To enhance the robustness of three vector model predictive current control for permanent magnet synchronous motor (PMSM) with parameter mismatch

a novel three-vector model-free current control strategy for PMSM based on the super-twisting integral sliding mode observer is proposed. Based on the mathematical model of PMSM considering the parameter mismatch

a new ultra-local model of the PMSM is established. The super-twisting integral sliding mode observer is designed to quickly and accurately estimate the unknown disturbance in the new ultra-local model

and the feedforward compensation is carried out to reduce the influence of the parameter mismatch on the system performance. The vector duty cycle calculation method based on voltage error is adopted. By introducing voltage error

the calculation of predicted current is avoided

thereby reducing the calculation of the control system. The control performance and calculation of the proposed control method

three-vector model predictive current control

three-vector model-free predictive current control based on algebraic identification

and three-vector model-free predictive current control based on the sliding mode observer are compared and analyzed by experiments. The results show that the proposed control method has stronger robustness and smaller calculation while maintaining the control performance of the motor.