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Transparency performance improvement for multi-master multi-slave teleoperation systems with external force estimation.

Authors :
Azimifar, Farhad
Ahmadkhosravi Rozi, Saman
Saleh, Ahmad
Afyouni, Iman
Source :
Transactions of the Institute of Measurement & Control. Sep2018, Vol. 40 Issue 13, p3851-3859. 9p.
Publication Year :
2018

Abstract

Cooperative teleoperation combines two traditional areas of robotics, that is, teleoperation and collaborative manipulation. Cooperative telerobotic systems consist of multiple pairs of master and slave robotic manipulators operating in a shared environment. The most common control frameworks for nonlinear systems, that is, Proportional Derivative (PD) controllers, possess considerable deficiency in contact motion. In this paper, a novel control scheme is proposed for a nonlinear bilateral cooperative teleoperation system with time delay. In addition to position and velocity signals, force signals are employed in the control strategy. This modification significantly enhances the poor transparency when the slave robots are in collision with the environment. To cope with external forces measurement, a modified force estimation algorithm is proposed to estimate human and environment forces. The closed loop stability of the nonlinear cooperative teleoperation system with the proposed control scheme is investigated using the Lyapunov theory. The main achievement of this research is the stability of the closed loop cooperative teleoperation system in the presence of estimated operator and environmental forces. In addition, it is theoretically and experimentally proved that force reflection occurs and transparency is improved at the same time. Experimental results demonstrate the efficiency of the presented control strategy in free motion as well as when the slave robots are in contact with the environment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01423312
Volume :
40
Issue :
13
Database :
Academic Search Index
Journal :
Transactions of the Institute of Measurement & Control
Publication Type :
Academic Journal
Accession number :
131498762
Full Text :
https://doi.org/10.1177/0142331217740178