PARTITION COMPENSATION ALGORITHM FOR FRICTION BASED ON ADAPTIVE FUZZY NEURAL NETWORK

摘要：

For nonlinear friction force in hydraulic position tracking system, partition compensation is employed to solve the problem of large approximation error caused by non-smooth characteristic of friction when the friction is compensated globally by fuzzy neural network (FNN). The experimental results show that the partition compensation algorithm is effective in compensating the nonlinearity, and the system has good steady-state tracking performance.

关键词： Hydraulic position tracking system adaptive fuzzy neural network partition compensation

作者: YU JIANG JUN CAO GUO-HUI YANG

作者单位: Information and Communication Engineering College, Harbin Engineering University, Harbin 150001, Chi Communication Engineering Department, Northeast Forestry University, Harbin 150040, China Harbin Institute of Technology,Microwave Theory and Techniques Department,Harbin 150001,China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1930-1935

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）