Beam-pumping unit energy-saving control system based on support vector machine

Abstract

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.