Multidisturbance Suppressed Model Predictive Direct Speed Control With Low Pulsation for PMSM Drives

Abstract

Model predictive direct speed control (MPDSC), with a simple structure and without parameter tuning required, can use only one controller to constrain the speed and current of the motor at the same time. First, a direct voltage vector selection-based three-vector model predictive speed control, simplifying the optimization process, is proposed in this article, which reduces the pulsation of current and speed without increasing the computational burden compared with MPDSC. At the same time, because of the reasonable distribution of voltage vectors in the proposed three-vector method, the quality of the control and modulation has been significantly improved. Second, a multidisturbance Luenberger observer is designed to observe mechanical and electrical disturbances and to make further compensation, which reduced the influence of model mismatch, load torque, and unmodeled dynamics simultaneously and avoided the use of multiple observers, with fewer parameters and easier tuning. The experiment is presented to validate the effectiveness of the proposed method on the 7.5-kW experiment platform.