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Disturbance compensation based model‐free adaptive tracking control for nonlinear systems with unknown disturbance

Disturbance compensation based model‐free adaptive tracking control for nonlinear systems with... This paper considers a novel model‐free adaptive tracking control for nonlinear perturbed systems. A general dynamic linearization model with disturbance input is first developed for nonlinear systems based on the pseudo‐partial derivatives (PPDs) method and input/output (I/O) data. Due to the unknown disturbance input, an online disturbance estimation algorithm is proposed based on optimization by minimizing a cost function. Furthermore, an adaptive tracking control strategy with disturbance compensation is developed, such that the tracking error of nonlinear systems is convergent and closed‐loop systems are strongly robust. Finally, a comparing simulation is provided to demonstrate the effectiveness of the proposed approach. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal of Control Wiley

Disturbance compensation based model‐free adaptive tracking control for nonlinear systems with unknown disturbance

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References (37)

Publisher
Wiley
Copyright
© 2021 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd
ISSN
1561-8625
eISSN
1934-6093
DOI
10.1002/asjc.2230
Publisher site
See Article on Publisher Site

Abstract

This paper considers a novel model‐free adaptive tracking control for nonlinear perturbed systems. A general dynamic linearization model with disturbance input is first developed for nonlinear systems based on the pseudo‐partial derivatives (PPDs) method and input/output (I/O) data. Due to the unknown disturbance input, an online disturbance estimation algorithm is proposed based on optimization by minimizing a cost function. Furthermore, an adaptive tracking control strategy with disturbance compensation is developed, such that the tracking error of nonlinear systems is convergent and closed‐loop systems are strongly robust. Finally, a comparing simulation is provided to demonstrate the effectiveness of the proposed approach.

Journal

Asian Journal of ControlWiley

Published: Mar 1, 2021

Keywords: ; ; ;

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