A Method to Eliminate Steady-State Error of Model Predictive Control in Power Electronics

Finite control set model predictive control (FCS-MPC) allows dealing with nonlinearities of the system and obtains 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 steady state, one of the problems is the presence of nonzero error in steady state. This paper presents a new way to implement FCS-MPC to correct the mismatch in the model parameters and eliminate the error 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.