Optimización dinámica de plantas de tratamiento de aguas residuales usando control predictivo económico
- Silvana Revollar Chávez 1
- Pastora Vega Cruz 1
- Mario Francisco 1
- Rosalba Lamanna 2
- Rosa García Vicente 1
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1
Universidad de Salamanca
info
- 2 Universidad Simón Bolívar (Venezuela)
- Inés Tejado Balsera (coord.)
- Emiliano Pérez Hernández (coord.)
- Antonio José Calderón Godoy (coord.)
- Isaías González Pérez (coord.)
- Pilar Merchán García (coord.)
- Jesús Lozano Rogado (coord.)
- Santiago Salamanca Miño (coord.)
- Blas M. Vinagre Jara (coord.)
Verlag: Universidad de Extremadura
ISBN: 978-84-9749-756-5, 978-84-09-04460-3
Datum der Publikation: 2018
Seiten: 756-763
Kongress: Jornadas de Automática (39. 2018. Badajoz)
Art: Konferenz-Beitrag
Zusammenfassung
In this paper, a single-layer economic model predictive control (EMPC) strategy is presented. The objective of the EMPC is to perform the dynamic optimization of the operation of a wastewater treatment plant (WWTP). A non-linear EMPC algorithm has been implemented. The controller cost function represents the operating costs and the violations of maximum admitted levels of ammonium concentration in the effluent. The proposed strategy takes advantage of the variability of the influent load to find alternative operating points that minimize the cost function. Constraints are imposed on critical variables to ensure the conditions that guarantee the appropriate process performance