Model predictive current control (MPCC) schemes have been considered as a promising control technique for voltage source inverters (VSIs). However, the computational burden reduction, harmonic currents elimination, and common-mode voltage (CMV) mitigation are special issues when MPCC schemes are applied to five-phase VSIs. Moreover, it is time-consuming to tune weighting factors for the multiple control objectives. To address these problems, this article proposes two computationally efficient MPCC schemes based on virtual voltage vectors ( $\text{V}^{3}\text{s}$ ), named MPCC-V3-RCMV1 and MPCC-V3-RCMV2. The former one achieves lower harmonics, whereas the latter one achieves lower switching frequency. The $\text{V}^{3}\text{s}$ are defined with basic voltage vectors that generate small CMV; hence, inherent CMV reduction can be achieved. The proposed MPCC schemes simplify the controller by redefining the cost function and control set, which reduces the computational effort significantly. Besides, the proposed MPCCs can improve the quality of current waveforms. Simulations and experiments are carried out to verify the effectiveness of the proposed control schemes.
Virtual Voltage Vector-Based Model Predictive Current Control for Five-Phase VSIs With Common-Mode Voltage Reduction
IEEE Transactions on Transportation Electrification ; 7 , 2 ; 706-717
2021-06-01
5565021 byte
Article (Journal)
Electronic Resource
English
Stability Analysis and Controller Synthesis for Single-Loop Voltage-Controlled VSIs
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