Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Model-Based Adaptive Collaboration of Multi-Terminal Internal Force Tracking

Version 1 : Received: 18 May 2023 / Approved: 19 May 2023 / Online: 19 May 2023 (05:48:25 CEST)

A peer-reviewed article of this Preprint also exists.

Wang, Z.; Dai, J.; Song, F. Model-Based Adaptive Collaboration of Multi-Terminal Internal Force Tracking. Appl. Sci. 2023, 13, 8672. Wang, Z.; Dai, J.; Song, F. Model-Based Adaptive Collaboration of Multi-Terminal Internal Force Tracking. Appl. Sci. 2023, 13, 8672.

Abstract

This paper proposes a multi-terminal adaptive collaborative operation method to solve the problem of unstable internal force tracking in clamping and handling unknown objects by multi-terminal robots. In the proposed method, the internal command force changes the complex internal force control problem into an internal force tracking problem from multi-slave to master. Moreover, we develop an algorithm for multi-slave setups to estimate object stiffness and motion uncertainty in the direction of the internal command force according to Lyapunov theory. Finally, the impedance control generates a reference trajectory for the multi-slave to maintain the desired internal force and track the master’s motion. Several experiments are conducted on a self-made robot equipped. The experimental results show that the oscillation amplitude of each slave end is less than 1 mm, the directional oscillation amplitude is less than 1 degree during the tracking of the desired commanded internal force. For objects with low stiffness, the error of the commanded internal force is less than 1 N (6%) per slave. The error in tracking the commanded internal force for objects with high stiffness is less than 2 N (8%). The results prove the feasibility and effectiveness of the proposed method.

Keywords

multi-terminal; force tracking; Adaptive

Subject

Engineering, Control and Systems Engineering

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