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

doi:10.1109/ARGENCON55245.2022.9939781

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

Ingeniería Electrónica y Automatización

Universidad San Francisco de Quito

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665480147
DOIs	https://doi.org/10.1109/ARGENCON55245.2022.9939781
State	Published - 2022
Event	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 - San Juan, Argentina Duration: 7 Sep 2022 → 9 Sep 2022

Publication series

Name	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

Conference

Conference	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
Country/Territory	Argentina
City	San Juan
Period	7/09/22 → 9/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Adaptive Control
Artificial Bee Colony algorithm
Sliding Mode Control
Takagi-Sugeno fuzzy systems

Access to Document

10.1109/ARGENCON55245.2022.9939781

Cite this

Espin, J., Estrada, S., Benitez, D. S., & Camacho, O. (2022). Artificial Bee Colony Optimization Approach for an Adaptive Fuzzy Sliding Mode Controller in a pH Neutralization Reactor. In 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 (2022 IEEE Biennial Congress of Argentina, ARGENCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ARGENCON55245.2022.9939781

@inproceedings{fb6f56288c624e378f802a39f9626c8f,

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

abstract = "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.",

keywords = "Adaptive Control, Artificial Bee Colony algorithm, Sliding Mode Control, Takagi-Sugeno fuzzy systems",

author = "Jorge Espin and Sebastian Estrada and Benitez, \{Diego S.\} and Oscar Camacho",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 ; Conference date: 07-09-2022 Through 09-09-2022",

year = "2022",

doi = "10.1109/ARGENCON55245.2022.9939781",

language = "Ingl{\'e}s",

series = "2022 IEEE Biennial Congress of Argentina, ARGENCON 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Biennial Congress of Argentina, ARGENCON 2022",

}

Espin, J, Estrada, S, Benitez, DS & Camacho, O 2022, Artificial Bee Colony Optimization Approach for an Adaptive Fuzzy Sliding Mode Controller in a pH Neutralization Reactor. in 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022. 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022, San Juan, Argentina, 7/09/22. https://doi.org/10.1109/ARGENCON55245.2022.9939781

Artificial Bee Colony Optimization Approach for an Adaptive Fuzzy Sliding Mode Controller in a pH Neutralization Reactor. / Espin, Jorge; Estrada, Sebastian; Benitez, Diego S. et al.
2022 IEEE Biennial Congress of Argentina, ARGENCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Biennial Congress of Argentina, ARGENCON 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Artificial Bee Colony Optimization Approach for an Adaptive Fuzzy Sliding Mode Controller in a pH Neutralization Reactor

AU - Espin, Jorge

AU - Estrada, Sebastian

AU - Benitez, Diego S.

AU - Camacho, Oscar

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Adaptive Control

KW - Artificial Bee Colony algorithm

KW - Sliding Mode Control

KW - Takagi-Sugeno fuzzy systems

UR - https://www.scopus.com/pages/publications/85142383009

U2 - 10.1109/ARGENCON55245.2022.9939781

DO - 10.1109/ARGENCON55245.2022.9939781

M3 - Contribución a la conferencia

AN - SCOPUS:85142383009

T3 - 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

BT - 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

Y2 - 7 September 2022 through 9 September 2022

ER -

Espin J, Estrada S, Benitez DS , Camacho O. Artificial Bee Colony Optimization Approach for an Adaptive Fuzzy Sliding Mode Controller in a pH Neutralization Reactor. In 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE Biennial Congress of Argentina, ARGENCON 2022). doi: 10.1109/ARGENCON55245.2022.9939781

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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