RT info:eu-repo/semantics/article
T1 Economic MPC with Modifier Adaptation using Transient Measurements
A1 Oliveira Silva, Erika
A1 Prada Moraga, César de
A1 Montes López, Daniel Alberto
A1 Navia, Daniel
K1 Ingeniería
K1 Automatización
K1 Modifier Adaptation
K1 Real-time Optimization
K1 Transient Measurements
K1 Hybrid Plant
K1 Adaptación del modificador
K1 Optimización en tiempo real
K1 Mediciones transitorias
K1 Planta Híbrida
K1 3313 Tecnología E Ingeniería Mecánicas
AB This paper presents a method to estimate process dynamic gradients along the transient that combined with the idea of Modifier Adaptation (MA) improves the economic cost fuction of the examples presented. The gradient estimation method, called TMA, aims to reduce the large convergence time required to traditional MA in processes of slow dynamics. TMA is used with an economic predictive control with MA (eMPC+TMA) and was applied in two case studies: a simulation of the Williams-Otto reactor and a hybrid laboratory plant based on the Van de Vusse reactor. The results show that eMPC+TMA could reach the plant real steady-state optimum despite process-model mismatch, due to the inclusion of the effect of process dynamics in the TMA algorithm. Despite the estimation errors, the proposed methodology improved the profit of the experimental case study, with respect to the use of an eMPC with no modifiers, by about 20% for the unconstrained case, and by 130% in the constrained case.
PB Elsevier
SN 0098-1354
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/58848
UL https://uvadoc.uva.es/handle/10324/58848
LA eng
NO Computers & Chemical Engineering, 2023, vol. 173, 108205
NO Producción Científica
DS UVaDOC
RD 14-may-2024