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首页> 外文期刊>International Journal of Mineral Processing >Interface level regulation in an oil sands separation cell using model-based predictive control
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Interface level regulation in an oil sands separation cell using model-based predictive control

机译:使用基于模型的预测控制对油砂分离池中的界面液位进行调节

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摘要

Large-scale separation cells, used in primary extraction in the oil sands industry, are integral parts of the overall process of bitumen extraction. Good regulation of the interface level between the bitumen froth and the middlings in these cells can result in a significant improvement in bitumen recovery and throughput and heavily influence process economics. This paper details a case study application of identification and design of a model based predictive controller for the separation cell process. Internal model control (IMC) and model predictive control (MPC) schemes using linear models are designed and implemented in real time on the industrial separation cell The industrial implementation result shows that both IMC and MPC schemes provide significant benefits over the current operations which use a PID controller. The benefits include significant reduction in the variance of the interface level and underflow pump movement, resulting in higher bitumen recovery, smoother operations downstream and pump energy savings. (C) 2015 Elsevier B.V. All rights reserved.
机译:在油砂工业的初次萃取中使用的大型分离室是沥青萃取整个过程的组成部分。这些单元中的沥青泡沫和中层之间的界面水平的良好调节可导致沥青回收率和生产量的显着提高,并严重影响工艺经济性。本文详细介绍了一个案例研究应用,该应用在分离细胞过程识别和设计基于模型的预测控制器中得到了应用。在工业分离单元上实时设计和实施使用线性模型的内部模型控制(IMC)和模型预测控制(MPC)方案。工业实施结果表明,与使用ACM的当前操作相比,IMC和MPC方案均具有明显的优势。 PID控制器。好处包括大大降低了界面高度和下溢泵运动的变化,从而提高了沥青的回收率,顺畅地进行了下游操作并节省了泵的能量。 (C)2015 Elsevier B.V.保留所有权利。

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