Plant-Wide Process Real-Time Optimization Based on Process Goose Queue Methodology

被引:0
作者
Huang, Jingwen [1 ]
Li, Hongguang [1 ]
机构
[1] Beijing Univ Chem Technol, Beijing 100029, Peoples R China
来源
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING | 2012年 / 29卷
关键词
real-time optimization(RTO); plant-wide process; process goose queue(PGQ);
D O I
10.1016/j.proeng.2012.01.345
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In order to overcome the algorithmic deficiencies associated with conventional real-time optimization(RTO) such as huge process models, enormous manipulated variables, a so-called process goose queue (PGQ) technique is subsequently established inspired by biologic nature of flying wild geese. Taking advantage of this ad-hoc structure, a plant-wide process can be decomposed into several hierarchically connected PGQs, accordingly, process RTO identical with the following and tracking issues between leading and following geese. Followed by this philosophy, related theoretical definitions, the adjustment rules, implement procedure are explicitly introduced. Finally, a straightforward plant-wide process is employed to demonstrate the feasibility and validity of the contributions. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Harbin University of Science and Technology
引用
收藏
页码:2526 / 2531
页数:6
相关论文
共 9 条
[1]   Decentralized control: An overview [J].
Bakule, Lubomir .
ANNUAL REVIEWS IN CONTROL, 2008, 32 (01) :87-98
[2]  
Cattivelli F., 2011, IEEE T SIGNAL PROCES, V59
[3]  
CATTIVELLI F, 2009, 3 IEEE INT WORKSH CO, P49
[4]   Oil production optimization-A piecewise linear model, solved with two decomposition strategies [J].
Gunnerud, Vidar ;
Foss, Bjarne .
COMPUTERS & CHEMICAL ENGINEERING, 2010, 34 (11) :1803-1812
[5]  
Huang Jingwen, J COMPUTERS
[6]   Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process [J].
Jamali, A. ;
Nariman-zadeh, N. ;
Darvizeh, A. ;
Masoumi, A. ;
Hamrang, S. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2009, 22 (4-5) :676-687
[7]   Classification of Dantzig-Wolfe reformulations for binary mixed integer programming problems [J].
Jans, Raf .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 204 (02) :251-254
[8]  
Sobieski J., 1987, AIAA J, V1, P139
[9]   A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels [J].
Zhang, Qian ;
Mahfouf, Mandi .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2010, 23 (05) :660-675