Identification of induction motor parameter using an Extended Kalman Filter

This paper presents a method for the real-time estimation of parameters and unmeasured states using an Extended Kalman Filter (EKF). The EKF is based on a numerically stable model of the induction motor. The algorithm can be used to adapt parameters that vary with time and for estimation of the rotor fluxes. Experimental results to show the ability of the algorithm to estimate the motor states and parameters are presented. © 2004 IEEE.

Extended Kalman Filter; Induction motors; Parameters identification Algorithms; Identification (control systems); Kalman filtering; Parameter estimation; Real time systems; Extended Kalman filters (EKF); Induction motor parameters; Real-time estimation; Induction motors

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