Adaptive Fuzzy Finite-Time Singular Perturbation Control for Flexible Joint Manipulators With State Constraints

An adaptive fuzzy finite-time singular perturbation control is proposed for flexible joint manipulators with state constraints. First, the flexible joint manipulator system is decoupled into a rigid subsystem and a fast subsystem through singular perturbation technique. Second, a finite-time controller is introduced to improve the response speed of the rigid subsystem so that it can converge within a finite time. And then, all the rigid subsystem states are confined within the scope of the constraint by the barrier Lyapunov function. Third, the model’s uncertainties and unknown external disturbances are handled by adaptive fuzzy technique. Finally, the effectiveness of the new control scheme is illustrated by the simulation.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2024-09-16
DOI
https://doi.org/10.1109/tsmc.2024.3446172
Citations
9
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
2.95

Funders

Controls
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article

Adaptive Fuzzy Finite-Time Singular Perturbation Control for Flexible Joint Manipulators With State Constraints

Rui Qi, Jinpeng Yu, Hak‐Keung Lam, Jiapeng Liu
9 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Dynamics and Control of Mechanical Systems
2.95
article

Adaptive Fuzzy Finite-Time Singular Perturbation Control for Flexible Joint Manipulators With State Constraints

Rui Qi, Jinpeng Yu, Hak‐Keung Lam, Jiapeng Liu
article en
9 citations

Abstract

An adaptive fuzzy finite-time singular perturbation control is proposed for flexible joint manipulators with state constraints. First, the flexible joint manipulator system is decoupled into a rigid subsystem and a fast subsystem through singular perturbation technique. Second, a finite-time controller is introduced to improve the response speed of the rigid subsystem so that it can converge within a finite time. And then, all the rigid subsystem states are confined within the scope of the constraint by the barrier Lyapunov function. Third, the model’s uncertainties and unknown external disturbances are handled by adaptive fuzzy technique. Finally, the effectiveness of the new control scheme is illustrated by the simulation.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 54(12)
Qingdao University (CN), King's College School (GB)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 8%
Dynamics and Control of Mechanical Systems
2.95
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