Model-Based On-line Estimation of Time-Varying Nonlinear Joint Stiffness on an e-Series Universal Robots Manipulator

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  • Emil Madsen, Universal Robots A/S
  • ,
  • Oluf Skov Rosenlund, Universal Robots A/S
  • ,
  • David Brandt, Universal Robots A/S, Danmark
  • Xuping Zhang

Flexibility commonly exists in the joints of many industrial robots due to the elasticity of the lightweight strain-wave type transmissions being used. This leads to a dynamic time-varying displacement between the position of the drive actuator and that of the driven link. Furthermore, the joint flexibility changes with time due to the material slowly being worn off at the gear meshing. Knowing the stiffness of the robot joints is of great value, e.g. in the design of new model-based feedforward and feedback controllers, and for predictive maintenance in the case of gearing unit failure. In this paper, we address on-line estimation of robot joint stiffness using a recursive least squares strategy based on a parametric model taking into account the elastic torques' nonlinear dependency on transmission deformation. Robustness is achieved in the presence of measurement noise and in poor excitation conditions. The method can be easily extended to general classes of serial-link multi-degree-of-freedom robots. The estimation technique uses only feedback signals that are readily available on Universal Robots' e-Series manipulators. Experiments on the new UR5e manipulator demonstrate the effectiveness of the proposed method.

OriginalsprogEngelsk
Titel2019 International Conference on Robotics and Automation (ICRA)
Antal sider7
ForlagIEEE
Udgivelsesårmaj 2019
Sider8408-8414
Artikelnummer8793935
ISBN (Elektronisk)9781538660263
DOI
StatusUdgivet - maj 2019
Begivenhed2019 International Conference on Robotics and Automation - The Palais des congrès de Montréal, Montreal, Canada
Varighed: 20 maj 201924 maj 2019
https://www.icra2019.org/

Konference

Konference2019 International Conference on Robotics and Automation
LokationThe Palais des congrès de Montréal
LandCanada
ByMontreal
Periode20/05/201924/05/2019
Internetadresse

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