Abstract：During the joint operation of permanent magnet direct drive wind power generation systems，the

changes in motor side parameters may cause problems such as reduce control accuracy and stability on the machine

side，which in turn affects the DC bus voltage of the converter，leading to power fluctuations on the grid side and

posing a threat to the stability of the power system. When using traditional single vector model free predictive

control on the machine side，although it effectively improves system robustness，there is still a problem of poor

control effect. Therefore，an improved model free predictive control suitable for permanent magnet direct drive

wind power generation systems was proposed to maintain system robustness while improving steady-state control

performance. Firstly，the machine side and grid side models during the joint operation of the system were analyzed.

Secondly，through the method of the extended finite control set，the traditional finite control set was optimized.

Combined with the model free predictive control concept of traditional current difference，the proposed method

improves the prediction accuracy of the control method and reduces current and power ripple. Finally，the

effectiveness and superiority of the proposed method were verified through experiments.

      Key words：permanent magnet direct drive；model free predictive contro（l MFPC）；finite control set