ANN Identification technique and fuzzy PI Control of a Hybrid Indirect Matrix Converter with a Flying Capacitor three level Inverter in Power Active Filtering Application

Year 2023, Volume: 36 Issue: 3, 1159 - 1169, 01.09.2023

Taki Eddine Ameur Aissa Ameur Benalia Atallah

https://doi.org/10.35378/gujs.1001559

Cited By: 1

Abstract

The current paper is concerned with fuzzy controllers employing neural networks to implement control over power electronics systems committed to power quality improvement in a distribution grid. An optimization method technique for tuning fuzzy PI controller gains is introduced to improve a Hybrid Indirect Matrix Converter's control with a flying capacitor three-level inverter (HIMC), and it is connected via an RL filter to the power grid (PG). The harmonics are identified by an Artificial Neural Network (ANN). The effectiveness of this method is shown in the simulation results by MATLAB/Simulink ( Simscap, simpower blocks).

Keywords

Active power filtering, Artificial neuronal network, Flying capacitor inverter, Indirect matrix converter, RST controller

Supporting Institution

Amar Telidji University

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