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基于模糊神经网络预报的抽油机节能控制研究
引用本文:丁宝,齐维贵,朱学莉. 基于模糊神经网络预报的抽油机节能控制研究[J]. 电子学报, 2004, 32(10): 1742-1745
作者姓名:丁宝  齐维贵  朱学莉
作者单位:哈尔滨工业大学电气工程及自动化学院,黑龙江哈尔滨 150001
摘    要:基于油田多数抽油机轻载运行的现状,提出抽油机"间歇启停"运行的节能控制方案,考虑采油为一复杂过程,选择模糊神经网络(FNN)预报方法给予实现.为了实现这一方案,首先介绍了T-S模糊神经网络的结构,结合抽油过程的特点和研究的需要,对其进行了简化和改进;然后运用采油现场的样本信息和专家知识对FNN进行训练;最后给出了实用的抽油机节能FNN预报算法,将该算法应用在智能抽油机控制器中,取得了满意的节能效果.

关 键 词:游梁式抽油机  模糊神经网络  预报  BP算法  
文章编号:0372-2112(2004)10-1742-04
收稿时间:2003-01-13

A Study of Energy-Saving Control of Oil Pump Based on Fuzzy Neural Network Prediction
DING Bao,QI Wei-gui,ZHU Xue-li. A Study of Energy-Saving Control of Oil Pump Based on Fuzzy Neural Network Prediction[J]. Acta Electronica Sinica, 2004, 32(10): 1742-1745
Authors:DING Bao  QI Wei-gui  ZHU Xue-li
Affiliation:Electric Engineering and Automation College,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China
Abstract:This paper proposes energy-saving control plan of "intermittent start-stop" operation for oil pump based on light load operation of most oil pumps in oil field.Fuzzy neural network (FNN) prediction method is used as oil-extracting is a complicated process.First,the paper introduces the structure of T-S fuzzy neural network,the structure is simplified and modified combined with the feature of oil-extracting process and requirements for study.Second,the fuzzy neural network is trained by sampling information and expert knowledges.Finally,a practical energy-saving FNN prediction algorithm for oil pump is given.The algorithm is used in controller of intelligent oil pump and energy-saving effects are achieved.
Keywords:beam-balanced pump  fuzzy neural network  prediction  BP algorithm
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