Multivector Predictive Current Control for Five-Phase PM Motor by Using Hybrid Duty Modulation Technology

Abstract

The finite control set (FCS) model predictive current control (MPCC) is a promising control scheme for the five-phase drives due to the easy-tuning process. However, the deteriorated operational performance and huge computational burden are the real challenges. This article proposes a multivector FCS-MPCC, which can improve the operational performances without increasing computational burden. In the proposed method, the candidate virtual voltage vectors with harmonics-free are employed as the basic control set. Then, each sector is partitioned to generate more available vectors. The duty-cycle modulation technology is used to optimize the amplitude of the candidate vector. Therefore, a better control effect can be obtained. Also, a sector judgment method is proposed to determine the optimal control set, which can reduce the computational burden. By using this method, the optimal vector can be selected accurately without evaluating all the available vectors. Thus, the computational burden can be alleviated. The experimental results are presented to confirm the effectiveness of the proposed multivector FCS-MPCC method.