Effect of model parameter errors in model predictive control applications

When implementing predictive control strategies for power electronic converters a good model of the system is needed because this model determines the quality of the resulting controller. In this paper a study of the model parameter error effects in predictive control applications is presented. The results show that by considering a short sampling time, there can be a significant impact if there are variations in the resistance and inductance values.