Dual-vector model predictive current control for brushless DC motors

Abstract To overcome the limitations of classical MPCC for brushless DC motors, which allows only one voltage vector per cycle causing tracking issues, we propose a dual-vector MPCC strategy. This divides the voltage vector plane into six sectors and 14 sub-sectors. By identifying the sub-sector, the optimal voltage vector combination is selected, and action times are calculated to minimize the cost function. This uses two voltage vectors per cycle. Effectiveness is confirmed through simulations.