Adaptive Fuzzy Iterative Learning Controller for X-Y Table Position Control

被引：0
|
作者：
Elshazly, Osama [1 ]
El-bardini, Mohammad [1 ]
El-Rabaie, Nabila M. [1 ]
机构：
[1] Menoufiya Univ, Ind Elect & Control Engn Dept, Fac Elect Engn Menouf, Menufia, Egypt
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS | 2014年
关键词：
MOTION CONTROL; COMPENSATION; FEEDFORWARD;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an adaptive fuzzy iterative learning control algorithm is proposed for controlling one of the Mechatronics systems. The proposed control scheme is based upon a proportional-derivative-integral (PID) iterative learning control (ILC), for which a fuzzy control is added to tune the parameters of the PID-type ILC. Moreover, an adaptation law is added to the fuzzy control in order to automatically select the proper fuzzy membership functions. The performance of proposed algorithm was assessed in computer numerical controlled (CNC) machine X-Y table to illustrate the validation and the effectiveness of the proposed procedure. The simulation results show that the proposed algorithm can reduce the trajectory error in a far less number of iterations.
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页数：6
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