A Dual Kalman Filter to Identify Parameters of a Permanent Magnet Synchronous Motor

The paper deals with a Dual Kalman Filter (DKF) to estimate parameters L_d and L_q, direct and quadrature inductances of a Permanent Magnet Synchronous Motor (PMSM). Using the model of the system, reference parameters are considered as a virtual measured system. In this way, the estimation of the parameters can be separated by the estimation of the states. The resulting Kalman Filter (KF) for the estimation of the parameters is a linear one characterized by the identity dynamical matrix. Simulation results show the effectiveness of the method.