Multivariable fractional-order model of a laboratory hydraulic canal with two pools

Vicente Feliu-Batlle, Andrés San-Millán, Daniel Feliu-Talegón, Raúl Rivas-Pérez

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

4 Citas (Scopus)

Resumen

In this paper a fractional order model for an irrigation main canal is proposed. This system has two pools that present a strong interaction between them. Then a multivariable model with two inputs: the pump flow and the opening of an intermediate gate, and two outputs: the water levels in the two pools, is derived. The identification of the model parameters is based on the experiments developed in a laboratory prototype of a hydraulic canal and the application of a direct system identification methodology. The accuracy of the proposed fractional order models is compared with the standard integer-order models of the canal. The parameters of the mathematical models have been identified by minimizing the Integral Square Error Index (ISE) existing between the time responses of the models and the real-time experimental data obtained from the canal prototype. A comparison of the performances of the integer-order and fractional-order models shows that the fractional-order model has significantly lower error: about 30%, and, therefore, higher accuracy in capturing the canal dynamics.

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.
Páginas450-455
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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