International Journal Of Engineering And Management Research
  • Year: 2022
  • Volume: 12
  • Issue: 3

An ANFIS control approach of a bi-directional buck-boost used for a battery charger

  • Author:
  • Tsiloavy Randjaka1,*, Solofanja Jeannie Rajonirina2, F. Philibert Andriniriniaimalaza3, Jean Nirinarison Razafinjaka4
  • Total Page Count: 10
  • Page Number: 30 to 39

1EDT ENRE, University of Antsiranana, Antsiranana, Madagascar

2EDT ENRE, University of Antsiranana, Antsiranana, Madagascar

3Higher Institute of Sciences and Technologies, University of Mahajanga, Mahajanga, Madagascar

4Higher Polytechnic School, University of Antsiranana, Antsiranana, Madagascar

*Corresponding Author: tsiloavy@gmail.com

Online Published on 17 September, 2022.

Abstract

In this work, a neuro-fuzzy regulator based on ANFIS is designed for the current control of a Bidirectional Buck-Boost chopper battery charger. First, a PI regulator is used in the control loop. Data from the PI regulator is extracted and then used to train ANFIS. The performances of the two PI and neuro-fuzzy commands were evaluated under the MATLAB/SIMULINK environment. According to the simulation results, it was found that the neuro-fuzzy regulator ANFIS is more effective in improving the current response by reducing the response time. In conclusion, the neuro-fuzzy control gives a better performance compared to the PI control.

Keywords

Buck-Boost, Bidirectional, PI, Neuro-fuzzy, ANFIS