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Robust adaptive control scheme for optical tracking telescopes with unknown disturbances

journal contribution
posted on 06.12.2017, 00:00 by R Mei, M Chen, Wanwu Guo
In this paper, a robust adaptive control scheme is proposed for optical tracking telescopes with parametric uncertainty, unknown external disturbance and input saturation. To improve tracking performance of this robust adaptive control scheme, a nonlinear disturbance observer (NDO) is employed to tackle the integrated effect amalgamated from unknown parameters, unknown external disturbance and input saturation. At the same time, the radial basis function neural network (RBFNN) is introduced to approximate the input of an unknown function. Utilizing the estimated outputs of NDO and RBFNN, the robust adaptive control scheme is developed for optical tracking telescopes. Stability of the closed-loop system is rigourously proved via Lyapunov analysis and the convergent tracking error is guaranteed for optical tracking telescopes. Numerical simulation results are presented to illustrate the effectiveness of the proposed robust adaptive control scheme based on RBFNN and NDO for the uncertain dynamic of optical tracking telescopes.

History

Volume

126

Issue

11-12

Start Page

1185

End Page

1190

Number of Pages

6

eISSN

1618-1336

ISSN

0030-4026

Location

Germany

Publisher

Elsevier

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Nanjing Forest Police College; Nanjing hang kong hang tian da xue; Not affiliated to a Research Institute; School of Engineering and Technology (2013- );

Era Eligible

Yes

Journal

Optik.

Exports