Control of Time Delay Force Feedback Teleoperation System With Finite Time Convergence

Jingwen Wang; Jiawei Tian; Xia Zhang; Bo Yang; Shan Liu; Lirong Yin; Wenfeng Zheng

doi:10.3389/fnbot.2022.877069

Control of Time Delay Force Feedback Teleoperation System With Finite Time Convergence

Front Neurorobot. 2022 May 6:16:877069. doi: 10.3389/fnbot.2022.877069. eCollection 2022.

Authors

Jingwen Wang¹, Jiawei Tian¹, Xia Zhang¹, Bo Yang¹, Shan Liu¹, Lirong Yin², Wenfeng Zheng¹

Affiliations

¹ School of Automation, University of Electronic Science and Technology of China, Chengdu, China.
² Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, United States.

Abstract

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.

Keywords: the Lyapunov theory; the neural network adaptive control method; the teleoperation system; the terminal sliding mode control method; tracking error.