Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control

Abstract

Abstract During the operation of a permanent magnet synchronous motor (PMSM), the control system is impacted by changes in the internal parameters and by external disturbances, resulting in reduced accuracy. The robustness and anti‐interference ability of a PMSM can be improved using a speed loop‐current loop integrated predictive control method. First, a PMSM mathematical model is constructed considering parameter changes and external disturbances. Second, using only the input and output of the speed loop and the current loop, without involving any motor parameters, an ultra‐local model‐free predictive control model of the speed loop and the current loop is built; this model has a lower sensitivity to parameter changes. Finally, to improve the tracking accuracy for speed and current, an extended state observer (ESO) and a disturbance observation compensator (DOC) are established to observe the total disturbance of system in real time and perform feedforward compensation. The experimental results show that the control model has strong robustness and anti‐interference ability, high stability, high speed, and capable current‐tracking performance.

Keywords

• machine control
• predictive control
• synchronous motors
• feedforward
• permanent magnet motors
• angular velocity control