Transparency improvement by external force estimation in a time-delayed nonlinear bilateral teleoperation system

Teleoperation systems have been developed in order to manipulate objects in environments where the presence of humans is impossible, dangerous or less effective. One of the most attractive applications is micro telemanipulation with micropositioning actuators. Due to the sensitivity of this operatio...

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Bibliographic Details
Main Authors: Amini, H., Rezaei, S.M., Sarhan, A.A.D., Akbari, J., Mardi, N.A.
Format: Article
Published: Journal of Dynamic Systems Measurement and Control-Transactions of the Asme 2015
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Online Access:http://eprints.um.edu.my/13759/
http://dynamicsystems.asmedigitalcollection.asme.org/article.aspx?articleid=1936140
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Summary:Teleoperation systems have been developed in order to manipulate objects in environments where the presence of humans is impossible, dangerous or less effective. One of the most attractive applications is micro telemanipulation with micropositioning actuators. Due to the sensitivity of this operation, task performance should be accurately considered. The presence of force signals in the control scheme could effectively improve transparency. However, the main restriction is force measurement in micromanipulation scales. A new modified strategy for estimating the external forces acting on the master and slave robots is the major contribution of this paper. The main advantage of this strategy is that the necessity for force sensors is eliminated, leading to lower cost and further applicability. A novel control algorithm with estimated force signals is proposed for a general nonlinear macro-micro bilateral teleoperation system with time delay. The stability condition in the macro-micro teleoperation system with the new control algorithm is verified by means of Lyapunov stability analysis. The designed control algorithm guarantees stability of the macro-micro teleoperation system in the presence of an estimated operator and environmental force. Experimental results confirm the efficiency of the novel control algorithm in position tracking and force reflection.