Adaptive sliding mode control based on fuzzy logic for variable dead time processes.

Diego Baquero, Cristina Ochoa, Danilo Chávez, Oscar Camacho, Eliezer Colina

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

8 Citas (Scopus)

Resumen

This paper aims to show an adaptive control scheme of Sliding Mode Control and Fuzzy Logic to adjust the tuning parameters of a Sliding Mode Controller (SMC) when it is used for variable dead time systems. The idea behind this work is to take advantage of the fuzzy adapting part to improve the performance of the Sliding Mode Control approach. The original Sliding Mode Control yields a limited performance when applied to variable dead time processes. A simple identification procedure is used to obtain the characteristic parameters of the process. Later they are used to calculate the original tuning parameters of the Sliding Mode control, that represent the initial tuning values for the controller, then the fuzzy adaptive scheme part acts to adjust these tuning parameters in order to get a better performance.

Idioma originalInglés
Título de la publicación alojada2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas114-119
Número de páginas6
ISBN (versión digital)9781509064656
DOI
EstadoPublicada - 8 nov. 2017
Publicado de forma externa
Evento4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 - Barcelona, Espana
Duración: 5 abr. 20177 abr. 2017

Serie de la publicación

Nombre2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
Volumen2017-January

Conferencia

Conferencia4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
País/TerritorioEspana
CiudadBarcelona
Período5/04/177/04/17

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