Dynamic modeling and simulation of an industrial chemical reactor

被引:0
作者
Ben Mohamed, Sameh [1 ]
Bakir, Tahani [1 ]
Boussaid, Boumedyen [1 ]
Abdelkrim, Mohamed Naceur [1 ]
机构
[1] Univ Gabes, Natl Sch Engineers Gabes, Modeling Anal & Control Syst Res Lab, Omar Ibn Khattab Rd, Gabes 6029, Tunisia
来源
2017 25TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) | 2017年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Modeling is the entire necessary step for the formulation of a mathematical model that can be developed from the physical laws governing the process. Modeling can be based on a knowledge model or a black box model. Nevertheless, black box modeling is not practice en real time operation; i.e the signal controls are not rich enough to cover all operating modes. So, in industries, a simulator of process serves as powerful tool for optimizing the operating set points and for simulating the different modes off line. That's why we make the modeling of a chemical reactor which is among the most delicate processes to model. The design of chemical reactor depends on the following factors: size of reactor, nature of reagents, temperature of reactor and rate of chemical reaction. This paper deals with basic simulation studies of a chemical reactor of production of phosphoric acid. The mathematical dynamic model is developed from material and energy balances. Numerical mathematics is used for steady state and dynamic analysis which is usually presented by the set of differential equations. A simulation is curried out using "MATLAB". A validation of the model is done through a database taken from industrial process.
引用
收藏
页码:755 / 760
页数:6
相关论文
共 14 条
  • [1] [Anonymous], 1980, Numerical heat transfer and fluid flow
  • [2] Caccavale F, 2005, 2005 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL & 13TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1 AND 2, P914
  • [3] Daniel S., 2001, GENIE REACTION CHIMI
  • [4] El-Seddek Mostafa M., 2013, 2013 5th International Conference on Modelling, Identification and Control (ICMIC), P21
  • [5] Elkhalil Mansoura, 2010, International Journal of Modelling, Identification and Control, V9, P350, DOI 10.1504/IJMIC.2010.033210
  • [6] Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks
    Ganesh, Botla
    Kumar, Vadlagattu Varun
    Rani, Kalipatnapu Yamuna
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (05) : 970 - 979
  • [7] Batch processes monitoring based on statistical and engineering process control integration: case of alkyd polymerisation reactor
    Hachicha, Wafik
    [J]. INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL, 2012, 6 (3-4) : 291 - 309
  • [8] Huzmezan M, 2002, P AMER CONTR CONF, V1-6, P1156, DOI 10.1109/ACC.2002.1023175
  • [9] Iordanidi A., 2002, Mathematical modeling of catalytic fixed bed reactors
  • [10] Generic model for chemical reactor
    Khaled, A. R.
    Bouamama, B. Ould
    Nakrachi, A.
    [J]. 2006 IMACS: MULTICONFERENCE ON COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS, VOLS 1 AND 2, 2006, : 412 - +