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延迟焦化加热炉的自适应状态反馈预测控制和专家控制
引用本文:张伟勇,黄德先,王毓栋,王京春.延迟焦化加热炉的自适应状态反馈预测控制和专家控制[J].中国化学工程学报,2008,16(4):590-598.
作者姓名:张伟勇  黄德先  王毓栋  王京春
作者单位:1. School of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;2. Department of Automation, Tsinghua University, Beijing 100084, China;3. Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China
基金项目:国家重点基础研究发展计划(973计划),国家高技术研究发展计划(863计划)
摘    要:An adaptive state feedback predictive control (SFPC) scheme and an expert control scheme are presented and applied to the temperature control of a 1200 kt·a^-1 delayed coking furnace, which is the key equipment for the delayed coking process. Adaptive SFPC is used to improve the performance of temperature control in normal operation. A simplified nonlinear model on the basis of first principles of the furnace is developed to obtain a state space model by linearization. Taking advantage of the nonlinear model, an online model adapting method is presented to accommodate the dynamic change of process characteristics because of tube coking and load changes. To compensate the large inverse response of outlet temperature resulting from the sudden increase of injected steam of a particular velocity to tubes, a monitoring method and an expert control scheme based on heat balance calculation are proposed. Industrial implementation shows the effectiveness and feasibility of the proposed control strategy.

关 键 词:delayed  coking  furnace  adaptive  control  state  feedback  predictive  control  expert  control  
收稿时间:2007-3-30
修稿时间:2007-3-30  

Adaptive state feedback predictive control and expert control for a delayed coking furnace
ZHANG Weiyong,HUANG Dexian,WANG Yudong,WANG Jingchun.Adaptive state feedback predictive control and expert control for a delayed coking furnace[J].Chinese Journal of Chemical Engineering,2008,16(4):590-598.
Authors:ZHANG Weiyong  HUANG Dexian  WANG Yudong  WANG Jingchun
Affiliation:1. School of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;2. Department of Automation, Tsinghua University, Beijing 100084, China;3. Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China
Abstract:An adaptive state feedback predictive control(SFPC)scheme and an expert control scheme are presented and applied to the temperature control of a 1 200 kt·a-1 delayed coking fumace,which is the key equipment for the delayed coking process.Adaptive SFPC is used to improve the performance of temperature control in normal operation.A simplified nonlinear model on the basis of first principles of the furnace is developed to obtain a state space model by linearization.Taking advantage of me nonlinear model.an online model adapting method is presented to accommodate the dynamic change of process charactenstics because of tube coking and load changes.To compensate the larRe mverse response of outlet temperature resulting trom the sudden increase ot injected steam of a particular velocity to tubes,a monitoring method and an expert control scheme based on heat balance calcula tion are proposed.Industrial implementation shows the effectiveness and leasibility of the proposed control strategy.
Keywords:delayed coking fumace  adaptive control  state feedback  predictive control  expert control
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