大型乙烯工业裂解炉烧焦过程COT分布最小方差协方差约束控制  

Minimum variance-covariance constrained control of the coil outlet temperature (COT) distribution in the decoking process of large-scale ethylene industrial cracking furnace

作　　者：万鑫 赵众[1] WAN Xin;ZHAO Zhong(College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《北京化工大学学报（自然科学版）》2022年第5期91-100,共10页Journal of Beijing University of Chemical Technology(Natural Science Edition)

基　　金：北京市自然科学基金(4172044)。

摘　　要：传统烧焦控制方法中炉管出口温度(coil outlet temperature,COT)的均值通过串级燃气流量比例积分微分(proportional integral derivative,PID)控制回路进行控制,易造成烧焦过程COT分布不均衡,COT过高的炉管有烧穿的风险。针对此问题,将烧焦过程COT分布用概率密度函数(probability density function,PDF)进行描述,并使用Hammerstein模型表述PDF基函数权值的动态变化。基于Hammerstein模型,提出一种鲁棒最小方差协方差约束控制方法,用于烧焦过程COT的分布控制,仿真结果及工业应用测试证实了所提方法的可行性和有效性,为实现大型乙烯工业裂解炉烧焦过程中的COT均衡分布控制提供了一条新的有效途径。In the traditional decoking process,only the mean value of the coil outlet temperature(COT) is controlled instead of the COT distribution.Consequently,at very high temperatures,there is a risk of burning through the furnace tubes.To solve this problem,we describe the distribution of COT in the decoking process by a probability density function(PDF) and then transform the PDF model into a Hammerstein model.Based on the Hammerstein model,a robust minimum variance-covariance constraint control method is proposed to control the distribution of COT.Simulation and results from industrial applications have verified the feasibility and effectiveness of the proposed method.Our work provides a new and effective way to realize the balanced control of COT distribution in the decoking process.

关 键 词：裂解炉 烧焦 概率密度函数 HAMMERSTEIN模型 最小方差协方差约束控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]