Paper Title :Learning Feed Forward Control for High Performance of Tracking Error
Author :Karkar Nora, Benmhammed
Article Citation :Karkar Nora ,Benmhammed ,
(2019 ) " Learning Feed Forward Control for High Performance of Tracking Error " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 71-76,
Volume-7,Issue-3
Abstract : The ILC subject is to improve transient responses for repetitive systems .In traditional control, a given repetitive
system will produce the same cycle-after-cycle path error for a given trajectory, since the error and the command will be the
same. The ILC algorithms try to improve this phenomenon by changing the input control of the next cycle, based on the
error of the previous cycle. This technique has the advantage that it can be used without prior knowledge of the system to be
controlled. In this article a comparative study will be done , including the previous cycle learning configuration, and current
cycle learning configuration. The λ-norm is adopted as the topological measure in the demonstration of the asymptotic
stability of this technique of control , when the iteration number tends to infinity. The theoretical are illustrated by
simulation. The results of simulations prove clearly the efficiency of the control by iterative learning.
Keywords - Iterative learning control, controlled system, previous iteration, λ-norm, learning filter
Type : Research paper
Published : Volume-7,Issue-3
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-15155
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Copyright: © Institute of Research and Journals
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Published on 2019-06-03 |
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