RNA Identification Technique and RST Control of a Hybrid Indirect Matrix Converter with a Flying Capacitor Three Level Inverter in Power Active Filtering Application

Autor:	Ameur Taki Eddine, Benalia Atallah, Aissa Ameur
Rok vydání:	2021
Předmět:	Three level inverter Identification (information) Control and Systems Engineering Computer science Control theory Flying capacitor Matrix converters Electrical and Electronic Engineering Industrial and Manufacturing Engineering Computer Science Applications Power (physics)
Zdroj:	Journal Européen des Systèmes Automatisés. 54:743-749
ISSN:	2116-7087 1269-6935
DOI:	10.18280/jesa.540509
Popis:	The present paper deals with RST controller using implementation of neural architectures to control power electronics systems dedicated to power quality improvement in a distribution grid. We present a technique for designing a robust RST controller, The computation of the controller is used to enhance the control a Hybrid Indirect Matrix Converter with a flying capacitor three level inverter (HIMC) coupled to the power grid (PG) by an RL filter, the synthesizing of this RST controller is formulated through open and close loop. Artificial neuronal network (ANN) identification technique is used to define/extract this disturbance. Simulation results by MATLAB, Simscap/sim power system code shows the effectiveness of the proposed method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d5fa12157b7d764a864d0e16d800c33f https://doi.org/10.18280/jesa.540509 Zobrazit plný text záznamu