This research paper studies and highlights the features of most popular finite control set model predictive (FCS-MPC) strategies available in state art, which are optimal switching vector (OSV-MPC), modulated (M2PC), sequence (OSS-MPC) methods. Thus, these studied experimentally by analyzing transient steady performance using a grid tie conventional three-phase two-level voltage source inverter...

Despite its advantages, the LCL filter can significantly distort grid current and constitute a substantially more complex control issue for grid-connected distributed generators (DGs). This paper presents an active damping approach to deal with filter's oscillation finite-control-set model predictive (FCS-MPC)-three-phase voltage source inverters (VSIs)-based DG. The new approaches use multivar...

This study presents a detailed description of a cost function-based predictive control strategy called Finite Control Set Model Predictive Control (FCS-MPC) and its applications to the control of power electronics converters. The basic concepts, operating principles and general properties of this control technique have been explained. The analysis is performed on two different power converter t...

Model Predictive Control (MPC) provides various advantages over traditional controllers in power electronics applications. However, reducing the complexity and computational burden of Finite-control set-model predictive control (FCS-MPC) multi-leg multilevel inverters is still a challenging task. In this paper, simplified model direct (MPDPC) for three-level, four-leg grid-connected converter (...