| 改进型Elman网络在水厂智能投药控制系统中的应用 |
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| 引用本文： | 漆为民,杨晓林. 改进型Elman网络在水厂智能投药控制系统中的应用[J]. 江汉大学学报(自然科学版), 2009, 37(1) |
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| 作者姓名： | 漆为民 杨晓林 |
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| 作者单位： | 江汉大学,物理与信息工程学院,武汉,430056;江汉大学,物理与信息工程学院,武汉,430056 |
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| 摘 要： | 水厂投药系统由于存在非线性、大滞后、多输入因子等特点,多年来难以实现自动控制.在充分分析自来水厂现有的大量有效历史数据和丰富实践经验的基础上,建立了基于Elman动态神经网络的智能混凝投药控制方式,并对系统的实现作了较为详细的说明.实践证明,该系统具有自学习和自适应的能力,控制精度高,克服了传统人工操作的失误隐患,并取得了较好的经济效益.
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| 关 键 词： | 投药系统 水厂 智能控制 Elman动态神经网络 |
Application of Dynamic Neural Network in Intelligent Chemical Feeding Control System of Waterworks |
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| QI Wei-min,YANG Xiao-lin. Application of Dynamic Neural Network in Intelligent Chemical Feeding Control System of Waterworks[J]. Journal of Jianghan University(Natural Sciences), 2009, 37(1) |
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| Authors: | QI Wei-min YANG Xiao-lin |
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| Abstract: | Control system for chemical feeding in waterworks have the properties of nonlinear,large time-delay,multi-input factor.It is difficult to realize automatic control.Based on the large effective historical data and plentiful experience in waterworks,establishes intelligent coagulant chemical feeding method based on Elman dynamical neural network,then system realization is in-troduced in detail.The result of one year's application shows that the control system have the abilities of self-study and self-adaptive,high control precision.It also overcomes the mistakes of hidden danger of traditional control mode and good economic benefit has been obtained. |
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| Keywords: | chemical feeding waterworks intelligent control Elman dynamic neural network |
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