On-Line Identification of PMSM Parameters: Model-Reference vs EKF

In this paper, a model-reference based on-line identification method is proposed to estimate PMSM parameters. The global stability of the augmented system is analyzed using the second method of Lyapunov and the singular perturbations theory. It is shown that this method may be applied with a decoupling control technique that improves convergence dynamics and overall system stability. This method is compared with an extended Kalman filter (EKF) based on-line identification approach and it is shown that in spite of its implementation complexity with respect to the proposed method, EKF does not give better results than the proposed method. The simulation results as well as the experimental ones, implemented on a non-salient pole PMSM, illustrate the validity of the analytic approach and confirm the same conclusions.