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

Ingeniería Electrónica y Automatización

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control
Subtítulo de la publicación alojada	For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665494083
DOI	https://doi.org/10.1109/ICA-ACCA56767.2022.10006148
Estado	Publicada - 2022
Evento	2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022 - Virtual, Online, Chile Duración: 24 oct. 2022 → 28 oct. 2022

Serie de la publicación

Nombre	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

Conferencia

Conferencia	2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022
País/Territorio	Chile
Ciudad	Virtual, Online
Período	24/10/22 → 28/10/22

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10.1109/ICA-ACCA56767.2022.10006148

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Salazar, G., Rossomando, F., & Camacho, O. (2022). An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. En 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.",

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

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Salazar, G, Rossomando, F & Camacho, O 2022, An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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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.

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Salazar G, Rossomando F, Camacho O. An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. En 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

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