Development of Self -Tuning Fuzzy Iterative Learning Control for Controlling a Mechatronic System

摘要：

In this paper, a self-tuning fuzzy iterative learning control algorithm is proposed to ensure the improvement and enhancement in the performance of the control system by using the benefits of both feedback control due to fuzzy controller and feedforward compensation due to iterative learning controller(ILC) merged in the same control system structure. The performance of proposed algorithm was assessed in a mechatronic system to illustrate the validation of the proposed procedure and the effectiveness of the self-tuning fuzzy iterative learning controller. The simulations results show that the proposed self-tuning fuzzy iterative learning control (STFILC) can reduce the trajectory error in far less number of iterations.

关键词： Iterative learning control (ILC) fuzzy control system self-tuning X-Y table computer numerical controlled (CNC) machines

作者: Osama Elshazly Mohammad El-Bardini Nabila M. El-Rabaie

作者单位: Industrial Electronics and Control Engineering Department Faculty of Electronic Engineering Menof- Menofia University Menof, 32952, Egypt

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 193-197

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）