Two-Vector Based Low-Complexity Model Predictive Flux Control For Current-Source Inverter-Fed Induction Motor Drive

Model predictive control is an effective approach to achieve high performance on electric motor drives. In this study, a two-vector based low-complexity model predictive flux control (TVLC-MPFC) is proposed and introduced for low power current-source inverter (CSI)-fed induction motor (IM) drive. In contrast to conventional two-vector based model predictive flux control (TV-MPFC), TVLC-MPFC is a more simplified scheme with a lower calculation burden, which eliminates the requirement on the iteration procedures to obtain the results of the optimal current vector combination with optimal dwell time. Moreover, since TVLC-MPFC avoids the possibility of selecting the wrong vector combination in some cases, which would happen with conventional TV-MPFC, it presents better output performance than TV-MPFC. The robustness of TVLC-MPFC under parameter uncertainty is discussed as well. Experimental tests are carried out on a low power CSI-fed IM drive (5 kW/208 V/14.3 A) and verify the effectiveness of the proposed scheme.