Amplitude Model Predictive Current Control Strategy for Permanent Magnet Synchronous Motor Drives

The finite control set model predictive current control (MPCC) method for permanent magnet synchronous motor (PMSM) is a simple control method but there are high current harmonics in the motor's three-phase current because of the limited number of voltage vectors. For this problem, a new amplitude model predictive current control (AMPCC) method based on the voltage amplitude in rotating coordinate reference system is proposed in this paper. By analyzing the motor's voltage model under rotating coordinate reference system, a suitable dynamic range of dq-axis voltage amplitude is designed for cost function. According to this range, the amplitude dynamic control set of prediction model is designed, and the optimal solution is selected by iterative method. The optimal vector is synthesized based on the real rotor position and optimal amplitude, so phase error of it is relatively small. And the dynamic amplitude range can reduce amplitude error, and thus a significant suppression of current ripple and prediction error. Meanwhile, the triangular function's avoidance in iterative calculation makes the algorithm compute less complex. Finally, this method is proved that it effectively reduces the current harmonics of the motor and improves the steady-state performance by building experimental verification.