A Performance-Oriented Robust Framework for the Online Model-Based Optimization and Control of (Fed-)Batch Systems

被引：0

作者：

Rossi, Francesco ^{[1
,2
]}

Manenti, Flavio ^{[1
]}

Reklaitis, Gintaras ^{[2
]}

Buzzi-Ferraris, Guido ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Chim Mat & Ingn Chim Giulio Natta, I-20123 Milan, Italy

[2] Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA

来源：

12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING (PSE) AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT B | 2015年 / 37卷

关键词：

robust optimal control; robust dynamic optimization; multi-scenario programming; DYNAMIC OPTIMIZATION; PREDICTIVE CONTROL; IMPLEMENTATION; REACTOR;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A new performance-oriented approach to robust real-time optimization and/or optimal control is developed. It relies on a scenario-based framework and ensures attainment of the robustness of the worst-case approach while allowing significant reduction in the loss in process performance measures, such as profitability. The effectiveness of the proposed robust strategy is demonstrated on the Williams-Otto fed-batch reactor and its profitability is shown to be superior to that of the worst-case approach.

引用

页码：1517 / 1522

页数：6

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