基于多目标优化的两段提升管重油催化裂解自优化控制

doi:10.11949/j.issn.0438-1157.20160414

化工学报 ›› 2016, Vol. 67 ›› Issue (8): 3491-3498.DOI: 10.11949/j.issn.0438-1157.20160414

基于多目标优化的两段提升管重油催化裂解自优化控制

王平^1,2, 赵辉¹, 杨朝合¹

1 中国石油大学(华东)重质油国家重点实验室, 山东青岛 266580;
2 中国石油大学(华东)信息与控制工程学院, 山东青岛 266580

收稿日期:2016-04-01 修回日期:2016-06-13 出版日期:2016-08-05 发布日期:2016-08-05
通讯作者: 杨朝合
基金资助:
国家重点基础研究发展计划项目（2012CB215006）；中央高校基本科研业务费专项资金项目（2015010109）。

Self-optimizing control based on multi-objective optimization for heavy oil catalytic pyrolysis in two-stage riser

WANG Ping^1,2, ZHAO Hui¹, YANG Chaohe¹

1 State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Qingdao 266580, Shandong, China;
2 College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, Shandong, China

Received:2016-04-01 Revised:2016-06-13 Online:2016-08-05 Published:2016-08-05
Supported by:
supported by the National Basic Research Program of China (2012CB215006) and the Fundamental Research Funds for the Central Universities (2015010109).

摘要/Abstract

摘要：

针对两段提升管重油催化裂解过程经济运行要求和工艺特点，从多目标优化角度出发，提出一种自优化控制方法。首先，基于过程稳态模型，考虑操作约束条件，构造同时最大化丙烯产量和最小化干气产量的多目标操作优化问题，并采用标准化法向约束方法求解获得完整、均匀分布的Pareto最优解；然后，根据多目标优化结果所揭示的最优操作条件与积极约束之间的关系，提出了一种基于串级控制的自优化控制策略。仿真结果表明，与传统的提升管出口温度设定值跟踪控制相比，本文方法在干扰作用下能够及时调整操作条件，降低干扰对过程优化运行的不利影响。

关键词: 优化, 过程控制, 数值模拟, 催化裂解, 两段提升管

Abstract:

Considered economic requirement for maximizing propylene yield of fluidized catalytic pyrolysis process in two-stage riser, as well as complex characteristics of the FCC process such as strong nonlinearity, coupling multivariable and unavailability in online measurement of product yields, a self-optimizing control strategy on a basis of multi-objective optimization was proposed. First, a multi-objective optimization framework for maximizing propylene yield while minimizing dry gas output was created from steady state model and operational constraints of the process, and solved for optimal operation condition with a complete and uniform Pareto distribution by standardized normal constraint method. Secondly, a self-optimizing scheme of cascade controls was generated from relationships between the optimal operation condition and the active constraints. Product yield that could not be measured online were estimated by an unscented Kalman filter transformation. Compared to the tracking control on temperature setpoints at the riser outlet, the self-optimizing control method could spontaneously adjust operating condition under circumstances of interference and reduce the disadvantageous impact of noise factors to optimizing process operation.

Key words: optimization, process control, numerical simulation, catalytic pyrolysis, two-stage riser

中图分类号:

TE624

王平, 赵辉, 杨朝合. 基于多目标优化的两段提升管重油催化裂解自优化控制[J]. 化工学报, 2016, 67(8): 3491-3498.

WANG Ping, ZHAO Hui, YANG Chaohe. Self-optimizing control based on multi-objective optimization for heavy oil catalytic pyrolysis in two-stage riser[J]. CIESC Journal, 2016, 67(8): 3491-3498.

参考文献 21

[1]	李春义,袁起民,陈小博,等.两段提升管催化裂解多产丙烯研究[J].中国石油大学学报(自然科学版),2007,31(1):118-121.LI C Y,YUAN Q M,CHEN X B,et al.Maximizing yield of propylene by two-stage-riser catalytic pyrolysis of heavy oil[J].Journal of China University of Petroleum (Edition of Natural Science),2007,31(1):118-121.
[2]	LI C Y,YANG C H,SHAN H H.Maximizing propylene yield by two-stage riser catalytic cracking of heavy oil[J].Ind.Eng.Chem.Res.,2007,46(14):4914-4920.
[3]	柴天佑.复杂工业过程运行优化与反馈控制[J].自动化学报,2013,39(11):1744-1757.CHAI T Y.Operational optimization and feedback control for complex industrial processes[J].Acta Automatica Sinica,2013,39(11):1744-1757.
[4]	ENGELL S.Feedback control for optimal process operation[J].J.Process.Contr.,2007,17(3):203-219.
[5]	ELLIS M,DURAND H,CHRISTOFIDES P D.A tutorial review of economic model predictive control methods[J].J.Process.Contr.,2014,24(8):1156-1178.
[6]	SKOGESTAD S.Plantwide control:the search for the self-optimizing control structure[J].J.Process.Contr.,2000,10(5):487-507.
[7]	SKOGESTAD S.Control structure design for complete chemical plants[J].Comp.Chem.Eng.,2004,28(1):219-234.
[8]	叶凌箭,李英道,宋执环.一种构造化工过程被控变量的方法[J].化工学报,2011,62(8):2221-2226.YE L J,LI Y D,SONG Z H.New approach for constructing controlled variables for chemical processes[J].CIESC Journal,2011,62(8):2221-2226.
[9]	叶凌箭,宋执环,马修水.间歇过程的批间自优化控制[J].化工学报,2015,66(7):2573-2580.YE L J,SONG Z H,MA X S.Batch-to-batch self-optimizing control for batch processes[J].CIESC Journal,2015,66(7):2573-2580.
[10]	YE L J,CAO Y,YUAN X.Global approximation of self-optimizing controlled variables with average loss minimization[J].Ind.Eng.Chem.Res.,2015,54(48):12040-12053.
[11]	叶凌箭.非线性过程自优化控制的快速算法[J].控制理论与应用,2016,33(1):40-46.YE L J.A fast algorithm for self-optimizing control of nonlinear plants[J].Control Theory&Applications,2016,33(1):40-46.
[12]	YUAN Z H,WANG P,YANG C H,et al.Systematic control structure evaluation of two-stage-riser catalytic pyrolysis processes[J].Chem.Eng.Sci.,2015,126(2):309-328.
[13]	MESSAC A,ISMAIL-YAHAYA A,MATTSON C A.The normalized normal constraint method for generating the Pareto frontier[J].Struct.Multidiscip.O,2003,25(2):86-98.
[14]	郭菊花.重油两段催化裂解多产丙烯集总动力学模型的初步研究[D].青岛:中国石油大学,2008.GUO J H.Primary study of the lumped kinetic model for heavy oil cracking into propylene by two-stage-riser technology[D].Qingdao:China University of Petroleum,2008.
[15]	WANG P,TIAN X,YANG C,et al.Economics-oriented NMPC of two-stage-riser catalytic pyrolysis processes for maximizing propylene yield[J].IFAC-Papers OnLine,2015,48(8):32-37.
[16]	YUAN Z H,WANG P,YANG C H.Steady-state multiplicity analysis of two-stage-riser catalytic pyrolysis processes[J].Comp.Chem.Eng.,2015,73:49-63.
[17]	MESSAC A,MATTSON C A.Generating well-distributed sets of Pareto points for engineering design using physical programming[J].Optim.Eng.,2002,3(4):431-450.
[18]	RANGAIAH G P.Multi-objective Optimization:Techniques and Applications in Chemical Engineering[M].World Scientific,2009.
[19]	DAS I,DENNIS J E.A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems[J].Struct.Multidiscip.O,1997,14(1):63-69.
[20]	袁璞,郑远扬,黄德先,等.催化裂化反应深度的观测与控制方法:90108193.0[P].1992-04-22 YUAN P,ZHENG Y Y,HUANG D X,et al.Observation and control method for the depth of catalytic cracking reaction:90108193.0[P].1992-04-22.
[21]	袁璞,孙德祥,左信,等.催化裂化装置反应深度实时优化控制方法:97100141.3[P].1997-12-17.YUAN P,SUN D X,ZUO X,et al.Real time optimization control method for the depth of catalytic cracking unit:97100141.3[P].1997-12-17.

基于多目标优化的两段提升管重油催化裂解自优化控制

Self-optimizing control based on multi-objective optimization for heavy oil catalytic pyrolysis in two-stage riser

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献 21

相关文章 15

编辑推荐

Metrics

本文评价

[1]	杨欣, 王文, 徐凯, 马凡华. 高压氢气加注过程中温度特征仿真分析[J]. 化工学报, 2023, 74(S1): 280-286.
[2]	宋嘉豪, 王文. 斯特林发动机与高温热管耦合运行特性研究[J]. 化工学报, 2023, 74(S1): 287-294.
[3]	张思雨, 殷勇高, 贾鹏琦, 叶威. 双U型地埋管群跨季节蓄热特性研究[J]. 化工学报, 2023, 74(S1): 295-301.
[4]	叶展羽, 山訸, 徐震原. 用于太阳能蒸发的折纸式蒸发器性能仿真[J]. 化工学报, 2023, 74(S1): 132-140.
[5]	张义飞, 刘舫辰, 张双星, 杜文静. 超临界二氧化碳用印刷电路板式换热器性能分析[J]. 化工学报, 2023, 74(S1): 183-190.
[6]	王志国, 薛孟, 董芋双, 张田震, 秦晓凯, 韩强. 基于裂隙粗糙性表征方法的地热岩体热流耦合数值模拟与分析[J]. 化工学报, 2023, 74(S1): 223-234.
[7]	陈哲文, 魏俊杰, 张玉明. 超临界水煤气化耦合SOFC发电系统集成及其能量转化机制[J]. 化工学报, 2023, 74(9): 3888-3902.
[8]	曹跃, 余冲, 李智, 杨明磊. 工业数据驱动的加氢裂化装置多工况切换过渡状态检测[J]. 化工学报, 2023, 74(9): 3841-3854.
[9]	齐聪, 丁子, 余杰, 汤茂清, 梁林. 基于选择吸收纳米薄膜的太阳能温差发电特性研究[J]. 化工学报, 2023, 74(9): 3921-3930.
[10]	康飞, 吕伟光, 巨锋, 孙峙. 废锂离子电池放电路径与评价研究[J]. 化工学报, 2023, 74(9): 3903-3911.
[11]	何松, 刘乔迈, 谢广烁, 王斯民, 肖娟. 高浓度水煤浆管道气膜减阻两相流模拟及代理辅助优化[J]. 化工学报, 2023, 74(9): 3766-3774.
[12]	邢雷, 苗春雨, 蒋明虎, 赵立新, 李新亚. 井下微型气液旋流分离器优化设计与性能分析[J]. 化工学报, 2023, 74(8): 3394-3406.
[13]	陈国泽, 卫东, 郭倩, 向志平. 负载跟踪状态下的铝空气电池堆最优功率点优化方法[J]. 化工学报, 2023, 74(8): 3533-3542.
[14]	程小松, 殷勇高, 车春文. 不同工质在溶液除湿真空再生系统中的性能对比[J]. 化工学报, 2023, 74(8): 3494-3501.
[15]	刘文竹, 云和明, 王宝雪, 胡明哲, 仲崇龙. 基于场协同和耗散的微通道拓扑优化研究[J]. 化工学报, 2023, 74(8): 3329-3341.