very commonly used methods. The stator resistance is identified through two methods. The first method is based on the MRAS procedure. The second method is derived in the d, q reference frame aligned to the stator current vector. This paper investigates the possibility that the stator resistance, identified either by the first or second method, could be used as an input parameter for the rotor resistance identification method. The validity of the proposed approach is verified by realistic simulation and experimentation.

Dinko Vukadinović

Full Professor | Department of Power Electronics and Control

Full professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, specialized in modern control systems for power electronic converters, electric motors, and generators. At the Power Electronics Research Laboratory, he leads experimental projects and develops advanced methods for regulating electrical machines and converters, while supervising doctoral research in these areas.

Mateo Bašić

Full Professor | Department of Power Electronics and Control

Full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split, with recent research interests related to the fields of power electronics and renewable energy sources, with a special focus on energy-efficient control of inverters, battery systems, wind turbines, photovoltaic sources and self-excited induction generators in microgrids - both in island operation and in grid-tie operation.