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

Gabriel Salazar, Francisco Rossomando, Oscar Camacho

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

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 originalInglés
Título de la publicación alojada2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control
Subtítulo de la publicación alojadaFor the Development of Sustainable Agricultural Systems, ICA-ACCA 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665494083
DOI
EstadoPublicada - 2022
Evento2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022 - Virtual, Online, Chile
Duración: 24 oct. 202228 oct. 2022

Serie de la publicación

Nombre2022 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

Conferencia2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022
País/TerritorioChile
CiudadVirtual, Online
Período24/10/2228/10/22

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