TY - GEN
T1 - Multivariable fractional-order model of a laboratory hydraulic canal with two pools
AU - Feliu-Batlle, Vicente
AU - San-Millán, Andrés
AU - Feliu-Talegón, Daniel
AU - Rivas-Pérez, Raúl
N1 - Publisher Copyright:
© 2017 European Union.
PY - 2017/11/8
Y1 - 2017/11/8
N2 - 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.
AB - 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.
KW - Fractional-order model
KW - Hydraulic canal
KW - Management of water resources
KW - Multivariable process
KW - System identification
UR - https://www.scopus.com/pages/publications/85028516587
U2 - 10.1109/CoDIT.2017.8102633
DO - 10.1109/CoDIT.2017.8102633
M3 - Conference contribution
AN - SCOPUS:85028516587
T3 - 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
SP - 450
EP - 455
BT - 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
Y2 - 5 April 2017 through 7 April 2017
ER -