Title:
|
Learning-based tuning of supervisory model predictive control for drinking water networks
|
Author:
|
Grosso Pérez, Juan Manuel; Ocampo-Martínez, Carlos; Puig Cayuela, Vicenç
|
Other authors:
|
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
Abstract:
|
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 the management of drinking water networks (DWNs). The control system architecture consists in a multilayer controller with three hierarchical layers: learning and planning layer, supervision and adaptation layer, and feedback control layer. Results of applying the proposed approach to the Barcelona DWN show that the quasi-explicit nature of the proposed adaptive predictive controller leads to improve the computational time, especially when the complexity of the problem structure can vary while tuning the receding horizons. |
Abstract:
|
Peer Reviewed |
Subject(s):
|
-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària -Drinking water networks -Drinking water -- Spain -- Barcelona -Drinking water networks -Fuzzy-logic -Model predictive control -Multilayer controller -Neural networks -Self-tuning -Aigua potable -- Abastament -- Control automàtic |
Rights:
|
|
Document type:
|
Article - Draft Article |
Share:
|
|