一种构造化工过程被控变量的方法

化工学报 ›› 2011, Vol. 62 ›› Issue (8): 2221-2226.

一种构造化工过程被控变量的方法

叶凌箭，李英道，宋执环

浙江大学工业控制技术国家重点实验室,浙江杭州 310027;浙江大学宁波理工学院,浙江宁波 315100

出版日期:2011-08-05 发布日期:2011-08-05

New approach for constructing controlled variables for chemical processes

YE Lingjian，LI Yingdao,SONG Zhihuan

Online:2011-08-05 Published:2011-08-05

摘要/Abstract

摘要：

针对化工过程的控制结构设计问题，提出了一种构造被控变量的新方法。选取最优性条件（NCO）为被控变量，可在反馈控制器作用下使过程运行在最优点。针对某些NCO条件在线不可测的问题，基于神经网络找到可测变量的非线性函数关系来近似NCO条件，并选取这些函数关系为被控变量。对一个放热反应过程的研究表明，提出的方法可对过程近似优化控制。

关键词: FONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">控制结构设计FONT-SIZE: 9pt, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">被控变量选择FONT-SIZE: 9pt, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">优化控制FONT-SIZE: 9pt, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;NCOFONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareas

Abstract:

This paper presents a new approach to construct controlled variables(CVs)for chemical processes.The necessary conditions of optimality(NCOs)are selected as CVs,thus the process is maintained at the optimum operation point under the actions of feedback controllers.However,some NCOs are online immeasurable,so the nonlinear function relationships between measured variables and unmeasured NCOs are found via neural network,and select the functions as CVs.An exothermic reactor example illustrates that the proposed method is able to achieve approximate optimal control.

Key words: FONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">控制结构设计FONT-SIZE: 9pt, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">被控变量选择FONT-SIZE: 9pt, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA">优化控制FONT-SIZE: 9pt, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;NCOFONT-SIZE: 9pt, mso-ascii-font-family: Calibri, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareas

中图分类号:

TP 273

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 Lingjian, LI Yingdao, SONG Zhihuan. New approach for constructing controlled variables for chemical processes[J]. CIESC Journal, 2011, 62(8): 2221-2226.

[1]	王建立, 朱建军, 宋辰兴, 张兴. 3ω法测量纳米流体热导率 [J]. 化工学报, 2011, 62(S1): 42-47.
[2]	马维刚, 王海东, 张兴, 王玮. 多晶金薄膜电子-声子耦合的实验研究 [J]. 化工学报, 2011, 62(S1): 48-53.
[3]	崔福庆, 何雅玲, 程泽东, 李东, 陶于兵. 有压腔式吸热器内辐射传播过程的Monte Carlo模拟 [J]. 化工学报, 2011, 62(S1): 60-65.
[4]	何奎, 汪双凤, 黄间珍. 气液两相流在微小T型三通中的相分配特性 [J]. 化工学报, 2011, 62(S1): 92-96.
[5]	刘绩伟, 吴玉庭, 马重芳. 管肋式空间辐射器设计 [J]. 化工学报, 2011, 62(S1): 103-107.
[6]	李旺, 王情愿, 李瑞龙, 李超, 宇波, 张劲军, 代鹏飞. 大型浮顶油罐温度场数值模拟 [J]. 化工学报, 2011, 62(S1): 108-112.
[7]	胡朝发, 贾力. 脉动热管气液塞振荡运动模型 [J]. 化工学报, 2011, 62(S1): 113-117.
[8]	张艾萍, 谢立强, 徐志明. 超声空化对换热器协同场的影响 [J]. 化工学报, 2011, 62(S1): 130-133.
[9]	曾庆, 郭印诚, 牛振祺, 林文漪. 填料塔中氨水吸收二氧化碳的传质性能 [J]. 化工学报, 2011, 62(S1): 146-150.
[10]	褚燕彬, 曹柳林, 王晶. 利用组合B样条神经网络实现对间歇反应过程的动态建模 [J]. 化工学报, 2011, 62(S1): 157-162.
[11]	吴海波, 方岩雄, 纪红兵. 助溶剂促进的β-环糊精与肉桂醛的包结性能 [J]. 化工学报, 2011, 62(S1): 168-173.
[12]	任楠, 王涛, 吴玉庭, 马重芳. 混合碳酸盐的DSC测量与比热容分析 [J]. 化工学报, 2011, 62(S1): 197-202.
[13]	马有福，袁益超，陈昱，刘海磊，康明. 翅片螺距对锯齿螺旋翅片换热管特性的影响 [J]. CIESC Journal, 2011, 62(9): 2484-2489.
[14]	刘戈，解茂昭，贾明. 基于互动小火焰模型的内燃机燃烧过程大涡模拟 [J]. CIESC Journal, 2011, 62(9): 2490-2498.
[15]	刘娇，孟范平，王震宇，刘启元. 亚甲基蓝光度法研究基于CaO₂的Fenton反应条件 [J]. CIESC Journal, 2011, 62(9): 2520-2526.