RT info:eu-repo/semantics/article
T1 Integrating dynamic economic optimization and nonlinear closed-loop GPC: Application to a WWTP
A1 El bahja, Hicham
A1 Vega, Pastora
A1 Tadeo Rico, Fernando Juan
K1 Optimization
K1 Economic theory
K1 Economics, Mathematical
K1 Econometrics
K1 Nonlinear control theory
K1 Control no lineal, Teoria de
K1 Wastewater treatment plant
K1 Aguas residuales - Depuración y tratamiento
K1 Process control
K1 Control de procesos
K1 Control and Systems Theory
K1 Control digital, Sistemas de
K1 Economic process optimization
K1 Optimización de procesos económicos
K1 5302 Econometría
K1 1203.22 Sistema de Control de Producción
AB In this paper, a technique that integrates methods of dynamic economic optimization and real-time control by including economic model predictive control and closed-loop predictive control has been developed, using a two-layer structure. The upper layer, which consists of an economic nonlinear MPC (NMPC), makes use of the updated state information to optimize some economic cost indices and calculates in real time the economically optimal trajectories for the process states. The lower layer uses a closed-loop nonlinear GPC (NCLGPC) to calculate the control actions that allow for the outputs of the process to follow the trajectories received from the upper layer. This paper also includes the theoretical demonstration proving that the deviation between the state of the closed-loop system and the economically time varying trajectory provided by the upper layer is bounded, thus guaranteeing stability. The proposed approach is based on the use of nonlinear models to describe all the relevant process dynamics and cover a wide operating range, providing accurate predictions and guaranteeing the performance of the control systems. In particular, the methodology is implemented in the N-Removal process of a WWTP and the results demonstrate that the method is effective and can be used profitably in practical cases such as the chemical, refinery and petrochemical process industries.
PB MDPI
SN 2227-9717
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/61292
UL https://uvadoc.uva.es/handle/10324/61292
LA eng
NO Processes,  2022, Vol. 10, Nº. 9, 1821
NO Producción Científica
DS UVaDOC
RD 23-nov-2024