Application of Adaptive RBF-SMC for Electro-hydraulic Position Servo System

摘要：

Electro-hydraulic servo system was hard to control with traditional control strategy and RBF-SMC(Radial Basis Function neural networks-Sliding Mode Control) controller was designed for this system.The mathematical model of the electro-hydraulic servo system was analyzed and the neural sliding mode controller was designed,the control law of sliding mode control was based on linearization feedback techniques and estimate parameters with RBF neural network.The simulation shows RBF neural networks can learning the uncertainties and disturbance,RBF-SMC has good control performance of reduces chattering and parameters estimation.

关键词： neural sliding mode control electro-hydraulic position servo system linearization feedback simulation

作者: Wang Wu Zhao Zheng-Yin

作者单位: School of Electrical and information Engineering,Xu Chang University,Xuchang,China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Advanced Material Research(2012 第二届先进材料研究国际会议 ICAMR2012)

会议地点: 成都

会议语种:英文

页码: 1440-1444

在线出版日期: 2012-01-07（万方平台首次上网日期，不代表论文的发表时间）