Adaptive PD sliding mode control for robot dynamics using predefined-time approach Adaptive PD sliding mode control for robot dynamics
This study investigates adaptive predefined-time proportional–derivative terminal sliding mode control (APtPDSMC) for robotic manipulators subject to uncertainties and external disturbances. We propose a novel predefined-time PDSMC (PtPDSMC) scheme utilizing proportional–derivative control to achiev...
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Published in | International journal of dynamics and control Vol. 13; no. 3 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.03.2025
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Subjects | |
Online Access | Get full text |
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Summary: | This study investigates adaptive predefined-time proportional–derivative terminal sliding mode control (APtPDSMC) for robotic manipulators subject to uncertainties and external disturbances. We propose a novel predefined-time PDSMC (PtPDSMC) scheme utilizing proportional–derivative control to achieve guaranteed predefined-time convergence and superior tracking performance. Additionally, this approach reduces control input chattering, a common problem. Then, APtPDSMC is designed to not require previous knowledge of the boundaries of the uncertain system dynamics it estimates. By using the Lyapunov theorem, the predefined-time stability of the closed-loop system is established. Finally, the efficacy of the suggested APtPDSMC technique is confirmed by computer simulations applied to a robotic manipulator system. |
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ISSN: | 2195-268X 2195-2698 |
DOI: | 10.1007/s40435-025-01603-y |