Adaptive fuzzy iterative learning controller for X-Y table position control

2014 ◽  
Author(s):  
Osama Elshazly ◽  
Mohammad El-bardini ◽  
Nabila M. El-Rabaie
Keyword(s):  
Position Control ◽  
Iterative Learning ◽  
Adaptive Fuzzy

Research on Iterative Learning Servo Controller of Permanent Magnet Linear Synchronous Motor

2011 ◽  
Vol 299-300 ◽  
pp. 856-859
Author(s):  
Yong Cao ◽  
De Jun Luo ◽  
Hua De Li
Keyword(s):  
Permanent Magnet ◽  
Position Control ◽  
Iterative Learning ◽  
Nonlinear Load ◽  
Feed Forward ◽  
Rbf Network ◽  
Position Signal ◽  
Position Controller ◽  
Feedback Error ◽  
Servo Controller

An iterative learning servo controller with RBF network feed-forward position compensation is proposed to control the mover of permanent magnet linear servo system to track reference position signal. The structure of RBF feed-forward position controller is analyzed in detail. The effective estimation of nonlinear load is realized by higher-order D-type iterative learning identification method. The feedback position control law was made up of load identification and feedback error signal. Finally, the simulation results demonstrate that this method can assure system obtains good servo performance.

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