Improved Finite Control Set Model Predictive Control for Permanent Magnet Synchronous Motor Drives with Current Ripple Minimization

Abstract

Finite Control Set Model Predictive Control (FCSMPC) is widely recognized as a simple and effective control strategy for electric motor drives. It achieves quick dynamic response but suffers from large current ripples and unsatisfied steady-state performance. By introducing the concept of duty cycle, the steady-state performance gets improved but still results in large current ripples, especially under higher rotor speed. This paper proposes an improved FCSMPC which combines the concept of duty cycle and virtual voltage vectors. It applies optimal virtual voltage vector at every sampling interval that reduces the current ripples by successfully eliminating the error between the reference value and the actual value of the current. The optimal virtual voltage vector is realized by at most two suboptimal active voltage vectors and one null voltage vector in proper duty cycle ratios. The outstanding performance of the proposed method is validated by experiment for an interior permanent magnet synchronous machine.