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Título: | Modelling approaches for MPC of large-scale sewage systems |
Autor: | Ocampo-Martínez, Carlos CSIC ORCID ; Puig, Vicenç CSIC ORCID | Palabras clave: | Model-based predictive control Hybrid systems Piece-wise linear functions Non-linear optimization Sewer networks Linear programming Linear control systems Nonlinear programming Predictive control |
Fecha de publicación: | 2009 | Citación: | Technical Report IRI-TR-09-01, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2009. | Resumen: | In this report, model predictive control (MPC) of large-scale sewage systems is addressed considering different modeling approaches that include several inherent continuous/discrete phenomena (over ows in sewers and tanks) and elements (weirs) in the system that result in distinct behavior depending on the dynamic state (ow/volume) of the network. These behaviors can not be neglected nor can be modeled by a pure linear representation. In order the MPC controller takes into account these phenomena and elements, a modeling approach based on piece-wise linear functions is proposed and compared against a hybrid modeling approach previously reported by the authors. Control performance results and associated computation times of the closed-loop scheme considering both modeling approaches are compared by using a real case study based on the Barcelona sewer network. | URI: | http://hdl.handle.net/10261/30079 |
Aparece en las colecciones: | (IRII) Informes y documentos de trabajo |
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