This paper aims to address the collision problem between robot and the external environment (including human) in an unstructured situation. A new collision detection and torque optimization control method is proposed.
Firstly, when the collision appears, a second-order Taylor observer is proposed to estimate the residual value. Secondly, the band-pass filter is used to reduce the high-frequency torque modeling dynamic uncertainty. With the estimate information and the torque value, a variable impedance control approach is then synthesized to guarantee that the collision is avoided or the collision will be terminated with different contact models and positions. However, in terms of adaptive linear force error, the variation of the thickness of the boundary layer is controlled by the new proximity function.
Finally, the experimental results show the better performance of the proposed control method, realizing the force control during the collision process.
Origin approach and origin experiment.
This research was supported by National Key Research and Development Program of China (2018YFB1308301) and National Natural Science Foundation of China (No.61374133, No.61673205). Data are provided by Nanjing University of Science and Technology Robotics Institute.
Wang, P., Zhang, D. and Lu, B. (2020), "Collision detection and force control based on the impedance approach and dynamic modelling", Industrial Robot, Vol. 47 No. 6, pp. 813-824. https://doi.org/10.1108/IR-08-2019-0163
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