An Improved Sliding Model Observer Sensorless Control for PMSM Based on Fuzzy Logic Controller and DSOGI-FLL

The conventional sliding mode observer (SMO) employed in the sensorless control for the permanent magnet synchronous machine (PMSM) has the problems of chattering phenomena and phase delay, which results in large errors between the estimated and actual values of the rotor speed and position. Thus, this paper proposes an improved SMO based on fuzzy logic controller (FLC) and dual second-order generalized integrator-frequency-locked loop (DSOGI-FLL) structure. The FLC is used to adjust the parameters of the SMO to improve the adaptive ability of the system and reduce the chattering. At the same time, in order to reduce the adverse effects from low-pass filter (LPF), DSOGI-FLL is used to accurately extract the back electromotive force (back-EMF) and effectively eliminate the high-order harmonic components. Finally, the proposed method is verified by simulation and experiment, and compared with a novel super-twisting algorithm-base SMO with a complex vector generalized integrator (STASMO-CVGI), the results show that the improved SMO has better performance.