DocumentCode :
494513
Title :
Robust Iterative Learning Control for flexible link under parametric uncertainty
Author :
Nguyen, Dinh Hoa ; Banjerdpongchai, David
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
Volume :
01
fYear :
2009
fDate :
6-9 May 2009
Firstpage :
376
Lastpage :
379
Abstract :
In this paper, we present the design of a robust Iterative Learning Control (ILC) algorithm for a single flexible link in the presence of parametric uncertainty. The robust ILC design is formulated as a min-max problem with a quadratic performance index. An upper bound of the worst-case performance is employed in the min-max problem. Applying Lagrange duality to the min-max problem, we can reformulate the robust ILC design as a convex optimization over linear matrix inequalities (LMIs). An LMI algorithm for the robust ILC design is given. Finally, the simulation results for a single flexible link are presented to illustrate the effectiveness of the proposed robust ILC algorithm.
Keywords :
adaptive control; control system synthesis; duality (mathematics); flexible manipulators; iterative methods; learning systems; linear matrix inequalities; minimax techniques; robust control; uncertain systems; Lagrange duality; convex optimization; flexible link system; linear matrix inequality; min-max problem; parametric uncertainty; quadratic performance index; robust iterative learning control algorithm design; Algorithm design and analysis; Design optimization; Iterative algorithms; Lagrangian functions; Linear matrix inequalities; Performance analysis; Robust control; Robustness; Uncertainty; Upper bound; Flexible link; iterative learning control; linear matrix inequalities; min-max problem; quadratic performance; uncertain linear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
Type :
conf
DOI :
10.1109/ECTICON.2009.5137030
Filename :
5137030
Link To Document :
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