Voltage utilization in Model Predictive Control for IPMSM

Model Predictive Control (MPC) includes a mathematical model of the controlled system. Based on this model optimal actuating variables for future timesteps are determined in every sampling step. Thus the MPC exhibits a better response to a setpoint step compared to conventional control. In this paper a Model Predictive Control method for nonlinear systems with inherent output saturation is presented. This approach offers real-time capability for online MPC even with process time constants in the range of milliseconds, enabling the use of MPC for control of permanent magnet synchronous motors with interior magnets (IPMSM). Besides the good dynamics, the utilization of the DC link voltage is important for these motor types. Since the MPC is able to utilize the available DC link voltage optimally, the MPC is superior to conventional controls not only in terms of dynamics. This is demonstrated by simulation results, as well as by measurements on a testbench.