Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation

Salim Ibrir; Craig Ramlal

doi:10.1109/INDIN.2014.6945535

Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation

Salim Ibrir
, Craig Ramlal

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Iterative Learning Control (ILC) is a powerful intelligent tool for stabilization of repetitive-task systems. However, choosing and fixing the gains of ILC schemes is not an easy task due to the fact that information propagation is present in two independent directions. In this paper, we propose new sufficient linear matrix inequality conditions for the design of iterative learning trackers for a special class of discrete-time nonlinear systems. The control designs have been testified by the application of different real-time experiments using dsPIC 33 micro-controller and software in the loop simulation. The application of the developed results to speed control of a DC motor subject to a nonlinear friction shows satisfactory tracking performance in real time.

Original language	English
Title of host publication	Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	338-343
Number of pages	6
ISBN (Electronic)	9781479949052
DOIs	https://doi.org/10.1109/INDIN.2014.6945535
State	Published - 3 Nov 2014

Publication series

Name	Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus subject areas

General Computer Science
Control and Systems Engineering

Access to Document

10.1109/INDIN.2014.6945535

Cite this

Ibrir, S., & Ramlal, C. (2014). Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation. In Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014 (pp. 338-343). Article 6945535 (Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDIN.2014.6945535

Ibrir, Salim ; Ramlal, Craig. / Iterative learning control schemes for a class of nonlinear systems : Theory and real-time implementation. Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 338-343 (Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014).

@inproceedings{dff4f6153a3949d19a6bc0476c9e35b9,

title = "Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation",

abstract = "Iterative Learning Control (ILC) is a powerful intelligent tool for stabilization of repetitive-task systems. However, choosing and fixing the gains of ILC schemes is not an easy task due to the fact that information propagation is present in two independent directions. In this paper, we propose new sufficient linear matrix inequality conditions for the design of iterative learning trackers for a special class of discrete-time nonlinear systems. The control designs have been testified by the application of different real-time experiments using dsPIC 33 micro-controller and software in the loop simulation. The application of the developed results to speed control of a DC motor subject to a nonlinear friction shows satisfactory tracking performance in real time.",

author = "Salim Ibrir and Craig Ramlal",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2014",

month = nov,

day = "3",

doi = "10.1109/INDIN.2014.6945535",

language = "English",

series = "Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "338--343",

booktitle = "Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014",

address = "United States",

}

Ibrir, S & Ramlal, C 2014, Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation. in Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014., 6945535, Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014, Institute of Electrical and Electronics Engineers Inc., pp. 338-343. https://doi.org/10.1109/INDIN.2014.6945535

Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation. / Ibrir, Salim; Ramlal, Craig.
Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 338-343 6945535 (Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Iterative learning control schemes for a class of nonlinear systems

T2 - Theory and real-time implementation

AU - Ibrir, Salim

AU - Ramlal, Craig

PY - 2014/11/3

Y1 - 2014/11/3

N2 - Iterative Learning Control (ILC) is a powerful intelligent tool for stabilization of repetitive-task systems. However, choosing and fixing the gains of ILC schemes is not an easy task due to the fact that information propagation is present in two independent directions. In this paper, we propose new sufficient linear matrix inequality conditions for the design of iterative learning trackers for a special class of discrete-time nonlinear systems. The control designs have been testified by the application of different real-time experiments using dsPIC 33 micro-controller and software in the loop simulation. The application of the developed results to speed control of a DC motor subject to a nonlinear friction shows satisfactory tracking performance in real time.

AB - Iterative Learning Control (ILC) is a powerful intelligent tool for stabilization of repetitive-task systems. However, choosing and fixing the gains of ILC schemes is not an easy task due to the fact that information propagation is present in two independent directions. In this paper, we propose new sufficient linear matrix inequality conditions for the design of iterative learning trackers for a special class of discrete-time nonlinear systems. The control designs have been testified by the application of different real-time experiments using dsPIC 33 micro-controller and software in the loop simulation. The application of the developed results to speed control of a DC motor subject to a nonlinear friction shows satisfactory tracking performance in real time.

UR - https://www.scopus.com/pages/publications/84914128773

U2 - 10.1109/INDIN.2014.6945535

DO - 10.1109/INDIN.2014.6945535

M3 - Conference contribution

AN - SCOPUS:84914128773

T3 - Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014

SP - 338

EP - 343

BT - Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Ibrir S, Ramlal C. Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation. In Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 338-343. 6945535. (Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014). doi: 10.1109/INDIN.2014.6945535

Iterative learning control schemes for a class of nonlinear systems: Theory and real-time implementation

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this