Efficiency-optimized Model Predictive Torque Control for IPMSM

Model Predictive Control (MPC) offers a variety of advantages compared to conventional control methods. A MPC includes a process model of the system to be controlled. Based on this model the controller determines the optimal actuating variable for future timesteps in every sampling step. In this paper a Direct Torque Model Predictive Control (DT-MPC) method for nonlinear systems with inherent output saturation is presented. This approach offers real-time capability for online MPC even for processes with time constants in the millisecond range. Furthermore, it is shown in this paper, how the optimization algorithm in the MPC can be used in order to achieve optimized efficiency of interior permanent magnet synchronous motors (IPMSM). Using the results of simulation the good control performance as well as the optimization of the efficiency of an electrical drive train can be shown. Thus, the DT-MPC provides maximum torque per current (MTPC) operating currents without the need of additional operating point choice.