Energy-Saving Control System of Beam-Pumping Unit Based on Radial Basic Function Network

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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 radial basic function network (RBFNN) has the ability of strong nonlinear function approach and adaptive learning and also has the feature of fast convergence. In this paper, an intelligent energy-saving control system of beam-pumping unit based on RBFNN is presented. We construct the structure of RBFNN, and adopt the K-Nearest Neighbor algorithm and least square method to train the network. The parameters of energy-saving control process of beam-pumping unit are measured using multi sensors, and then the 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.