Application of Mathematical Models to Estimate the Water Level Stability in a Two-Tank System in Series with Service Demand Variations

Nilthon Arce, José Piedra, Eder Escobar, Edwar Lujan, Luis Aguilar, Flabio Gutierrez

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

1 Cita (Scopus)

Resumen

In this research work, a two-tank system in series was developed. In this system, water flows from the first tank to the second. Opening variations were present in the inlet valve, while the opening flow was fixed in the outlet valve. Using differential equations, the Jacobian matrix and eigenvalues, it was possible to analyze the stability of the system and obtain the equilibrium points. To estimate the adequate water levels, a linear and nonlinear model were implemented. Both models were able to estimate in real time the tanks water levels, identifying the system equilibrium points, this ensured the service demand. A simulation process was applied to evaluate the model’s behavior over time. This simulation was performed using the Simulink tool of Matlab. Both linear and nonlinear models obtained similar results. Results analysis suggested the use of the linear model to implement the control system, since its transfer functions compositions are less complex and more efficient to deploy.

Idioma originalInglés
Título de la publicación alojadaComputational Science and Its Applications – ICCSA 2021 - 21st International Conference, Proceedings
EditoresOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria Rocha, Eufemia Tarantino, Carmelo Maria Torre
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas479-492
Número de páginas14
ISBN (versión impresa)9783030866525
DOI
EstadoPublicada - 2021
Evento21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online
Duración: 13 set. 202116 set. 2021

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12949 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia21st International Conference on Computational Science and Its Applications, ICCSA 2021
CiudadVirtual, Online
Período13/09/2116/09/21

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