Composite Output Feedback Control of Underactuated Overhead Crane Subject to Constraints and Parameter Uncertainties

This paper proposes a nonlinear feedback control for overhead cranes that offer satisfactory performance by taking advantages of only a composite output. Particularly, the construction of a barrier function keeps the composite output between predefined boundary values, which can enhance the safety of the system. Nonetheless, the controller with simple structure ensures the stabilization of the payload despite the presence of parametric uncertainties. To substantiate the stability proof, two analytical methodologies are employed: the Lyapunov technique and LaSalle’s invariance principle. The simulation evidences efficient positioning and oscillation elimination of the controller for various uncertain parameters, large initial errors and external disturbances, without tuning the gains of each term.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10906027
Citations
1
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
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Composite Output Feedback Control of Underactuated Overhead Crane Subject to Constraints and Parameter Uncertainties

Xiongxiong He, Xinggao Liu, Xiaoxiao Mi, Michael Basin et al.
1 citations
Hydraulic and Pneumatic Systems
0.21
article

Composite Output Feedback Control of Underactuated Overhead Crane Subject to Constraints and Parameter Uncertainties

Xiongxiong He, Xinggao Liu, Xiaoxiao Mi, Michael Basin, Shengzeng Zhang, Haiyue Zhu
article en
1 citations

Abstract

This paper proposes a nonlinear feedback control for overhead cranes that offer satisfactory performance by taking advantages of only a composite output. Particularly, the construction of a barrier function keeps the composite output between predefined boundary values, which can enhance the safety of the system. Nonetheless, the controller with simple structure ensures the stabilization of the payload despite the presence of parametric uncertainties. To substantiate the stability proof, two analytical methodologies are employed: the Lyapunov technique and LaSalle’s invariance principle. The simulation evidences efficient positioning and oscillation elimination of the controller for various uncertain parameters, large initial errors and external disturbances, without tuning the gains of each term.

Agency for Science, Technology and Research (SG), Ningbo University of Technology (CN), Singapore Institute of Manufacturing Technology (SG), Zhejiang University of Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 48%
Hydraulic and Pneumatic Systems
0.21
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