Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter

摘要

Finite Control Set Model Predictive Control (FCS-MPC) allows to deal with non-linearities of the system and obtain a fast dynamic response. Therefore FCS-MPC is a good alternative to govern complex power converters or when fast transient operation is required. The main drawback of FCS-MPC is the performance obtained during the steady state, the main reason resides in the poor temporal resolution of FCS-MPC and the mismatch of the model parameters. This paper presents a new way to implement FCS-MPC to correct the mismatch in the model parameters and achieve a better performance in steady state. This is achieved through the incorporation of the past error in the action of the control, adding an additional term in the cost function with a variable weighting factor.