Adaptive disturbance observer based on quasi proportional resonant for PMLSM thrust ripple suppression
摘要
To address the thrust ripple problem of Permanent Magnet Linear Synchronous Motors used in direct-drive Computer Numerically Controlled machines, an Adaptive Disturbance Observer based on Quasi Proportional Resonant (QPR-ADO) is proposed. Firstly, the thrust ripple of PMLSM is modeled, dividing it into positioning force disturbance and non-periodic disturbance. Secondly, the propagation path of the double-frequency component in the positioning force disturbance is analyzed, and an inductance parameter identification method is used to block the accumulation of double-frequency errors. Combining the QPR controller, an adaptive control law is designed, and the identified inductance parameters are input into the ADO to achieve precise suppression of non-periodic disturbance components. A delay compensation module is added to the ADO to offset the inherent phase lag of the low-pass filter. Finally, the experimental results demonstrate that, when the PMLSM is operating at both rated speed and high-speed conditions, the thrust ripple suppression method based on QPR-ADO provides significant advantages over current mainstream control strategies.