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Predictive functional control (PFC) applied to an unstable system. An industrial application

机译:应用于不稳定系统的预测功能控制(PFC)。工业应用

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This paper describes an industrial application of Predictive Functional Control (PFC), which belongs to a family of Model Predictive Control (MBPC) developed by Richalet and coworkers during the last decades. The case presented in this work consists on controlling the bottom level and the reboiler temperature of a stripper distillation column, which belongs to the naphtha hydrotreater (Hydrobon) plant located at REPSOL-YPF Plaza Huincul refinery. The Hydrobon plant objective is to eliminate the downstream naphtha reforming (Platforming) plant catalyst. Level and temperature control by zone strategy is implemented; it involves keep the level and temperature inside a specific allowable band with respect to the set point and the corresponding controller tuning parameters are adjusted depending on that. The project consisted in three main steps, process identification, off-line controller design and on-line commissioning. The controllers were implemented in the control processor of the Distributed Control System (DCS). This paper presents the details of the identification, and off-line design, as well as the results obtained after the control strategies commissioning.
机译:本文介绍了预测功能控制(PFC)的工业应用,属于在过去几十年中由Richalet和Coworkers开发的模型预测控制(MBPC)的家庭。本作工作中提出的案例包括控制脱脂蒸馏塔的底部水平和再沸器温度,属于位于Repsol-YPF Plaza Huincul炼油厂的石脑油修道杆(Hydrobon)植物。氢植物植物目的是消除下游石脑油重整(平台)植物催化剂。实施区域策略的水平和温度控制;它涉及保持特定允许频带内的水平和温度相对于设定点,并且根据该设定的控制器调整参数进行调整。该项目组成三个主要步骤,进程识别,离线控制器设计和在线调试。控制器在分布式控制系统(DCS)的控制处理器中实现。本文介绍了识别和离线设计的细节,以及在控制策略调试后获得的结果。

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