Improving Path Accuracy in Varying Pick and Place Processes by means of Trajectory Optimization using Iterative Learning Control

2018 ◽  
pp. 251-259 ◽  
Author(s):  
Daniel Kaczor ◽  
Tobias Recker ◽  
Svenja Tappe ◽  
Tobias Ortmaier
Keyword(s):  
Iterative Learning Control ◽  
Trajectory Optimization ◽  
Learning Control ◽  
Iterative Learning ◽  
Pick And Place

Output Information Based Iterative Learning Control Law Design With Experimental Verification

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Lukasz Hladowski ◽  
Krzysztof Galkowski ◽  
Zhonglun Cai ◽  
Eric Rogers ◽  
Chris T. Freeman ◽  
...  
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Control Law ◽  
Linear Repetitive Processes ◽  
Pick And Place ◽  
Output Information ◽  
Gantry Robot ◽  
Pick And Place Operation ◽  
Trial Performance

This paper considers iterative learning control law design using the theory of linear repetitive processes. This setting enables trial-to-trial error convergence and along-the-trial performance to be considered simultaneously in the design. It is also shown that this design extends naturally to include robustness to unmodeled plant dynamics. The results from experimental application of these laws to a gantry robot performing a pick and place operation are given, together with a discussion of the positioning of this approach relative to alternatives and possible further research.

Iterative Learning Control for a Class of Linear Discrete-time Switched Systems

2014 ◽  
Vol 39 (9) ◽  
pp. 1564-1569 ◽  
Author(s):  
Xu-Hui BU ◽  
Fa-Shan YU ◽  
Zhong-Sheng HOU ◽  
Fu-Zhong WANG
Keyword(s):  
Discrete Time ◽  
Switched Systems ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning

scholarly journals Application of the Dynamic Iterative Learning Control to the Heteroplanar Active Magnetic Bearing

2020 ◽  
Vol 53 (2) ◽  
pp. 1511-1516
Author(s):  
Lukasz Hladowski ◽  
Arkadiusz Mystkowski ◽  
Krzysztof Galkowski ◽  
Eric Rogers ◽  
Bing Chu
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Magnetic Bearing ◽  
Iterative Learning ◽  
Active Magnetic Bearing
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