Real-Time optimization using the Modifier Adaptation methodology

被引：8

作者：

Rodriguez-Blanco, T. ^{[1
]}

Sarabia, D. ^{[2
]}

de Prada, C. ^{[1
]}

机构：

[1] Univ Valladolid, Dept Ingn Sistemas & Automat, C Doctor Mergelina S-N, E-47011 Valladolid, Spain

[2] Univ Burgos, Dept Ingn Electromecan, Avda Cantabria S-N, Burgos 09006, Spain

来源：

REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL | 2018年 / 15卷 / 02期

关键词：

Real-Time optimization; uncertainty; modifier-adaptation; STATE SYSTEM OPTIMIZATION; MODIFIED 2-STEP ALGORITHM; OPTIMALITY; TRANSIENT; FEEDBACK;

D O I：

10.4995/riai.2017.8846

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Optimal process operation is carried out by a Real-Time Optimization (RTO) layer which operates above the control layer and takes decisions based on steady-state plant models by considering economic objectives. However, this optimal operation is not guaranteed due to the presence of plant-model mismatch. To bring the process to the optimum operating point, the economic optimization problem solved in the RTO layer is changed following the Modifier Adaptation methodology (MA). This methodology changes the economic optimization problem solved in the RTO layer by adding some corrector terms or modifiers estimated from plant measurements to bring the process to the real optimum. This article presents a review of the different MA techniques developed until now and analyzing their features and the way to implement them.

引用

页码：133 / 144

页数：12

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