Predictive deadbeat current control of five-phase BLDC machines

Model predictive control algorithms have recently gained more importance in the field of power electronics and motor drives. One of the important categories of model predictive control methods is improved deadbeat control in which the reverse system model is used to calculate the appropriate inputs for the next iteration of controlling process. In this paper, a new improved deadbeat algorithm is proposed to control the stator currents of a five-phase BLDC machine. Extended Kalman filter is used in the structure of proposed controlling method, and system model equations are used to calculate the appropriate voltages for the next modulation period. Proposed controlling method is evaluated by simulations in MATLAB environment.