| 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 |
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| 引用本文： | 万鑫,赵众. 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[J]. 北京化工大学学报(自然科学版), 2022, 49(5): 91-100. DOI: 10.13543/j.bhxbzr.2022.05.012 |
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| 作者姓名： | 万鑫 赵众 |
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| 作者单位： | 北京化工大学 信息科学与技术学院, 北京 100029 |
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| 基金项目： | 北京市自然科学基金(4172044) |
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| 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。
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| 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 |
| 收稿时间： | 2022-04-27 |
Minimum variance-covariance constrained control of the coil outlet temperature (COT) distribution in the decoking process of large-scale ethylene industrial cracking furnace |
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| WAN Xin,ZHAO Zhong. Minimum variance-covariance constrained control of the coil outlet temperature (COT) distribution in the decoking process of large-scale ethylene industrial cracking furnace[J]. Journal of Beijing University of Chemical Technology, 2022, 49(5): 91-100. DOI: 10.13543/j.bhxbzr.2022.05.012 |
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| Authors: | WAN Xin ZHAO Zhong |
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| Affiliation: | College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China |
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| Abstract: | 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. |
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| Keywords: | cracking furnace decoking probability density function Hammerstein model minimum variance-covariance constrained control |
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