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Erschienen in: International Journal of Machine Learning and Cybernetics 6/2019

05.03.2018 | Original Article

Global sliding-mode dynamic surface control for MDF continuous hot-pressing slab thickness via LESO

verfasst von: Liangkuan Zhu, Zibo Wang, He Qiang, Yaqiu Liu

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 6/2019

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Abstract

In this paper, a robust slab thickness tracking control problem is investigated for medium density fiberboard continuous hot-pressing using an electro-hydraulic servo system in the presence of interior parameter perturbations and external load disturbances. By utilizing a linear extended state observer (LESO) and combining dynamic surface control method with a global sliding mode control (GSMC) technique, a robust controller is designed. Firstly, the LESO is constructed to estimate the total number of disturbances for system model compensation. Subsequently, a global sliding-mode dynamic surface controller is designed. Using first order low-pass filters to calculate the derivatives of synthetic control inputs, the controller form is simplified in the procedure. Introducing the GSMC into the third subsystem, the control precision and response speed are further improved. Moreover, an appropriate Lyapunov function is chosen to demonstrate that all signals from the closed-loop system are semi-globally uniformly ultimately bounded and the tracking error converges to zero asymptotically. Finally, numerical simulation results are used to authenticate and validate the benefits of the proposed control scheme.

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Metadaten
Titel
Global sliding-mode dynamic surface control for MDF continuous hot-pressing slab thickness via LESO
verfasst von
Liangkuan Zhu
Zibo Wang
He Qiang
Yaqiu Liu
Publikationsdatum
05.03.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 6/2019
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-018-0804-y

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