| Abstract |
In this paper a general moving horizon estimation (MHE) scheme for online parameter estimation of permanent magnet synchronous machines (PMSMs) is investigated. The optimization problem is solved with the generalized Gauss-Newton method and the real-time iteration approach, which enables the real time implementation of the moving horizon estimation. Furthermore, the proposed estimator is compared with state-of-the-art observers, i.e. extended Kalman filter (EKF) and unscented Kalman filter (UKF), under two test cases. The proposed estimation scheme shows superior performance at the steady state and during the transient both in simulation as well as in experiment. |
