Multimode Model Predictive Control for PMSM Drive System
Xiaoguang Zhang, Chenguang Zhang, Chi Xu, Shengwen Fan
Abstract
In order to improve the control performance of the motor model predictive control (MPC) system, a multimode hybrid-vector MPC strategy is proposed in this article, which is developed from the conventional double-vector MPC strategy. The proposed method extends the last voltage vector of the previous control period to the present control period according to the relationship between the last voltage vector of the previous control period and the first voltage vector of the present control period. Then, two voltage vectors or three voltage vectors are included in each control period, which forms the concept of the hybrid vector. Since a voltage vector is inherited from the previous control period, the proposed method can achieve better steady-state control performance at a lower switching frequency, considering the two adjacent control periods as a whole. Finally, comparative experiments demonstrate that the proposed method has better steady-state control performance at the same switching frequency.