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机构地区:[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]Tsinghna National Laboratory for Information Science and Technology, Beijing 100084, China
出 处:《Chinese Journal of Chemical Engineering》2008年第4期590-598,共9页中国化学工程学报(英文版)
基 金: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.预兆的控制(SFPC ) 计划和专家控制策划的适应州的反馈被介绍并且适用于 1200 kt 路 a 的温度控制 ? 1 推迟了 coking 炉子,它是为推迟的 coking 进程的关键设备。适应 SFPC 被用来在正常操作改进温度控制的表演。一个简化非线性的模型根据炉子的第一个原则被开发由 linearization 获得一个州的空间模型。利用非线性的模型,因为试管 coking 和负担变化,改编方法的一个联机模型被介绍提供过程特征的动态变化。为了补偿源于特别速度的注射蒸气的突然的增加到试管,一个监视方法和一位专家的插头温度的大反的反应,基于热控制计划平衡计算被建议。工业实现显示出建议控制策略的有效性和可行性。
关 键 词:delayed coking furnace adaptive control state feedback predictive control expert control
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