首页 | 官方网站   微博 | 高级检索  
     

化工过程基于广义非线性状态观测器的不可测输入和不确定模型参数软仪表(英文)
引用本文:许锋,汪晔晔,罗雄麟. 化工过程基于广义非线性状态观测器的不可测输入和不确定模型参数软仪表(英文)[J]. 中国化学工程学报, 2013, 21(9): 1038-1047. DOI: 10.1016/S1004-9541(13)60570-4
作者姓名:许锋  汪晔晔  罗雄麟
作者单位:Research Institute of Automation, China University of Petroleum, Beijing 102249, China
基金项目:Supported by the National Natural Science Foundation of China(21006127);the National Basic Research Program of China(2012CB720500);the Science Foundation of China University of Petroleum,Beijing(KYJJ2012-05-28)
摘    要:Chemical processes are usually nonlinear singular systems. In this study, a soft sensor using nonlinear singular state observer is established for unknown inputs and uncertain model parameters in chemical processes, which are augmented as state variables. Based on the observability of the singular system, this paper presents a simplified observability criterion under certain conditions for unknown inputs and uncertain model parameters. When the observability is satisfied, the unknown inputs and the uncertain model parameters are estimated online by the soft sensor using augmented nonlinear singular state observer. The riser reactor of fluid catalytic cracking unit is used as an example for analysis and simulation. With the catalyst circulation rate as the only unknown input without model error, one temperature sensor at the riser reactor outlet will ensure the correct estimation for the catalyst cir- culation rate. However, when uncertain model parameters also exist, additional temperature sensors must be used to ensure correct estimation for unknown inputs and uncertain model parameters of chemical processes.

关 键 词:soft sensor  state observer  nonlinear singular system  unknown inputs  uncertain model parameters  riser reactor of fluid catalytic cracking unit  
收稿时间:2012-08-28

Soft Sensor for Inputs and Parameters Using Nonlinear Singular State Observer in Chemical Processes
XU Feng;WANG Yeye;LUO Xionglin. Soft Sensor for Inputs and Parameters Using Nonlinear Singular State Observer in Chemical Processes[J]. Chinese Journal of Chemical Engineering, 2013, 21(9): 1038-1047. DOI: 10.1016/S1004-9541(13)60570-4
Authors:XU Feng  WANG Yeye  LUO Xionglin
Affiliation:Research Institute of Automation, China University of Petroleum, Beijing 102249, China
Abstract:Chemical processes are usually nonlinear singular systems. In this study, a soft sensor using nonlinear singular state observer is established for unknown inputs and uncertain model parameters in chemical processes, which are augmented as state variables. Based on the observability of the singular system, this paper presents a simplified observability criterion under certain conditions for unknown inputs and uncertain model parameters. When the observability is satisfied, the unknown inputs and the uncertain model parameters are estimated online by the soft sensor using augmented nonlinear singular state observer. The riser reactor of fluid catalytic cracking unit is used as an example for analysis and simulation. With the catalyst circulation rate as the only unknown input without model error, one temperature sensor at the riser reactor outlet will ensure the correct estimation for the catalyst circulation rate. However, when uncertain model parameters also exist, additional temperature sensors must be used to ensure correct estimation for unknown inputs and uncertain model parameters of chemical processes.
Keywords:soft sensor   state observer   "nonlinear singular system   unknown inputs   uncertain model parameters  riser reactor of fluid catalytic cracking unit
本文献已被 CNKI 维普 ScienceDirect 等数据库收录!
点击此处可从《中国化学工程学报》浏览原始摘要信息
点击此处可从《中国化学工程学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号