Fuzzy Self-learning Sliding Mode Control and Its Application to Electro-hydraulic Servo System

摘要：

Based on integrating the property of sliding mode control (SMC) with the thought of variable universe in adaptive fuzzy controller, a design method of variable universe fuzzy self-learning sliding mode control (FSSMC) is proposed. The rule-base designed is general and simple. By adjusting the universes of input variables and the membership functions of conclusion part in rules on-line, the high frequency chattering in the control input caused by sliding mode switching control can be effectively minimized, without sacrificing the strong robustness of SMC. Meanwhile, the goal of tracking control is obtained, and tracking precision is highly enhanced. Finally, the proposed control method is applied to the electro-hydraulic servo position tracking system. Simulation results verify the validity of the proposed approach.

作者: Fei Cao Yunfeng Liu Xiaogang Yang Honglei Zhang

作者单位: 101Lab,Xian Research Inst.Of High-tech,Hongqing Town,710025 Xian,China The second Artillery Military Representative Office in Chengdu Region,610036 Chengdu,China 303 Lab,Xian Research Inst.Of High-tech,Hongqing Town,710025 Xian,China The second Artillery Equipment Department,100085 Beijing,China

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: 438-443

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）