DocumentCode :
3532304
Title :
Adaptive PI type iterative learning control
Author :
Madady, Ali ; Reza-Alikhani, Hamid-Reza
Author_Institution :
Electr. Eng. Dept., Tafresh Univ., Tafresh, Iran
fYear :
2010
fDate :
7-9 July 2010
Firstpage :
37
Lastpage :
42
Abstract :
Based on combination of an optimal PI type iterative learning controller and projection like adjusting algorithm, an adaptive iterative learning control scheme is presented for repetitive control of uncertain systems. This adaptive iterative learning controller is designed without any priori knowledge of system parameters. The convergence of the presented scheme is analyzed and its convergence condition is obtained in terms of adjusting algorithm step size. An illustrative example is given to demonstrate the effectiveness of the proposed technique.
Keywords :
PI control; adaptive control; convergence; iterative methods; learning systems; optimal control; uncertain systems; adaptive PI type iterative learning control; adjusting algorithm step size; convergence condition; optimal PI type iterative learning controller; repetitive control; system parameters; uncertain systems; Adaptive control; Adaptive systems; Algorithm design and analysis; Control systems; Convergence; Error correction; Iterative algorithms; Optimal control; Programmable control; Uncertain systems; Adaptive ILC; Iterative Learning Control; Monotonic Convergence; PI Type ILC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (IS), 2010 5th IEEE International Conference
Conference_Location :
London
Print_ISBN :
978-1-4244-5163-0
Electronic_ISBN :
978-1-4244-5164-7
Type :
conf
DOI :
10.1109/IS.2010.5548330
Filename :
5548330
Link To Document :
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