Fuzzy Modulated Model Predictive Control of a PV grid-tied Quasi-Z-Source System

Abstract

This paper investigatesthe design of a novel photovoltaic (PV) grid-tied quasi-Z-source inverter (qZSI)
controller, combining the Modulated Model Predictive Control (M2PC) and Fuzzy Logic Control (FLC)
techniques. The performance is compared to a Conventional M2PC (CM2PC) controller. To extract the maximum
PV power a straightforward current-based Perturb and Observe Maximum Power Point Tracking (P&O-MPPT)
algorithm is employed to generate the reference current for the FL controller. The suggested controllerexhibits a
high power efficiency, as well as rapid and effective tracking dynamics. In addition, it can autonomously inject
current into the grid with a power factor close to unity. Through comprehensive simulation and comparative
analysis, the high performance of the proposed controller is demonstrated, in terms of efficiency, accuracy,
speed, power quality and robustness.