Simulation-based weight factor selection and FPGA prediction core implementation for finite-set model based predictive control of power electronics

Model-based predictive control (MBPC) for power-electronic converters offers fast and accurate control. Based on the prediction of the future system states the optimal control input sequence is obtained by calculating a cost for each sequence. The control objectives are expressed as terms in the cost function which are weighted to divide the control effort. However, selecting good values for the weight factors is not a trivial task. In this paper a method is discussed for the weight factor selection based on extensive system simulations. The simulation approach for the hybrid system of power electronic converter and its load is discussed as well.