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Non-singular fixed-time sliding mode control for unknown-dynamics manipulators interacting with environment

Kong, Haiyi; Li, Guang; Yang, Chenguang

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Authors

Haiyi Kong

Guang Li



Abstract

In this paper, a robust fixed-time controller is de-signed for manipulators with unknown dynamics while interacting with environment. To realize compliance of the manipulator to the environment, an admittance model is adopted in the system. In the controller design, a non-singular sliding mode torque is introduced to achieve fixed-time convergence of the system state, so that the system has better tracking performance and faster response to external interaction than that using the traditional terminal sliding mode method. As for the unknown dynamics of the manipulator, radial basis function neural networks are developed to approximate the parameters in the dynamics. At last, simulation studies are conducted to verify the effectiveness of the proposed method.

Presentation Conference Type Conference Paper (published)
Conference Name 2022 27th International Conference on Automation and Computing: Smart Systems and Manufacturing, ICAC 2022
Start Date Sep 1, 2022
End Date Sep 3, 2022
Acceptance Date Aug 1, 2022
Publication Date Oct 10, 2022
Deposit Date Oct 25, 2022
Publicly Available Date Oct 11, 2024
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Book Title 2022 27th International Conference on Automation and Computing (ICAC)
ISBN 978-1-6654-9808-1
DOI https://doi.org/10.1109/ICAC55051.2022.9911101
Public URL https://uwe-repository.worktribe.com/output/10104144
Publisher URL https://ieeexplore.ieee.org/document/9911101
Related Public URLs http://www.cacsuk.co.uk/index.php/icac2022

https://ieeexplore.ieee.org/xpl/conhome/9911058/proceeding

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Copyright Statement
This is the author’s accepted manuscript. The final published version is available here: https://ieeexplore.ieee.org/document/9911101

DOI: 10.1109/ICAC55051.2022.9911101

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