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OPTIMIZING PIPELINE TRANSPORTATION USING A FUZZY CONTROLLER

机译:使用模糊控制器优化管道运输

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This paper describes a case of a Proportional Integral (PI) Fuzzy controller development, in order to optimize pipeline transportation capacity. Real process data were acquired so that a real pipeline could be simulated. The fuzzy adaptive PI controller system was developed and interacts with a hydraulic simulator, working on the set-point of a conventional PI controller. A conducted research prior to this work has shown that holding the intermediate delivery valves open as much time as possible, even if this results in a low flow delivering, is better than do a fast delivering in terms of pipeline transportation capacity. The objective of this system is to control the amount of products to be delivered to intermediate stations in such a way that the control valve remains open while the batch is running. Besides that, the control valve opening fraction is changed very smoothly preventing transients in the pipe, until it is closed, which occurs when the station has received the expected demand. In order to accomplish that some information have to be loaded in the software like product demand per station, operational limits of the valve being controlled ( minimum and maximum flow, the flow meter operational limits were also observed ) and products transported at the segment monitored. The software developed can be easily deployed as a specialist system generating logic to be embedded in SCADA Systems or standalone software.
机译:本文介绍了一种比例积分(PI)模糊控制器开发案例,以优化管道运输能力。获取实际过程数据,以便可以模拟实际管道。开发了模糊自适应PI控制器系统,并与液压模拟器进行交互,并在常规PI控制器的设定点上工作。在进行这项工作之前进行的一项研究表明,即使导致低流量输送,保持中间输送阀的打开时间也要尽可能长,这在管道输送能力方面要比快速输送更好。该系统的目的是控制要输送到中间站的产品的数量,以使批处理运行时控制阀保持打开状态。除此之外,控制阀的开度变化非常平稳,防止了管道中的瞬变,直到关闭为止,这是在站收到预期的需求时发生的。为了实现某些信息必须加载到软件中,例如每个工位的产品需求,控制阀的操作极限(最小和最大流量,还观察到流量计的操作极限)以及在监控段中运输的产品。开发的软件可以轻松地部署为生成逻辑的专业系统,以嵌入到SCADA Systems或独立软件中。

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