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

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 tempe...

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Bibliographic Details
Published in:Chinese journal of chemical engineering 2008, Vol.16 (4), p.590-598
Main Author: 张伟勇 黄德先 王毓栋 王京春
Format: Article
Language:English
Subjects:
adaptive control
delayed coking furnace
expert control
predictive control
state feedback
专家控制
反馈预测控制
焦化加热炉
白适应状态
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Summary: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.
ISSN:1004-9541
2210-321X
DOI:10.1016/S1004-9541(08)60126-3