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

机译:基于ELMAN神经网络的乳化泵站压力控制方法

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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:为了实现乳液泵站的压力控制,该乳液泵站是煤矿在安全生产中的关键设备,提出了基于Elman神经网络的控制要求。 提出了系统框架,压力预测模型,压力控制模型等关键技术,以及所提出的方法的流程图。 最后,进行了模拟示例,并进行了比较结果表明,所提出的方法是可行和有效的,而且表现优于其他方法。

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