A Robust Dual-Vector Model Predictive Current Control Scheme for Open-Winding Permanent Magnet Synchronous Motor Drives With Sliding Mode Observer

To reduce the switching frequency and enhance the parameter robustness of open-winding permanent magnet synchronous motors (OW-PMSMs) with isolated DC power sources, a novel dual-vector model predictive current control (DV-MPCC) method with sliding mode observer (SMO) is proposed. First, the DV-MPCC is presented in OW-PMSM system with isolated DC power sources, which can reduce the switching frequency of OW-PMSM system by 50% compared with the conventional deadbeat predictive current control (DPCC) method. Second, a SMO is innovatively applied to isolated OW-PMSM, which can estimate the disturbances caused by stator inductance, stator resistance, and flux linkage mismatch of OW-PMSM with isolated DC power sources. The stability of the observer is analyzed by the Lyapunov function. Then, combine the SMO and DV-MPCC, the disturbance observed by SMO is used to correct the reference voltage calculated by DV-MPCC, so as to obtain a more optimized switching state and duty cycle. To verify the proposed method, the conventional MPCC the DV-MPCC and the DV-MPCC+SMO methods are compared by simulations and experiments.