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Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks
Grosso, J.M.; Ocampo-Martínez, Carlos; Puig Cayuela, Vicenç
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
This paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for drinking water transport network management. The system is a multilevel controller with three hierarchical layers: neural level, fuzzy level, MPC level. Results in the Barcelona Water Network have shown that the quasi-explicit nature of the proposed predictive controller leads to improve the computational time, especially when the complexity of the problem structure can vary while tuning the receding horizons.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Energies::Tecnologia energètica
Water supply -- Management -- Mathematical models
Water supply networks
Drinking water networks
Aigua -- Abastament -- Control
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