Finite-State Model Predictive Control With Integral Action Applied to a Single-Phase Z-Source Inverter

Abstract

Finite control set model predictive control can be applied to a power converter if there is an accurate existing model of the converter. The best results will be achieved if and only if the parameters and variables that make up the system are properly estimated. If this is not the case, the predictions made using these strategies may be erroneous and cause problems, such as steady-state error with respect to the assigned desired references. This paper presents a predictive control strategy with integral action that compensates for the differences between the estimated model and the inverter with the objective of achieving a zero steady-state error without requiring external loops or state observers. The proposed strategy is tested on a single-phase Z-source inverter so as to evaluate the error in both the ac and dc controlled variables with respect to their references to their cosigns. The experimental results confirm that the proposed strategy achieves a zero error in the steady state while maintaining the fast dynamic response of the classic predictive control.