Journal
FRONTIERS IN NEUROROBOTICS
Volume 16, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fnbot.2022.877069
Keywords
the teleoperation system; the terminal sliding mode control method; the neural network adaptive control method; the Lyapunov theory; tracking error
Funding
- Sichuan Science and Technology Program [2021YFQ0003]
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In this paper, a bilateral continuous finite time adaptive terminal sliding mode control method is designed to improve the practicality of the teleoperation system. Through numerical simulation, it is verified that this method can effectively control the convergence of position tracking error in finite time, and has better system performance and stability.
In order to make the teleoperation system more practical, it is necessary to effectively control the tracking error convergence time of the teleoperation system. By combining the terminal sliding mode control method with the neural network adaptive control method, a bilateral continuous finite time adaptive terminal sliding mode control method is designed for the combined teleoperation system. The Lyapunov theory is used to analyze the stability of the closed-loop system, and the position tracking error is able to effectively converge in time. Finally, the effectiveness of the proposed control scheme is verified by MATLAB Simulink numerical simulation, and the numerical analysis of the results shows that the method has better system performance. Compared with the traditional two-sided control method (TPDC) of PD time-delay teleoperation system, the control method in this paper has good performance, improves stability, and makes steady-state errors smaller and better tracking.
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