Abstract:

To solve the weak robustness of UKF(Unscented Kalman Filtering) of the DD-PMSG(Direct-Driven Permanent Synchronous Magnetic Generator) without position sensor, a rotor speed estimation method based on RUKF(Robust Unscented Kalman Filtering) algorithm is proposed. The DD-PMSG model is transformed into the augmented equations with electromechanical state and stator parameters. By applying the RUKF to the augmented model, the PMSG states will be estimated, and the uncertain parameters dynamic, in which the latter participates in the iterative process of state estimation and improves the robustness of state estimation against parameter uncertainties. The stronger robustness can be shown by comparing with the UKF method in simulation results.

Key words: permanent magnetic synchronous generator(PMSG), sensorless control, speed estimation, robustunscented Kalman filtering(RUKF)