Application of module theory in continuoustime generalized predictive control (CGPC) control software

CHEN Dong; WEI Huan; LI QuanShan; ZHAO Zhong; PAN LiDeng

Journal of Beijing University of Chemical Technology ›› 2008, Vol. 35 ›› Issue (5) : 94-97.

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Journal of Beijing University of Chemical Technology ›› 2008, Vol. 35 ›› Issue (5) : 94-97.
机电工程和信息科学

Application of module theory in continuoustime generalized predictive control (CGPC) control software

  • CHEN Dong; WEI Huan; LI QuanShan; ZHAO Zhong; PAN LiDeng
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Abstract

In this paper, we discuss the development and application of continuoustime g
eneralized predictive control (CGPC) software, in order to avoid the arbitrary choice of sampling time necessary in traditional discretetime theory. This soft
ware is based on a New Luus and Jaackola (NLJ) continuoustime module dentific
ation method, incorporates Object Linking and Embedding for Process Control (OPC) data sampling technology, and allows module continuoustime simulation and on line control. Using this software, various kinds of continuous time control laws can be obtained, the realtime input, output and status can be displayed and observed, and the controller parameters can be set in realtime mode. Developed with a virtual channel (VC), this software is characterized not only by its simulation function, but also by its realtime control ability in different fields
. Through its successful application on a module in a Jinan refinery, the softwa
re is shown to be effective and extends the application of continuous time control laws. 

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CHEN Dong; WEI Huan; LI QuanShan; ZHAO Zhong; PAN LiDeng. Application of module theory in continuoustime generalized predictive control (CGPC) control software[J]. Journal of Beijing University of Chemical Technology, 2008, 35(5): 94-97

References

[1]黄湘云,朱学峰. 预测控制的研究现状与展望[J]. 石油化工自动化, 2005,27(2): 27-31. [2]Qin S J, Badgwell T A. A survey of industrial model predictive control technology[J]. Control Engineering Practice, 2003, 11(7): 733-764. 
[3]王树青. 先进控制技术及应用[M]. 北京:化学工业出版社,2001. 
[4]邹涛, 李少远. 基于PC平台的预测控制软件包开发与应用[J]. 中南工业大学学报:自然科学版,2003,34(4): 380-382. 
[5]邹媛媛, 刘晓华, 李少远. 满足因果约束的多速率单值广义预测控制[J]. 控制与决策, 2005, 20(7): 827-829. 
[6]Embiru u M, Fontes C. Multirate multivariable generalized predictive control and its application to a slurry reactor for ethylene polymerization[J]. Chemical Engineering Science, 2006, 61(17): 5754-5767. 
[7]张爽,王艳秋. 广义预测控制算法及其应用研究[J]. 信息技术, 2005,34(6):20-21. 
[8]Demirciog lu H,Gawthrop P J. Continuoustime Gen
eralized Predictive Control (CGPC)[J]. Automatica, 1991,27(1):55-74. 
[9]Demircioglu H, Karasu E. Generalized predictive control: a practical application and comparison of discrete and continuoustime versions[J]. IEEE
control system magazine, 2000, 20(5): 36-47. 
[10]李明, 陈宗海, 张海涛,等. 连续时间广义预测控制算法的应用研究[J]. 测控技术,2004,23(7):61-63. 
[11]杨平,翁思义. 连续时间广义预测控制用于电厂锅炉汽压控制的仿真研究[J]. 中国电机工程学报, 1993,13(1):50-55. 
[12]姜景杰, 甄新平, 李全善,等. 一种基于改进NLJ算法的对象辨识方法及其应用[J]. 中国化学工程学报, 2007,15(1):88-91. 
[13]马俊英,罗元浩,潘立登. 用改进的NLJ方法辨识闭环系统的模型参数及滤波器设计[J]. 北京化工大学学报:自然科学版, 2003,30(4):95-97.

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