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Iterative Improvement of Path Accuracy of Industrial Robots Using External Measurements

  • This paper presents a cascaded methodology for enhancing the path accuracy of industrial robots by using advanced control schemes. It includes kinematic calibration as well as dynamic modeling and identification. This is followed by a centralized model-based compensation of robot dynamics. The implemented feed-forward torque control shows the expected improvements of control accuracy. However, external measurements show the influence of joint elasticities as systematic path errors. To further increase the accuracy an iterative learning controller (ILC) based on external camera measurements is designed. The implementation yields to significant improvements of path accuracy. By means of a kind of automated ”Teach-In”, an overall effective concept for the automated calibration and optimization of the accuracy of industrial robots in high-dynamic path-applications is realized.

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Author:Peter Stückelmaier, Martin GrotjahnORCiDGND, Carsten FrägerGND
URN:urn:nbn:de:bsz:960-opus4-21774
DOI:https://doi.org/10.25968/opus-2177
DOI original:https://doi.org/10.1109/AIM.2017.8014097
ISBN:978-1-5090-6000-9
ISSN:2159-6255
Parent Title (English):2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
Document Type:Conference Proceeding
Language:English
Year of Completion:2017
Publishing Institution:Hochschule Hannover
Release Date:2022/01/31
Tag:Dynamic identification; Dynamic modelling; Industrial robots; Kinematic calibration; Path accuracy
GND Keyword:Industrieroboter; Bahnplanung; Dynamische Modellierung
Page Number:6
Link to catalogue:1795490845
Institutes:Fakultät II - Maschinenbau und Bioverfahrenstechnik
DDC classes:620 Ingenieurwissenschaften und Maschinenbau
Licence (German):License LogoUrheberrechtlich geschützt