Comparison of State Estimators for a Permanent Magnet Synchronous Generator

Abstract

A Permanent Magnet Synchronous Generator is chosen as a case study for this comparison. A continous model with a discrete integrator is shown to be the best solution for the discretization of the nonlinear model. Then, the Kalman Filter (KF), the Extended Kalman Filter (EKF) and the Unscented Kalman Filter are compared. The results are presented and it is shown that the EKF is the best suited for this application. Moreover, a discussion regarding the behaviour of the filters follows, where all are shown to act like proportional controllers.