Abstract
AbstractIn this paper a cost and time efficient approach to setup a compliance model for industrial robots is presented. The compliance model is distinctly determined by the gear’s stiffness parameters which are tuned by an optimal design of experiments approach. The experimental setup consists of different poses of the robot’s axes together with the applied force at the tool center point (TCP). These robot poses represent together with defined forces the experimental setup where the deviation of the robot under defined force is measured. Based on measurements of the displacement of the TCP the stiffness parameters for the compliance model are estimated and afterwards validated in new experiments. The efficiency of this approach lies in the reduced amount of experiments that are needed to identify the stiffness parameters that are parameters inherent to the compliance and the less complex experimental setup.
Funder
Technische Universität Darmstadt
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference27 articles.
1. Hähn F (2020) Modellierung und kompensation der bahnabdrängung bei der spanenden bearbeitung mit industrierobotern. Dissertation, Shaker Verlag, Düren
2. Wang J, Zhang H, Fuhlbrigge T (2009) Improving machining accuracy with robot deformation compensation. In: 2009 IEEE/RSJ international conference on intelligent robots and systems. 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). St. Louis, MO, USA, 10.10.2009 - 15.10.2009: IEEE, pp 3826–3831. https://doi.org/10.1109/IROS.2009.5353988
3. Schneider UJ (2017) Untersuchung von modellbasierter fehlerkompensation und erweiterter positionsregelung zur genauigkeitssteigerung von roboterbasierten zerspanungsprozessen. Dissertation, Universitätsbibliothek der Universität Stuttgart and Fraunhofer IPA and Fraunhofer IRB-Verlag, Stuttgart
4. Cordes M, Hintze W (2017) Offline simulation of path deviation due to joint compliance and hysteresis for robot machining. Int J Adv Manuf Technol 90(1–4):1075–1083. https://doi.org/10.1007/s00170-016-9461-z
5. Xie H, Li W, Yin Z (2018) Posture Optimization Based on Both Joint Parameter Error and Stiffness for Robotic Milling. In: Zhiyong Chen, Alexandre Mendes, Yamin Yan und Shifeng Chen (Hg.): Intelligent Robotics and Applications, Bd. 10984. Cham: Springer International Publishing (Lecture Notes in Computer Science), S. 277–286. https://doi.org/10.1007/978-3-319-97586-3_25
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