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。
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.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2016年第1期249-254,共6页
Journal of System Simulation
基金
秦皇岛市科学技术研究与发展计划(201301B058)
关键词
乙苯脱氢反应器
递推最小二乘法
建模
MATLAB仿真
ethylbenzene dehydrogenation reactor
recursive least squares method
modeling
MATLAB simulation
