SCI和EI收录∣中国化工学会会刊

›› 2008, Vol. 16 ›› Issue (4): 590-598.

• • 上一篇    下一篇

Adaptive State Feedback Predictive Control and Expert Control for a Delayed Coking Furnace

张伟勇1,2, 黄德先2,3, 王毓栋2,3, 王京春2,3   

  1. 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
  • 收稿日期:2007-03-30 修回日期:2008-03-05 出版日期:2008-08-28 发布日期:2008-08-28
  • 通讯作者: HUANG Dexian, E-mail: huangdx@mail.tsinghua.edu.cn
  • 基金资助:
    the State Key Development Program for Basic Research of China(2002CB312200);the National High Technology Research and Development Program of China(2007AA04Z193)

Adaptive State Feedback Predictive Control and Expert Control for a Delayed Coking Furnace

ZHANG Weiyong1,2, HUANG Dexian2,3, WANG Yudong2,3, WANG Jingchun2,3   

  1. 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
  • Received:2007-03-30 Revised:2008-03-05 Online:2008-08-28 Published:2008-08-28
  • Supported by:
    the State Key Development Program for Basic Research of China(2002CB312200);the National High Technology Research and Development Program of China(2007AA04Z193)

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

Abstract: 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.

Key words: delayed coking furnace, adaptive control, state feedback, predictive control, expert control