Artículo
Economic model predictive control based on a periodicity constraint
Autor/es | Wang, Ye
Salvador Ortiz, José Ramón Muñoz de la Peña Sequedo, David Puig, Vicenç Cembrano, Gabriela |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2018-08 |
Fecha de depósito | 2019-05-29 |
Publicado en |
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Resumen | This paper addresses a novel economic model predictive control (MPC) formulation based on a periodicity constraint to achieve an optimal periodic operation for discrete-time linear systems. The proposed control strategy ... This paper addresses a novel economic model predictive control (MPC) formulation based on a periodicity constraint to achieve an optimal periodic operation for discrete-time linear systems. The proposed control strategy does not rely on forcing the terminal state by means of a terminal equality constraint and hence it does not require a priori knowledge of a periodic steady trajectory. Instead, at each sampling time step the economic cost function is optimized based on a periodicity constraint over all the periodic trajectories that include the current state. The recursive feasibility and the closed-loop convergence to a periodic steady trajectory are discussed. Moreover, an optimality certificate of this steady trajectory is provided based on the Karush–Kuhn–Tucker (KKT) optimality conditions. Finally, an application to a well-known water distribution network benchmark is presented to demonstrate the proposed economic MPC in which the closed-loop simulation results obtained with a linear model and a virtual–reality simulator are both provided |
Identificador del proyecto | DPI2017-88403-R
DPI2016-76493 BES-2014-068319 2017-SGR-482 |
Cita | Wang, Y., Salvador Ortiz, J.R., Muñoz de la Peña Sequedo, D., Puig Cayuela, V. y Cembrano Gennari, G. (2018). Economic model predictive control based on a periodicity constraint. Journal of Process Control, 68, 226-239. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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JPC_Wang_Salvador_2018_economic.pdf | 1.456Mb | [PDF] | Ver/ | |