Model Predictive Control for PMSM Drives With Variable Dead-Zone Time
Xiaoguang Zhang, Zhihao Zhao
Abstract
A double vector model predictive control (DV-MPC) with variable dead-zone time is proposed in this article, in order to improve the current steady-state control performance. It breaks the default rule of fixed dead-zone time in the traditional method and equates dead-zone to a voltage vector with adjustable action time. First, the dead-zone effect is analyzed in DV-MPC, and the judgment principle of dead-zone voltage vector is introduced. Then, the dead-zone duration of each control period is calculated and allocated, and the optimal combination of voltage vector and action time is selected by cost function. Finally, experimental results show that the proposed method can not only reduce the current harmonic content, but also reduce the switching frequency, compared with conventional method.