Energy Saving Control System of Long Stroke Pumping Unit Based on RBF Neural Network

摘要：

Based on the highly nonlinear electromagnetism characteristics switched reluctance motor (SRM) of long stroke pumping, traditional PID controller cant achieve good performance index and meet energy-saving requirements. This paper presents a novel approach of RBF neural network PID adaptive control for SRM based on RBF neural network online identification and learning algorithm of variable learning rate. The experimental results show that a high control performance is achieved. The control method has fast response, small overshoot, strong robustness and adaptivity, and the system has better energy-saving effect. switched reluctance motor; neural network; PID

关键词： control long stroke pumping unit energy-saving

作者: Yi-lin ZHOU Da-wei CAI

作者单位: College of Automatic and electronic engineering Qingdao University of Science&Technology Qingdao, 266042 China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 718-721

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）