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Plant-wide control of a hybrid process

机译:全厂范围内的混合过程控制

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摘要

This paper deals with the model predictive control (MPC) of an industrial hybrid process where continuous and batch units operate jointly: the crystallization section of a sugar factory. The paper describes a plant-wide predictive controller that takes into account, both, continuous objectives and manipulated variables, as well as those related to the discrete operation and logic of the batch units. The MPC is formulated with time events, so that a more efficient NLP optimization technique, instead of MINLP, could be applied. Adaptation is provided by model updating and error estimation. Results of the controller operation in an industrial simulator are provided.
机译:本文讨论了一种工业混合过程的模型预测控制(MPC),在该过程中,连续单元和间歇单元共同运行:制糖厂的结晶区。本文介绍了一个全厂范围的预测控制器,该控制器同时考虑了连续目标和可控变量,以及与批量操作的离散操作和逻辑相关的变量。 MPC包含时间事件,因此可以使用更有效的NLP优化技术代替MINLP。通过模型更新和误差估计来提供适应性。提供了工业模拟器中控制器操作的结果。

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