DocumentCode
2313795
Title
Fuzzy PD iterative learning control algorithm for improving tracking accuracy
Author
Pok, Yang-Ming ; Liew, Kok-Hwa ; Xu, Jian-Xin
Author_Institution
Math. Sci. & Comput. Center, Ngee Ann Polytech., Singapore
Volume
2
fYear
1998
fDate
11-14 Oct 1998
Firstpage
1603
Abstract
The authors develop a new P-type iterative learning control algorithm by supplementing a fuzzy control output of a fuzzy PD controller from the current iteration with a filtered learning control signal of the previous iteration. Analysis shows that the new fuzzy ILC algorithm converges rapidly. The algorithm is tested by simulations and laboratory experiments and is found to give good tracking accuracy and robustness to perturbations
Keywords
convergence; fuzzy control; learning (artificial intelligence); perturbation techniques; tracking; two-term control; convergence; filtered learning control signal; fuzzy ILC algorithm; fuzzy PD controller; fuzzy PD iterative learning control; fuzzy control; laboratory experiments; perturbation robustness; simulation; tracking accuracy; Control systems; Convergence; Error correction; Fuzzy control; Fuzzy systems; Iterative algorithms; Noise robustness; PD control; Robust control; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.728117
Filename
728117
Link To Document