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

Authors : Taki Eddine AMEUR, Aissa AMEUR, Benalia ATALLAH

Pages : 1159-1169

Doi:10.35378/gujs.1001559

View : 160 | Download : 265

Publication Date : 2023-09-01

Article Type : Research Paper

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 insert ignore into journalissuearticles values(HIMC);, and it is connected via an RL filter to the power grid insert ignore into journalissuearticles values(PG);. The harmonics are identified by an Artificial Neural Network insert ignore into journalissuearticles values(ANN);. The effectiveness of this method is shown in the simulation results by MATLAB/Simulink insert ignore into journalissuearticles values( Simscap, simpower blocks);.
Keywords : Active power filtering, Artificial neuronal network, Flying capacitor inverter, Indirect matrix converter, RST controller