scholarly journals Linear Parameter-Varying Iterative Learning Control With Application to a Linear Motor System

2010 ◽  
Vol 15 (3) ◽  
pp. 412-420 ◽  
Author(s):  
M. Butcher ◽  
A. Karimi
2012 ◽  
Vol 546-547 ◽  
pp. 236-241
Author(s):  
Song Yang ◽  
Hang Ma ◽  
Jun You Yang ◽  
Huai Yang Shen ◽  
Sheng Quan Chang

A high-order Iterative Learning Control (ILC) strategy is designed for Permanent Magnet Linear Motor (PMLSM). This iterative learning controller is designed to high-order open and closed loop PID-type. This paper gives the convergence conditions of the proposed controller and proves that the tracking bound is determined by the bounds of state uncertainty and output disturbance to the system. The proposed ILC strategy result shows that position precision of PMLSM in point-to-point motion can be effectively improved with this scheme. The experiments demonstrate that the presented ILC strategy is effective and robust.


2014 ◽  
Vol 1049-1050 ◽  
pp. 973-976
Author(s):  
Yu Liu

The relatively simple control strategy can decrease the complexity of the ultrasonic motor system and increase the cost performance. The nonlinear iterative learning control algorithm is simple, the control parameters can be determined according to little experimental knowledge. According to the control characteristics of ultrasonic motor, the nonlinear iterative learning control algorithm is improved and the nonlinear iterative learning control strategy of motor’s speed is designed. Experiments show that the motor system has good iterative learning capacity, the control effect is improved generally in the repeated learning process and the control strategy is simple and effective.


Sign in / Sign up

Export Citation Format

Share Document