It is known that the application of the field-oriented control strategy to induction motors needs the knowledge of the rotor flux components or the rotor resistance. The aim of this work is to show a method to estimate these quantities, based on the Kalman filter extended theory. The state equation of the Kalman filter results to be non linear because the rotor resistance is considered as variable. The observation equation contains the rotor flux components, which are derived from the integration of voltage signals, and the stator current ones. Simulation results obtained from this method show its effectiveness.
Induction Motor Parameter Estimation via EKF / Dell'Aquila, A; Lovecchio, F. S.; Salvatore, L; Stasi, Silvio. - 3:(1991), pp. 543-549. (Intervento presentato al convegno Fourth European Conference on Power Electronics and Applications EPE 91 tenutosi a Florence, Italy nel September 3-6, 1991).
Induction Motor Parameter Estimation via EKF
STASI, Silvio
1991-01-01
Abstract
It is known that the application of the field-oriented control strategy to induction motors needs the knowledge of the rotor flux components or the rotor resistance. The aim of this work is to show a method to estimate these quantities, based on the Kalman filter extended theory. The state equation of the Kalman filter results to be non linear because the rotor resistance is considered as variable. The observation equation contains the rotor flux components, which are derived from the integration of voltage signals, and the stator current ones. Simulation results obtained from this method show its effectiveness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
