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Contact Force/Torque Prediction and Analysis Model for Large Length-diameter Ratio Peg-in-hole Assembly

Authors: Yuchen Wang; Peng Wang 0024; Changchun Liu; Gaoming Hao; Zhao Xiong; Xusong Quan; Xiaodong Yuan; +1 Authors

Contact Force/Torque Prediction and Analysis Model for Large Length-diameter Ratio Peg-in-hole Assembly

Abstract

Large length-diameter ratio peg-in-hole assembly is a hard and significant issue in modern industry. The prediction and control of the contact force/torque play a crucial part in flexible assembly. They ensure that the contact force/torque data are within limits in assembly process, which can prevent jam and protect devices. In this paper, we propose a novel contact force/torque prediction and analysis model to solve the large length-diameter ratio peg-in-hole assembly problem in which the contact states are difficult to be obtained. Firstly, we establish a new force/torque prediction model with measured data to obtain the precision actual contact force/torque which is critical for assembly control. Then, a new contact analysis model for large length-diameter ratio peg-in-hole assembly is built to estimate the assembly contact states. At last, based on the proposed contact force/torque prediction and analysis model, we design a robot pose adjustment strategy for large length-diameter ratio peg-in-hole assembly. Experiment results demonstrate that the proposed model can meet the demands of large length-diameter ratio peg-in-hole assembly. The predicted error rates of force/torque are lower than 1 % and the mean force/torque in assembly process are lower than 5 N / 0.5 N.m by our model.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
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