系统仿真学报 ›› 2016, Vol. 28 ›› Issue (1): 249-254.

• 仿真应用工程 • 上一篇    下一篇

递推最小二乘法在脱氢反应器辨识中的应用

李国友, 高宁宁, 夏文华   

  1. 燕山大学工业计算机控制工程河北省重点实验室,秦皇岛 066004
  • 收稿日期:2014-08-08 修回日期:2014-12-08 发布日期:2020-07-02
  • 作者简介:李国友(1972-),男,河北秦皇岛,博士,教授,研究方向为伺服控制、智能控制和化工DCS控制及仿真;高宁宁(1986-),女,河北石家庄,硕士生,研究方向为化工DCS控制及仿真。
  • 基金资助:
    秦皇岛市科学技术研究与发展计划(201301B058)

Application of Recursive Least Square Method in Identication of Dehydrogenation Reator

Li Guoyou, Gao Ningning, Xia Wenhua   

  1. Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China
  • Received:2014-08-08 Revised:2014-12-08 Published:2020-07-02

摘要: 目前国内外生产苯乙烯的方法主要采用乙苯脱氢法,该方法的生产能力占世界苯乙烯生产能力的90%以上。为节能降耗,需对系统进行优化,优化前提则须知乙苯脱氢反应器的数学模型。由于反应器内部结构复杂,机理建模很难建立较为客观且精确的数学模型。针对这一问题,提出用递推最小二乘法进行参数辨识。先假定乙苯脱氢反应器的数学模型,以实际工厂数据为基础,利用MATLAB运行程序进行模型参数估计。得到模型参数后,选择另外一组数据对辨识结果的有效性进行验证。仿真结果表明辨识出的反应器模型精度较高,所建模型有效,适于工业应用。

关键词: 乙苯脱氢反应器, 递推最小二乘法, 建模, MATLAB仿真

Abstract: The current production methods of styrene at home and abroad are mainly dhydrogenation of ethylbenzene which accounts for more than 90% of styrene production capacity in the world. To save energy, it was needed to optimize the system and its premise was to know the mathematical model of ethylbenzene dehydrogenation reactor. Due to the complexity of the reactor internal structure, mechanism modeling was more difficult to establish objective and accurate mathematics models. To solve this problem, it was used recursive least squares to conduct parameter identification. On the basis of actual plant data, ethylbenzene dehydrogenation reactor mathematical model was assumed and the procedures was run by using matlab to estimate the model parameters. The effectiveness of the identification results were verified by another set of data. The simulation results show that the identified reactor mode is of higher precision, the model is effective and suitable for industrial application.

Key words: ethylbenzene dehydrogenation reactor, recursive least squares method, modeling, MATLAB simulation

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