A Novel Three-Vectors-Based Model Predictive Flux Control of Induction Motor Drives

Recently, model predictive flux control (MPFC) has been proposed to cope with the tedious weighting factor tuning work required in conventional model predictive torque control (MPTC). However, similar to MPTC, MPFC presents high torque and current ripples if only one voltage vector are applied during each control period. To improve the steady state performance of MPFC and MPTC, various two-vectors-based schemes can be found in the existing literature. Although better performance can be expected if three vectors are selected during one control period, the complexity would also be increased significantly, which makes its practical application difficult. To address this problem, a simple yet very effective three-vectors-based MPFC is proposed in this paper. The novel method can achieve better performance than that of single-vector and two-vectors-based MPFC. The effectiveness of the proposed three-vectors-based MPFC is verified by the experimental testes, which were carried out on a two-level inverter-fed induction motor (IM) drive platform.