Optimized Control Set Model Predictive Control for Dual Three-Phase PMSM With Minimum Error Duty Cycle Regulation

The conventional model predictive control for dual three-phase permanent magnet synchronous motor suffers from poor operational performance and heavy computational burdens. Aiming to solve the two problems, this article proposes an optimized control set model predictive control with a minimum error duty cycle strategy. First, a new form of 24 virtual voltage vector control set is constructed. All voltage vectors in the new control set are pointed in different directions and distributed uniformly, which are facilitated by combining with duty cycle modulation techniques. The control precision can be enhanced by employing the new control with more candidate vectors. Furthermore, a minimum error duty cycle calculation method is proposed in the scheme, where the currents of the dq-axis are considered simultaneously even if one active voltage vector is employed. So, the errors between the reference voltage and the selected voltage vector can be reduced. Thus, the operational performance can be significantly improved. Especially, a multistage group evaluation method is proposed to simplify the enumeration process, which guarantees that the proposed strategy can evaluate more vectors with less computational burden. Comprehensive experiments are carried out to verify the effectiveness of the proposed method.