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
收藏
页码：1517 / 1522
页数：6
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