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A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network

机译:基于Elman神经网络的乳液泵站压力控制方法。

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摘要

In order to realize pressure control of emulsion pump station which is key equipment of coal mine in the safety production, the control requirements were analyzed and a pressure control method based on Elman neural network was proposed. The key techniques such as system framework, pressure prediction model, pressure control model, and the flowchart of proposed approach were presented. Finally, a simulation example was carried out and comparison results indicated that the proposed approach was feasible and efficient and outperformed others.
机译:为了实现乳化泵站作为煤矿安全生产中的关键设备的压力控制,分析了控制要求,提出了一种基于埃尔曼神经网络的压力控制方法。给出了系统框架,压力预测模型,压力控制模型等关键技术,并给出了该方法的流程图。最后,通过一个仿真实例,比较结果表明,该方法可行,高效,优于其他方法。

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