Anti‐sloshing control: Flatness‐based trajectory planning and tracking control with an integrated extended state observer

Abstract The phenomenon of sloshing causes a significantly negative impact on a wide range of industries. A time‐optimal flatness‐based trajectory planning and Lyapunov‐based model predictive control (LMPC) is proposed for trajectory tracking of a transmitting cylindrical container filled with liquid. Firstly, this research presents an equivalent discrete model based on a mass‐spring‐damper system. Subsequently, after the flatness of the adopted non‐linear model for 2D is established, time‐optimal trajectories are introduced. A control method called LMPC is shown to solve the problem of orbital tracking, which allows setting limits for state variables. In addition, to ensure system performance, a linear extended state observer (LESO) is integrated to cope with system uncertainties. Finally, the efficiency of the proposed approach for liquid sloshing suppression and tracking is illustrated by simulations.

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Publication Details

Journal
IET Cyber-Systems and Robotics
Published
2024-08-25
DOI
https://doi.org/10.1049/csy2.12121
Citations
1
Primary Topic
Fluid Dynamics Simulations and Interactions
Type
article
Field-Weighted Citation Impact
0.37

Funders

Controls
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article

Anti‐sloshing control: Flatness‐based trajectory planning and tracking control with an integrated extended state observer

Minh Do Duc, Tùng Lâm Nguyễn, Khanh Nguyen Viet, Thanh Cao Duc
1 citations
IET Cyber-Systems and Robotics
Fluid Dynamics Simulations and Interactions
0.37
article

Anti‐sloshing control: Flatness‐based trajectory planning and tracking control with an integrated extended state observer

Minh Do Duc, Tùng Lâm Nguyễn, Khanh Nguyen Viet, Thanh Cao Duc
article en
1 citations

Abstract

Abstract The phenomenon of sloshing causes a significantly negative impact on a wide range of industries. A time‐optimal flatness‐based trajectory planning and Lyapunov‐based model predictive control (LMPC) is proposed for trajectory tracking of a transmitting cylindrical container filled with liquid. Firstly, this research presents an equivalent discrete model based on a mass‐spring‐damper system. Subsequently, after the flatness of the adopted non‐linear model for 2D is established, time‐optimal trajectories are introduced. A control method called LMPC is shown to solve the problem of orbital tracking, which allows setting limits for state variables. In addition, to ensure system performance, a linear extended state observer (LESO) is integrated to cope with system uncertainties. Finally, the efficiency of the proposed approach for liquid sloshing suppression and tracking is illustrated by simulations.

IET Cyber-Systems and RoboticsVol. 6(3)
Vietnam Maritime University (VN), Hanoi University of Science and Technology (VN)
Trường Đại học Bách Khoa Hà Nội
Sustainable cities and communities
Openalex Percentile: Top 44%
Fluid Dynamics Simulations and Interactions
0.37
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