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Control of centrifugal compressors via model predictive control for enhanced oil recovery applications

机译:通过模型预测控制对离心式压缩机进行控制,用于增强的采油应用

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This paper proposes a control system for integrated pressure and surge control of centrifugal compressors for enhanced oil recovery application. The proposed control system is based on linear model predictive control. A fully validated non-linear dynamic model was developed in order to simulate the operation of the compressor at full and partial load. The model of the compression system includes a main process line with the compressor and a recycle line with the antisurge recycle valve. Different disturbance and control tuning scenarios were tested and the response of the model predictive controller was analysed, evaluated and also compared with a traditional control system. Temperature effects have been taken into account in the model of the process and in the constraint formulation of the MPC optimization problem. The results show that the proposed control technique is able to meet the process demand while preventing surge and also minimizing the amount of gas recycle.
机译:本文提出了一种控制系统,用于离心压缩机的集成压力和电涌控制,用于增强的采油应用。所提出的控制系统基于线性模型预测控制。开发了一个完全验证的非线性动态模型,以便在完全和部分负载下模拟压缩机的操作。压缩系统的模型包括带压缩机的主要过程线和具有抗抵抗回收阀的循环线。测试了不同的干扰和控制调整场景,并分析了模型预测控制器的响应,评估,并与传统的控制系统进行了比较。在过程的模型和MPC优化问题的约束制定中,已经考虑了温度效应。结果表明,该控制技术能够满足过程需求,同时防止浪涌,并最大限度地减少气体再循环量。

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