Adaptive Backstepping Neural Network Control of Electro-Hydraulic Position Servo System

摘要：

Aiming at the electro-hydraulic servo system with mismatched uncertainties, an adaptive backstepping neural network position controller design is presented. By applying backstepping design strategy and online approaching uncertainties with RBF neural networks, a nonlinear controller for a hydraulic servo-system is developed based on Lyapunov stability theory, the problem of extreme expanded operation quantity is solved. Load, hydraulic cylinder and valve dynamics are incorporate in the design process. An adaptation law is also proposed to deal with uncertainties in hydraulic parameters and the electro-hydraulic shaker is taken as a testing example. Simulation and experiment investigations are provided to show the effectiveness of the proposed method.

作者: Xu Zibin Min Jianqing Ruan Jian

作者单位: The MOE Key Laboratory of Mechanical Manufacture and Automation,Zhejiang University of Technology,Ha College of Biology and Environment Engineering,Zhejiang Shuren University,Hangzhou,310015,China The MOE Key Laboratory of Mechanical Manufacture and Automation,Zhejiang University of Technology,Ha

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 225-228

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）