Neuro-Fuzzy Precompensator in Servo Pneumatic System
Because of the dead-zone nonlinearity characteristic in pneumatic system,high steady state error and overshoot have occurred in the position response as a typical imperfect implementation of associated control dynamic.In this situation,there is a necessity to be able to effectively utilizing the intelligent controller framework.The primary purpose of this research is to develop a control algorithm based on precompensated neuro-fuzzy for a typical pneumatic servo system.This precompensator neurofuzzy combined with fuzzy controller will be implemented to enhance the overall performance.Experiments were carried out and the experimental results illustrated that the above precompensated intelligent framework can improve the overall the performance.
Neuro-fuzzy control Precompensated control Pneumatic system
Wanayuth Sanngoen Watcharin Po-nagoen
Department of Mechatronics Engineering Sripatum University,61 Phaholyotin Rd.,Jatujak,Bangkok,Thaila Department of Teacher Training in Mechanical Engineering,King Mongkuts University of Technology Nor
国际会议
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)
沈阳
英文
78-82
2010-03-27(万方平台首次上网日期,不代表论文的发表时间)