Induction Motor Drive's Parameters Identification Using Extended Kalman Filter Algorithms
نویسندگان
چکیده
This paper presents a detailed study of the extended Kalman filter (EKF) for estimating the rotor resistance and rotor speed of an induction motor drive. The overall structure of the EKF is reviewed and the various system vectors and matrices are defined. By including the rotor resistance and rotor speed as a state variables, the EKF equations are established from a discrete two-axis model of the three-phase induction motor. The investigations show that the EKF is capable of estimating the rotor resistance and capable of tracking the actual rotor speed provided that the elements of the covariance matrices are properly selected. Moreover, the performance of the EKF is satisfactory even in the presence of noise or when there are variations in the induction machine parameters. Key-Words: extended Kalman filter, parameters estimation, induction motor
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