Model Calibration for a Hydraulic Network Using Genetic Algorithms

https://doi.org/10.58571/CNCA.AMCA.2022.015

Resumen: This paper addresses the problem of parameter calibration in pipelines based on a Genetic Algorithm (GA). The parameters under consideration are the pipe roughness and the minor loss coefficient caused by fittings like valves, elbows, and couplings. These parameters cannot be directly measured, and their accuracy plays an essential role in successfully implementing leak diagnosis algorithms. The proposed GA generates calibrated values for both pipe roughness and minor loss coefficient by minimizing the root mean squared error (RMSE) in predicting pressures. The method was implemented in MATLAB and the calibration was validated in an experimental network by comparing the pressure heads measured at the nodes of the network and those from the calibrated model simulated with EPANET.

¿Cómo citar?

Gómez-Coronel, L., Santos-Ruiz, I., Torres, L., López-Estrada, F. & Delgado-Aguiñaga, J. Model Calibration for a Hydraulic Network Using Genetic Algorithms. Memorias del Congreso Nacional de Control Automático, pp. 146-151, 2022. https://doi.org/10.58571/CNCA.AMCA.2022.015

Palabras clave

Modelado e Identificación de Sistemas; Cómputo para Control; Detección y Aislamiento de Fallas

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