An Effective Neuro-adaptive Control Approach for Underwater Flexible Cranes With Uncertainties

Wang, Yue; Zheng, Zhengguo; Sun, Ning; Yang, Tong; Chen, He; Liu, Zhuoqing

doi:10.1109/iecon48115.2021.9589590

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2023

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“…By applying a changes of variables and a backstepping method, the closed‐loop system can be stabilized in a finite time. The authors in References 24–26 consider the underwater operation and broaden the application environment. In Reference 27, Wen et al design two boundary feedback controllers via the backstepping method and construct an observer to tackle the inaccessible states.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive vibration control of a gantry crane system with flexible cable

Huang,

Wu,

Lou

et al. 2023

Adaptive Control & Signal

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SummaryIn this paper, a robust adaptive vibration control method for gantry crane system is proposed considering unknown parameters brought by unknown payload, cable length and tension. The control objective is to transport the cargo to the desired position while suppressing the vibration of the cable in the presence of unknown parameters. For this purpose, a boundary controller is designed with an adaptive law to compensate the parameter uncertainty of the system. The well‐posedness of the closed‐loop system is proved by means of operator semigroup theory and the asymptotic stability of the closed‐loop system is analyzed. Finally, the effectiveness of the proposed control approach is demonstrated through both numerical simulation comparisons and physical experiments.

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Section: Introductionmentioning

confidence: 99%