Model Predictive Control in Three-Phase Inverters

Abstract

Model-based predictive control is a recent alternative to improve the quality of the output in power converters. In this research, predictive current control is implemented in a voltage source inverter, operating at a variable switching frequency and at fixed switching frequency. Experimental results allowed to verify the effectiveness of the predictive controller, as well as the advantages of the commutation strategies at variable frequency and to fixed frequency. Values such as the percentage of total harmonic distortion (THD) and the absolute error of current allow to demonstrate the superiority of the strategies at fixed frequency in comparison with the classical control.

Microgrid Power Sharing Framework for Software Defined Networking and Cybersecurity Analysis

“…The example presented in this work includes four Voltage Source inverters (VSI), interconnected through line impedances. Each inverter is controlled by FCS-MPC, which improves dynamic response [44] and adds the capacity to send/receive information in real-time from/to GNS3 (steps 2 and 3 of Fig. 2).…”

“…As is common in the literature [44], it is assumed that each DG interfaces with the MG loads via a Voltage Source Inverter (VSI). A cost function considering the currents in coordinates α, β, is obtained through equation (11).…”

Predictive Control Operating at Fixed Switching Frequency of an Induction Machine Fed by a Voltage Source Inverter

“…A partir de estos vectores óptimos v opt 1 y v opt 2 y sus respectivos tiempos en los que serán aplicados (T 0 , T 1 y T 2 ), se establece un patrón de conmutación, que consta de siete pasos tal como se representa en la Fig. 4, generando así una conmutación a frecuencia fija [16]:…”

Predictive control techniques applied to a 2L-VSI

“…De este modo, se puede calcular las variables de control futuras para lograr que las variables controladas converjan a sus respectivos valores de referencia en dicho horizonte [2]. Pero, teniendo en cuenta que es una estrategia de control de optimización basada en modelos, implica una gran cantidad de cálculos [3].…”