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