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

http://dx.doi.org/10.46411/jpsoaphys.2020.01.07

Section  de la parution:  Information de publication

 

J. P. Soaphys, Vol 2, N°1 (2020) C20A07; 10 Mars 2021

Pages :  C20A07-1  à C20A07-6

DOI du journal   : https://doi.org/10.46411/jpsoaphys.journal
DOI du Numéro : https://doi.org/10.46411/jpsoaphys.journal.v2.1a
DOI de l’article  : http://dx.doi.org/10.46411/jpsoaphys.2020.01.07
Print ISSN: 2630-0958
Historique de la version : actuelle
 
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Information sur les auteur

Ndiaye El hadji Mbaye*,

Ndiaye Alphousseyni,

Faye Mactar

 

Affiliation

1 Research team energetic system and efficiency, Alioune Diop University of Bambey
2 Laboratory of Water, Energy, Environment and Industrial Processes, ESP, S-10700, Dakar-Fann, Senegal.

*To whom correspondances should be addressed. E-mail: elhadjimbaye.ndiaye@uadb.edu.sn

 

A B S T R A C T

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).

Mots clés : Low Voltage Grid, ANFIS, three-phase inverter, Modified PID, THD.

 

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