Artificial Bee Colony Optimization Approach for an Adaptive Fuzzy Sliding Mode Controller in a pH Neutralization Reactor

Jorge Espin, Sebastian Estrada, Diego S. Benitez, Oscar Camacho

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This work presents an adaptive sliding mode controller based on Takagi and Sugeno's (TS) fuzzy models and Smith predictor concepts optimized by the artificial bee colony algorithm. In order to test the proposed control scheme, a pH neutralization reactor was modeled using experimental methods around different operating points. Several reference changes are used to test the proposed approach against the traditional PID approach and the sliding mode controller combined with the TS fuzzy model. Performance metrics are used for quantitative comparison.

Idioma originalInglés
Título de la publicación alojada2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665480147
DOI
EstadoPublicada - 2022
Evento2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 - San Juan, Argentina
Duración: 7 sep. 20229 sep. 2022

Serie de la publicación

Nombre2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

Conferencia

Conferencia2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
País/TerritorioArgentina
CiudadSan Juan
Período7/09/229/09/22

Huella

Profundice en los temas de investigación de 'Artificial Bee Colony Optimization Approach for an Adaptive Fuzzy Sliding Mode Controller in a pH Neutralization Reactor'. En conjunto forman una huella única.

Citar esto