Low voltage grid connected three-phase inverter control with hybrid neuro-fuzzy

Autor: Faye Mactar, Ndiaye El hadji Mbaye, Ndiaye Alphousseyni, Industrial Processes, Esp, S , Dakar-Fann, Senegal.
Rok vydání: 2021
Předmět:
Zdroj: Journal de Physique de la SOAPHYS. 2:C20A07-1
ISSN: 2630-0958
DOI: 10.46411/jpsoaphys.2020.01.07
Popis: In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) and Modified Proportional Integral Derivate (MPID) are used for respectively DC-link voltage regulation and grid currents regulation for grid connected three-phase inverter. The main purpose of this work is to reduce the fluctuation on DC-link voltage and the Total Harmonic Distortion (THD) on the injected currents. Indeed, the use of Proportional-Integral (PI) controller cannot achieve these objectives due to their disturbances sensitivity problem and limited regulation bandwidth. To avoid these problems, an ANFIS regulator has been designed. Results show that ANFIS has a very short response time (Rt) 0.097 s with no overshoot (D).
Databáze: OpenAIRE