Modelling and control of a continuous distillation tower through fuzzy techniques

被引:11
作者
Barcelo-Rico, Fatima [1 ]
Gozalvez-Zafrilla, Jose M. [2 ]
Luis Diez, Jose [1 ]
Santafe-Moros, Asuncion [2 ]
机构
[1] Univ Politecn Valencia, Dept Syst Engn & Control, Valencia 46022, Spain
[2] Univ Politecn Valencia, Dept Chem & Nucl Engn, Valencia 46022, Spain
关键词
Fuzzy; Distillation tower; Gain scheduling; Control; NEURAL-NETWORK CONTROL;
D O I
10.1016/j.cherd.2010.04.015
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper presents a methodology for the design of a fuzzy controller applicable to continuous processes based on local fuzzy models and velocity linearizations. It has been applied to the implementation of a fuzzy controller for a continuous distillation tower. Continuous distillation towers can be subjected to variations in feed characteristics that cause loss of product quality or excessive energy consumption. Therefore, the use of a fuzzy controller is interesting to control process performance. A dynamic model for continuous distillation was implemented and used to obtain data to develop the fuzzy controller at different operating points. The fuzzy controller was built by integration of linear controllers obtained for each linearization of the system. Simulation of the model with controller was used to validate the controller effectiveness under different scenarios, including a study of the sensibility of some parameters to the control. The results showed that the fuzzy controller was able to keep the target output in the desired range for different inputs disturbances, changing smoothly from a predefined target output to another. The developed techniques are applicable to more complex distillation systems including more operating variables. (C) 2010 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:107 / 115
页数:9
相关论文
共 13 条
[1]  
BABUSKA R, 1996, THESIS DELFT U TECHN
[2]   Target-shaped possibilistic clustering applied to local-model identification [J].
Díez, JL ;
Sala, A ;
Navarro, JL .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2006, 19 (02) :201-208
[3]   Application of neural network control to distillation and an experimental comparison with other advanced controllers [J].
Dutta, P ;
Rhinehart, RR .
ISA TRANSACTIONS, 1999, 38 (03) :251-278
[4]   Nonlinear control of a reactive distillation column [J].
Grüner, S ;
Mohl, KD ;
Kienle, A ;
Gilles, ED ;
Fernholz, G ;
Friedrich, M .
CONTROL ENGINEERING PRACTICE, 2003, 11 (08) :915-925
[5]   Survey of gain-scheduling analysis and design [J].
Leith, DJ ;
Leithead, WE .
INTERNATIONAL JOURNAL OF CONTROL, 2000, 73 (11) :1001-1025
[6]   ANALYZING THE INTERACTION OF DESIGN AND CONTROL .1. A MULTIOBJECTIVE FRAMEWORK AND APPLICATION TO BINARY DISTILLATION SYNTHESIS [J].
LUYBEN, ML ;
FLOUDAS, CA .
COMPUTERS & CHEMICAL ENGINEERING, 1994, 18 (10) :933-969
[7]  
NAVARRO JL, 2004, REV IBEROAMERICANA A, V1, P32
[8]  
NAVARRO JL, 2007, SOFT COMPUTING FUSIO, P6
[9]   Optimization of continuous distillation columns using stochastic optimization approaches [J].
Ramanathan, SP ;
Mukherjee, S ;
Dahule, RK ;
Ghosh, S ;
Rahman, I ;
Tambe, SS ;
Ravetkar, DD ;
Kulkarni, BD .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2001, 79 (A3) :310-322
[10]   A VERY SIMPLE STRUCTURE FOR NEURAL-NETWORK CONTROL OF DISTILLATION [J].
RAMCHANDRAN, S ;
RHINEHART, RR .
JOURNAL OF PROCESS CONTROL, 1995, 5 (02) :115-128