Integral Action Finite Set Model Predictive Current Control for Brushless DC Motor

This paper presents an integral action finite set model predictive control (I-FCS-MPC) to apply BLDC motor control. One of the advantages of this method is it allows the current timeslot to be optimized about energy (current or voltage), which will be expressed obviously by the controller design theory with one step future prediction; furthermore, an implementation strategy is given step by step. Evaluations with the other method about current and speed are considered based on the simulation results by the Simulink model. Through that assessment, the efficiency and feasibility of I-FCS-MPC are verified, and a combination technique solution also is proposed to elucidate the existing disadvantage of this method.