Position synchronization for an uncertain teleoperation system with time delays using L1 theory

Document Type : Article

Authors

1 School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, P.O. Box 1439957131, Iran

2 - School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, P.O. Box 1439957131, Iran - Department of Mechanical Engineering, Lassonde School of Engineering, York University, Toronto, Canada

3 Biomechatronics and Cognitive Engineering Research Lab, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, P.O. Box 16765163, Iran

Abstract

The problem of position tracking in teleoperation systems containing latencies and dynamical uncertainties is addressed in this work. In many applications, such as telesurgery, safe interaction with the external environment is a factor which may undermine the synchronization of the positions. For nondestructive contact with the environment, in addition to an errorless steady-state position tracking, the closed-loop system requires to have a response with the least possible overshoot. To this end, a state-feedback controller based upon L1 theory is proposed in this work. The compensator is synthesized utilizing the linear matrix inequality (LMI) technology, and the asymptotic stability of the system is verified employing Lyapunov-Krasovskii functional. Another advantage of the proposed control scheme is that it is robust to asymmetric randomly varying time delays in the communication channels. The L1-based controller is finally compared to the well-known sliding mode controller via simulation, and is proved to outperform it from maximum error point of view, while preserving low steady-state error. The proposed controller is also illustrated to be effective even in the presence of model uncertainties.

Keywords

References

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Scientia Iranica
Volume 30, Issue 1
Transactions on Mechanical Engineering (B)
January and February 2023
Pages 16-29

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History

  • Receive Date: 22 October 2021
  • Revise Date: 06 May 2022
  • Accept Date: 28 November 2022

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