Dynamic Loss Minimization of Finite Control Set-Model Predictive Torque Control for Electric Drive System

This paper proposes a dynamic optimization strategy of finite control set-model predictive torque control for permanent magnet synchronous machines, which takes into account the inverter losses and machine losses simultaneously. In order to reduce the switching losses (or to optimize the switching sequence) of the inverter, a recognized and feasible constrain which considers the accumulated ON/OFF times of the switches is implemented. The machine losses are taken into account by utilizing an optimal stator flux reference. An alternative loss model control method is proposed to calculate the optimal stator flux reference, which combines the conventional maximum torque/ampere method and the conventional loss model control method. Furthermore, a discrete-time machine model is introduced, which can reduce the predictive error at relative low switching frequency. The key results are illustrated by a combination of simulation and prototype interior permanent magnet machine drive measurements.