Sensorless Control of Permanent Magnet Synchronous Motorized Spindles With Parameters Adjustment Based on Fuzzy Control Algorithm

A nonlinear flux observer (NFO) sensorless flux weakening control method based on a fuzzy extended state observer phase-locked loop (ESOPLL) is proposed to enhance the sensorless control performance of flux weakening states in the permanent magnet synchronous motorized spindles (PMSMS). First, the mathematical model of the PMSMS and the mechanism by which it operates in flux weakening mode are analyzed. Second, the design process of NFO and phase-locked loop (PLL) is analyzed. The ESOPLL algorithm is proposed to replace the PLL algorithm in order to improve the accuracy of rotor angle estimation and improve the stability of flux weakening control. In addition, a fuzzy control algorithm is proposed to dynamically adjust the observer gain and the ESOPLL bandwidth gain to form the NFO fuzzy ESOPLL (NFO-FESOPLL) method, so as to improve the dynamic disturbance rejection ability of PMSMS. Finally, the effectiveness of the proposed algorithm is proved on the experimental platform. The experimental results show that the proposed algorithm has higher dynamic adjustment ability and more stable field weakening control effect.