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Robust iterative learning control via adaptive backstepping for oscillation displacement system of continuous casting mold driven by a servo motor

Robust iterative learning control via adaptive backstepping for oscillation displacement system... In order to solve the tracking problem of oscillation displacement system of continuous casting mold driven by a servo motor in the present of the time‐varying load, parameter uncertainties, unknown dynamics and external disturbances, a robust iterative learning control (ILC) via adaptive backstepping is proposed in this paper. Firstly, backstepping technique is used to design controller due to the mismatched disturbances. Secondly, the periodic component of the lumped disturbances is estimated by ILC method, while the aperiodic component is attenuated by switching term with adaptive gain. In addition, a time‐varying boundary layer approach is employed to overcome the identical initial condition limitation of the ILC. Through a proper composite energy function, the convergence of the closed‐loop system is analyzed. Finally, simulation and experimental results are given to illustrate the effectiveness of the proposed method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal of Control Wiley

Robust iterative learning control via adaptive backstepping for oscillation displacement system of continuous casting mold driven by a servo motor

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References (26)

Publisher
Wiley
Copyright
© 2023 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd
ISSN
1561-8625
eISSN
1934-6093
DOI
10.1002/asjc.3151
Publisher site
See Article on Publisher Site

Abstract

In order to solve the tracking problem of oscillation displacement system of continuous casting mold driven by a servo motor in the present of the time‐varying load, parameter uncertainties, unknown dynamics and external disturbances, a robust iterative learning control (ILC) via adaptive backstepping is proposed in this paper. Firstly, backstepping technique is used to design controller due to the mismatched disturbances. Secondly, the periodic component of the lumped disturbances is estimated by ILC method, while the aperiodic component is attenuated by switching term with adaptive gain. In addition, a time‐varying boundary layer approach is employed to overcome the identical initial condition limitation of the ILC. Through a proper composite energy function, the convergence of the closed‐loop system is analyzed. Finally, simulation and experimental results are given to illustrate the effectiveness of the proposed method.

Journal

Asian Journal of ControlWiley

Published: Nov 1, 2023

Keywords: adaptive gain; backstepping; continuous casting mold; iterative learning control

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