Title :
Vector control of an induction motor with on-line rotor resistance identification
Author :
Ouhrouche, Mohand A.
Author_Institution :
Dept. des Sci. Appliquees, Quebec Univ., Chicoutimi, Que., Canada
Abstract :
Thanks to the advances of power electronics and digital signal processor (DSP) technology, electrical drives for induction machines (IM), based on indirect vector control strategy (IVC) are now widely available on the market. This control strategy allows high performance to be achieved from an induction motor. Crucial to the success of this well-known control method is a priori knowledge of the rotor electrical time constant, which varies with temperature, frequency and saturation. In this paper the author presents a Matlab-Simulink based design and simulation of a high performance induction motor vector control which is robust against rotor resistance variations. These variations are predicted and corrected by using the extended Kalman filter (EKF) algorithm.
Keywords :
Kalman filters; electric resistance; induction motor drives; machine vector control; parameter estimation; rotors; Matlab-Simulink; digital signal processor; extended Kalman filter algorithm; indirect vector control strategy; induction motor; on-line rotor resistance identification; power electronics; rotor electrical time constant; vector control; Digital signal processing; Digital signal processors; Electric resistance; Frequency; Induction machines; Induction motors; Machine vector control; Power electronics; Rotors; Temperature control;
Conference_Titel :
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location :
Edmonton, Alberta, Canada
Print_ISBN :
0-7803-5579-2
DOI :
10.1109/CCECE.1999.808211