An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation

Gabriel Salazar; Francisco Rossomando; Oscar Camacho

doi:10.1109/ICA-ACCA56767.2022.10006148

An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation

Gabriel Salazar^*
, Francisco Rossomando
, Oscar Camacho

^*Corresponding author for this work

Ingeniería Electrónica y Automatización

Universidad San Francisco de Quito
Universidad Nacional de San Juan

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

2 Scopus citations

Abstract

The current work includes an experimental evaluation using a device known as TCLAB as a benchmark. A NARX neural network is used to identify the thermal process in a broad operation region and can be considered the model of reference. The control scheme employs a neuro-fuzzy adaptive control. The controller systems work by comparing the neural netwok model to the actual process, and from this comparison a model error can be obtained; if the modeling error is different from zero, a fuzzy system adjusts the PID tuning parameters to get the best performance in the operating point. The proposed approach implementation is compared to a typical PID controller are noticeable the improving of settling time for disturbances rejection.

Original language	English
Title of host publication	2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control
Subtitle of host publication	For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665494083
DOIs	https://doi.org/10.1109/ICA-ACCA56767.2022.10006148
State	Published - 2022
Event	2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022 - Virtual, Online, Chile Duration: 24 Oct 2022 → 28 Oct 2022

Publication series

Name	2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022

Conference

Conference	2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022
Country/Territory	Chile
City	Virtual, Online
Period	24/10/22 → 28/10/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Automatic Control
Fuzzy Control
NARX
adaptive
adaptive neuro-fuzzy
neural networks
neuro-fuzzy

Access to Document

10.1109/ICA-ACCA56767.2022.10006148

Cite this

Salazar, G., Rossomando, F., & Camacho, O. (2022). An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. In 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022 (2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICA-ACCA56767.2022.10006148

Salazar, Gabriel ; Rossomando, Francisco ; Camacho, Oscar. / An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems : An Experimental Validation. 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022).

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title = "An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation",

abstract = "The current work includes an experimental evaluation using a device known as TCLAB as a benchmark. A NARX neural network is used to identify the thermal process in a broad operation region and can be considered the model of reference. The control scheme employs a neuro-fuzzy adaptive control. The controller systems work by comparing the neural netwok model to the actual process, and from this comparison a model error can be obtained; if the modeling error is different from zero, a fuzzy system adjusts the PID tuning parameters to get the best performance in the operating point. The proposed approach implementation is compared to a typical PID controller are noticeable the improving of settling time for disturbances rejection.",

keywords = "Automatic Control, Fuzzy Control, NARX, adaptive, adaptive neuro-fuzzy, neural networks, neuro-fuzzy",

author = "Gabriel Salazar and Francisco Rossomando and Oscar Camacho",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022 ; Conference date: 24-10-2022 Through 28-10-2022",

year = "2022",

doi = "10.1109/ICA-ACCA56767.2022.10006148",

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

series = "2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022",

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

booktitle = "2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control",

}

Salazar, G, Rossomando, F & Camacho, O 2022, An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. in 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022. 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022, Virtual, Online, Chile, 24/10/22. https://doi.org/10.1109/ICA-ACCA56767.2022.10006148

An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. / Salazar, Gabriel; Rossomando, Francisco; Camacho, Oscar.
2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022).

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

TY - GEN

T1 - An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems

T2 - 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022

AU - Salazar, Gabriel

AU - Rossomando, Francisco

AU - Camacho, Oscar

PY - 2022

Y1 - 2022

N2 - The current work includes an experimental evaluation using a device known as TCLAB as a benchmark. A NARX neural network is used to identify the thermal process in a broad operation region and can be considered the model of reference. The control scheme employs a neuro-fuzzy adaptive control. The controller systems work by comparing the neural netwok model to the actual process, and from this comparison a model error can be obtained; if the modeling error is different from zero, a fuzzy system adjusts the PID tuning parameters to get the best performance in the operating point. The proposed approach implementation is compared to a typical PID controller are noticeable the improving of settling time for disturbances rejection.

AB - The current work includes an experimental evaluation using a device known as TCLAB as a benchmark. A NARX neural network is used to identify the thermal process in a broad operation region and can be considered the model of reference. The control scheme employs a neuro-fuzzy adaptive control. The controller systems work by comparing the neural netwok model to the actual process, and from this comparison a model error can be obtained; if the modeling error is different from zero, a fuzzy system adjusts the PID tuning parameters to get the best performance in the operating point. The proposed approach implementation is compared to a typical PID controller are noticeable the improving of settling time for disturbances rejection.

KW - Automatic Control

KW - Fuzzy Control

KW - NARX

KW - adaptive

KW - adaptive neuro-fuzzy

KW - neural networks

KW - neuro-fuzzy

UR - https://www.scopus.com/pages/publications/85147091622

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DO - 10.1109/ICA-ACCA56767.2022.10006148

M3 - Contribución a la conferencia

AN - SCOPUS:85147091622

T3 - 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022

BT - 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 24 October 2022 through 28 October 2022

ER -

Salazar G, Rossomando F, Camacho O. An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. In 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022). doi: 10.1109/ICA-ACCA56767.2022.10006148

An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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