Optimal control of an industrial-scale evaporation process: Sodium aluminate solution

被引：44
作者：
Chai, Q. Q. [1 ,2 ]
Yang, C. H. [1 ]
Teo, K. L. [2 ]
Gui, W. H. [1 ]
机构：
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China
[2] Curtin Univ Technol, Dept Math & Stat, Perth, WA, Australia
来源：
CONTROL ENGINEERING PRACTICE | 2012年 / 20卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Alumina evaporation process; Optimal control; Time delay; Numerical optimization algorithm; Smoothing technique; CHARACTERISTIC TIME POINTS; MODEL-PREDICTIVE CONTROL; NONLINEAR CONTROL; SYSTEM; SIMULATION; DYNAMICS;
D O I：
10.1016/j.conengprac.2012.03.001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A mathematical model of the evaporation system in the form of a state space model with multiple time delays is constructed. On this basis, an optimal control of an industrial-scale alumina evaporation process is obtained, where the objective is to find a control such that the specific quality of the sodium aluminate solution control is met with the least energy usage and the constraints on the state and the control are satisfied. Then, a numerical algorithm is developed for solving this optimal control problem. It is applied to study the optimal control of a practical alumina evaporation process and the results obtained are highly satisfactory. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：618 / 628
页数：11
相关论文
共 21 条
[1]  
Chen Z. K., 2004, WORLD NONFERROUS MET, P41
[2]   Modelling, identification and control of sugar evaporation - theoretical design and experimental evaluation [J].
Elhaq, SL ;
Giri, F ;
Unbehauen, H .
CONTROL ENGINEERING PRACTICE, 1999, 7 (08) :931-942
[3]  
HARTLEY D., 1964, Int. J. Heat Mass Transfer, V7, P1003, DOI [10.1016/j.ces.2014.01.034, DOI 10.1016/0017-9310(64)90042-0, 10.1016/0017-9310(64)90042-0]
[4]   Nonlinear control of a simulated industrial evaporation system using a feedback linearization technique with a state observer [J].
Kam, KM ;
Tadé, MO .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1999, 38 (08) :2995-3006
[5]  
Kropholler H., 1965, CHEM PROCESS ENG-INZ, V3, P558
[6]   Optimal control problems with multiple characteristic time points in the objective and constraints [J].
Loxton, R. C. ;
Teo, K. L. ;
Rehbock, V. .
AUTOMATICA, 2008, 44 (11) :2923-2929
[7]   Modelling and simulation of an industrial multiple effect evaporator: tomato concentrate [J].
Miranda, V ;
Simpson, R .
JOURNAL OF FOOD ENGINEERING, 2005, 66 (02) :203-210
[8]   A survey of industrial model predictive control technology [J].
Qin, SJ ;
Badgwell, TA .
CONTROL ENGINEERING PRACTICE, 2003, 11 (07) :733-764
[9]   Nonlinear model predictive control of an industrial four-stage evaporator system via simulation [J].
Rangaiah, GP ;
Saha, P ;
Tadé, MO .
CHEMICAL ENGINEERING JOURNAL, 2002, 87 (03) :285-299
[10]  
Runyon C. H., 1991, Journal of Food Engineering, V14, P185, DOI 10.1016/0260-8774(91)90007-F
123