Research on Neural Networks based Modelling and Control of Electrohydraulic System

摘要：

The electrohydraulic servo system of a certain type of mines weeping plough is a complex and nonlinear system.It is difficult to construct its accurate model by first principle method and to achieve satisfactory control performance by traditional PID controller.In this paper,the radial basis function neural network with orthogonal least square learning algorithm is used to model the electrohydraulic system and the neural network based direct inverse is adopted to control the system.The experimental results and comparisons with other techniques clearly show the validity of the proposed methods.

关键词： electrohydraulic system neural network modelling direct inverse control

作者: Pang Xue-miao Zhang Yuan Xing Zong-yi Qin Yong Ma Li-min

作者单位: School of Mechanical Engineering Nanjing University of Science and Technology Nanjing,China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 34-38

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）