文章基本信息

标题：Research on Intelligent Optimization Control Method for Oil Pumping:
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作者：Jingwen Tian ; Meijuan Gao ; Guangshuang Ge 等
期刊名称：Advances in Mechanical Engineering
印刷版ISSN：1687-8140
电子版ISSN：1687-8140
出版年度：2014
卷号：6
页码：1-8
DOI：10.1155/2014/926958
语种：English
出版社：Sage Publications Ltd.
摘要：In the oil production process, some oil pumps exist in the light load running and empty pumping problems, which result in the waste of electric energy. In order to realize the oil pumping energy saving optimal control by adopting oil pumping start-stop intermittent control scheme, an intelligent energy saving optimal control system based on genetic algorithm and wavelet neural network is proposed in this paper. The Morlet wavelet is adopted as the activation function of neural network and builds the wavelet neural networkandthe structure and parameters of the wavelet neural network which are chromosome encoded, and the genetic algorithm is used to optimize the connection weights and the scale parameters in order to improve the generalization ability and the approximation ability of neural networks. The parameters of effective oil pumping energy saving optimal control are measured using multisensors. The system is used in the oil production plant; the test data show that the oil pumping energy conservation effect is obvious.