A Universal Model Predictive Control Strategy for Dual Inverters Fed OW-PMSM Drives
Yancheng Chen, Xueqing Wang, Xin Meng, Mingzhi He, Dianxun Xiao, Zheng Wang
Abstract
This article proposed a universal model predictive control (MPC) strategy for dual inverters fed open-winding permanent magnet synchronous motor drives where two isolated buses have arbitrary dc voltages. Diverse and unordered space vector distribution caused by different voltage ratios of dc buses that greatly increase the calculation burden for the conventional MPC algorithm is analyzed in detail. Based on this, a novel MPC strategy that is universally applicable to any voltage ratio is put forward, which could decrease the number of candidate vectors from 49 to less than 15 in every cycle. Although the computational burden is reduced, the output power quality is unaffected owing to the effective simplification of the vectors. Besides, an optimized switching algorithm is designed to adapt to the situation when the voltage ratio changes during the operation state. The experimental results are presented to verify the effectiveness of the proposed method.