文献类型：会议论文

英文题名：Beam-pumping Unit Energy-saving Control System Based on Support Vector Machine

作者：Gao, Meijuan[1,2];Tian, Jingwen[1,2];Zhou, Shiru[1];Zhang, Fan[2]

第一作者：Gao, Meijuan;高美娟

通讯作者：Gao, MJ[1]

机构：[1]Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China;[2]Beijing Univ Chem Technol, Sch Informat Sci, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：IEEE International Conference on Automation and Logistics

会议日期：SEP 01-03, 2008

会议地点：Qingdao, PEOPLES R CHINA

语种：英文

外文关键词：Energy-saving control; Beam-pumping unit; Support vector machine

摘要：Considering the issues that the energy saving process for beam-pumping unit is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The support vector machine (SVM) has the ability of strong nonlinear function approach, it has the ability of strong generalization and it also has the feature of global optimization. In this paper, an intelligent energy-saving control system of beam-pumping unit based on regression SVM is presented. Moreover, we propose a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters. The parameters of energy-saving control process of beam-pumping unit are measured using multi sensors, and then the control system can control the working state of beam-pumping unit real-time. The system is used in the oil recovery plant. The experimental results prove that this system is feasible and effective.