Title :
Forced field oriented control of induction motors with rotor and stator resistance estimation
Author :
Aime, M.L. ; Colaneri, P. ; Locatelli, A.
Author_Institution :
Dipt. di Elettron. ed Inf., Politec. di Milano, Milan, Italy
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
This paper presents a forced field oriented control and filtering techniques for the estimation of rotor flux, rotor and stator resistance of a three-phase induction machine. The indirect field orientation scheme has been modified adding a PI controller so as to force the rotor flux field orientation when machine parameters are mistuned. The rotor flux is estimated by an extended Kalman filter in a synchronous reference frame. In order to make the system more robust against stator and rotor resistance mistuning, the stator resistance is also estimated by an extended Kalman filter. As for the rotor resistance estimation, it is performed based on the sensitivity model of the induction machine in a synchronous reference frame in conjunction with a closed-loop adaptation algorithm. Computer simulations (using Matlab/Simulink) have been carried out to test the performance of the proposed forced field oriented control scheme and filtering techniques. The simulations demonstrate that the modified indirect field orientation scheme is robust against machine parameter mistuning and state estimation errors. In addition simulation results show that the estimate of the rotor and stator resistance and rotor flux is accurate.
Keywords :
Kalman filters; PI control; estimation theory; induction motors; machine vector control; magnetic flux; nonlinear filters; rotors; state estimation; stators; Matlab/Simulink; PI controller; closed-loop adaptation algorithm; extended Kalman filter; forced field oriented control scheme; indirect field orientation scheme; induction motors; machine parameter mistuning; rotor flux estimation; rotor flux field orientation; rotor resistance estimation; state estimation errors; stator resistance estimation; synchronous reference frame; three-phase induction machine; Induction motors; Kalman filters; Induction machine; extended Kalman filter; field orientation;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5