| 基于流量特性的调节阀阀芯曲线智能拟合 |
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| 引用本文： | 李战明,王云峰,袁占亭.基于流量特性的调节阀阀芯曲线智能拟合[J].中山大学学报(自然科学版),2009,48(1). |
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| 作者姓名： | 李战明 王云峰 袁占亭 |
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| 作者单位： | 1. 兰州理工大学电气工程和信息工程学院,甘肃,兰州,730000
2. 兰州理工大学电气工程和信息工程学院,甘肃,兰州,730000;甘肃政法学院计算机科学学院,甘肃,兰州,730070 |
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| 基金项目： | 国家高技术产业发展计划 |
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| 摘 要： | 在金川公司选矿厂2006年大型浮选设备工业实验中，为保证矿浆液面自动控制系统液位的稳定性，提出了一种符合现场复杂情况，具有线性流量特性调节阀阀芯曲线的智能拟合方法。在基于过程补余量算法中，结合BP神经网络模型，用不同形状的调节阀阀芯曲线改变调节阀的原有流量特性，从对控制的稳定性、控制响应的时效性等因素考虑后，确定了这种阀芯的最佳拟合曲线，经现场实际使用验证，效果良好。
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| 关 键 词： | BP神经网络模型 液位 阀芯曲线 流量特性 智能拟合 |
| 收稿时间： | 2008-03-27; |
The Intelligent Fitting Method for Valve Core Curve Based on FlowCharacteristics of Regulating Valve |
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| LI Zhanming,WANG Yunfeng,YUAN Zhanting.The Intelligent Fitting Method for Valve Core Curve Based on FlowCharacteristics of Regulating Valve[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2009,48(1). |
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| Authors: | LI Zhanming WANG Yunfeng YUAN Zhanting |
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| Institution: | (1.College of electrical and Information Engineering, Lanzhou Univ. of Tech., Lanzhou 730050;(2.Computer Science Institute, Gansu Political Science and Law Institute Lanzhou 730070) |
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| Abstract: | The study was conducted on large flotation equipment in ore plants of Jinchuan Group Ltd during 2006, the intelligent fitting method of valve core curve is proposed based on the linear flow characteristic of regulating valve. Optimal curve fitting is determined based on replenishment quantity of flotation process and model of BP neural network with using the different shape of valve core curve. Industrial experiments have shown that the method has a wide using prospect with high reliability, high stability of the flotation machine liquid level and high effectiveness of level control system. |
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| Keywords: | model of BP neural network liquid level valve core curve flow characteristic intelligent fitting |
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