Weighting Factor Design in Model Predictive Control for Power Converters

Model-based predictive control is an important multi-objective control strategy in power converters, but it must be properly designed. This research shows different alternatives to improve the cost function in model-based predictive control. For this purpose, the procedure for adjusting the weight factors in the cost functions, all relevant elements and some examples that demonstrate the influence of each term in the equation is presented. The cost functions are characterized and simulated to verify the effectiveness of the working method and the claims made in this investigation. It was found that modelbased predictive control is a powerful alternative when there are multiple objectives, which can be included efficiently within a cost function. However, it is necessary to investigate the ideal value of each of these terms.