Order reduction and control of hyperbolic, countercurrent distributed parameter systems using method of characteristics

被引:2
作者
Munusamy, Sudhakar [1 ]
Narasimhan, Sridharakumar [1 ]
Kaisare, Niket S. [2 ]
机构
[1] Indian Inst Technol, Dept Chem Engn, Madras 600036, Tamil Nadu, India
[2] ABB Corp Res Ctr, Bangalore 560048, Karnataka, India
关键词
Distributed parameter system; Method of characteristics; Hyperbolic PDE; Counter current systems; Approximate dynamic programming; Model order reduction; MODEL-PREDICTIVE CONTROL; PROPER ORTHOGONAL DECOMPOSITION; PDE SYSTEMS; FEEDBACK-CONTROL; REACTOR;
D O I
10.1016/j.ces.2013.12.029
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The aim of this paper is to develop a model reduction technique based on method of characteristics (MOC) for control of counter-current distributed parameter systems that are modeled by semi-linear hyperbolic partial differential equations (ROES). In our previous work, MOC was shown to be a suitable model reduction technique tot a class of hyperbolic PDEs. This concept is extended to counter-current systems, wherein the so-called characteristic lines have slopes with opposite signs. Two different approximations are proposed that allow the use of MOC as a model reduction technique. The open-loop results from MOC are compared with a large dimensional model, based on the method of lines. The MOC-based models are used for closed loop simulations within the approximate dynamic programming (ADP) framework. Two case studies are considered: a non-adiabatic plug flow reactor (having characteristics with two different slopes) and a non-adiabatic fixed bed reactor (having characteristics with three different slopes). We demonstrate that using the MOC-based model in an ADP controller results in a significant improvement in computational time, along with a slight improvement in controller performance. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:153 / 163
页数:11
相关论文
共 26 条
[2]   A new merging method of optimal control synthesis for distributed parameter systems [J].
Choe, YS ;
Chang, KS .
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 1998, 31 (01) :111-115
[3]   Model predictive control of cocurrent first-order hyperbolic PDE systems [J].
Choi, J ;
Lee, KS .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2005, 44 (06) :1812-1822
[4]   Receding horizon control of cocurrent first order hyperbolic partial differential equation systems [J].
Choi, J ;
Lee, KS .
KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2004, 21 (02) :345-351
[5]  
Choi J, 2007, ASIAN J CONTROL, V9, P144, DOI 10.1111/j.1934-6093.2007.tb00317.x
[6]   Robust control of hyperbolic PDE systems [J].
Christofides, PD ;
Daoutidis, P .
CHEMICAL ENGINEERING SCIENCE, 1998, 53 (01) :85-105
[7]   Feedback control of hyperbolic PDE systems [J].
Christofides, PD ;
Daoutidis, P .
AICHE JOURNAL, 1996, 42 (11) :3063-3086
[8]   MODELING AND ADAPTIVE-CONTROL OF NONLINEAR DISTRIBUTED PARAMETER BIOREACTORS VIA ORTHOGONAL COLLOCATION [J].
DOCHAIN, D ;
BABARY, JP ;
TALLMAAMAR, N .
AUTOMATICA, 1992, 28 (05) :873-883
[9]   Predictive control of transport-reaction processes [J].
Dubljevic, S ;
Mhaskar, P ;
El-Farra, NH ;
Christofides, PD .
COMPUTERS & CHEMICAL ENGINEERING, 2005, 29 (11-12) :2335-2345
[10]  
Fuxman AM, 2007, CAN J CHEM ENG, V85, P424