An ANFIS Control Approach of a Bi-Directional Buck-Boost used for a Battery Charger
DOI:
https://doi.org/10.31033/ijemr.12.3.5Keywords:
Buck-Boost, Bidirectional, PI, Neuro-fuzzy, ANFISAbstract
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.
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Copyright (c) 2022 Tsiloavy Randjaka, Solofanja Jeannie Rajonirina, F. Philibert Andriniriniaimalaza, Jean Nirinarison Razafinjaka
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
