On the reduction of vibration of parallel robots using flatness-based control and adaptive inputshaping

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Julian Oltjen
  • Jens Kotlarski
  • Tobias Ortmaier

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Details

OriginalspracheEnglisch
Titel des Sammelwerks2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten695-702
Seitenumfang8
ISBN (elektronisch)9781509020652
PublikationsstatusVeröffentlicht - 26 Sept. 2016
Veranstaltung2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Kanada
Dauer: 12 Juli 201615 Juli 2016

Publikationsreihe

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Band2016-September

Abstract

This paper presents new comparative results from two advanced feedforward control methods for rapid movements of parallel robots with minimum vibration, in terms of their practical application. First, a flatness-based approach is described, to generate system-specific motion profiles and computed torque for nonlinear, mechanically coupled multi-body systems. Hereby, vibration related system properties as joint elasticity and friction, as well as the complete dynamics model, including centripetal and Coriolis effects, are considered. Besides the model-based trajectory control, an adaptive method for the application of established inputshaping techniques to nonlinear robot systems is proposed. A model of the system's vibration behavior is generated during operation, based on frequency and damping characteristics, derived from internal drive train sensors. The methods are studied by simulations and experiments, exemplary on a planar 3RRR manipulator. The approaches are compared to each other as well as to conventional computed torque, in terms of theoretical performance and path tracing error. Additionally, the robustness w. r. t. the quality of model parameters is studied. Finally, experimental results are presented to verify the theoretical results.

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On the reduction of vibration of parallel robots using flatness-based control and adaptive inputshaping. / Oltjen, Julian; Kotlarski, Jens; Ortmaier, Tobias.
2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. S. 695-702 7576849 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Band 2016-September).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Oltjen, J, Kotlarski, J & Ortmaier, T 2016, On the reduction of vibration of parallel robots using flatness-based control and adaptive inputshaping. in 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016., 7576849, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Bd. 2016-September, Institute of Electrical and Electronics Engineers Inc., S. 695-702, 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016, Banff, Kanada, 12 Juli 2016. https://doi.org/10.1109/aim.2016.7576849
Oltjen, J., Kotlarski, J., & Ortmaier, T. (2016). On the reduction of vibration of parallel robots using flatness-based control and adaptive inputshaping. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 (S. 695-702). Artikel 7576849 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Band 2016-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/aim.2016.7576849
Oltjen J, Kotlarski J, Ortmaier T. On the reduction of vibration of parallel robots using flatness-based control and adaptive inputshaping. in 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. S. 695-702. 7576849. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). doi: 10.1109/aim.2016.7576849
Oltjen, Julian ; Kotlarski, Jens ; Ortmaier, Tobias. / On the reduction of vibration of parallel robots using flatness-based control and adaptive inputshaping. 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. S. 695-702 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM).
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abstract = "This paper presents new comparative results from two advanced feedforward control methods for rapid movements of parallel robots with minimum vibration, in terms of their practical application. First, a flatness-based approach is described, to generate system-specific motion profiles and computed torque for nonlinear, mechanically coupled multi-body systems. Hereby, vibration related system properties as joint elasticity and friction, as well as the complete dynamics model, including centripetal and Coriolis effects, are considered. Besides the model-based trajectory control, an adaptive method for the application of established inputshaping techniques to nonlinear robot systems is proposed. A model of the system's vibration behavior is generated during operation, based on frequency and damping characteristics, derived from internal drive train sensors. The methods are studied by simulations and experiments, exemplary on a planar 3RRR manipulator. The approaches are compared to each other as well as to conventional computed torque, in terms of theoretical performance and path tracing error. Additionally, the robustness w. r. t. the quality of model parameters is studied. Finally, experimental results are presented to verify the theoretical results.",
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AB - This paper presents new comparative results from two advanced feedforward control methods for rapid movements of parallel robots with minimum vibration, in terms of their practical application. First, a flatness-based approach is described, to generate system-specific motion profiles and computed torque for nonlinear, mechanically coupled multi-body systems. Hereby, vibration related system properties as joint elasticity and friction, as well as the complete dynamics model, including centripetal and Coriolis effects, are considered. Besides the model-based trajectory control, an adaptive method for the application of established inputshaping techniques to nonlinear robot systems is proposed. A model of the system's vibration behavior is generated during operation, based on frequency and damping characteristics, derived from internal drive train sensors. The methods are studied by simulations and experiments, exemplary on a planar 3RRR manipulator. The approaches are compared to each other as well as to conventional computed torque, in terms of theoretical performance and path tracing error. Additionally, the robustness w. r. t. the quality of model parameters is studied. Finally, experimental results are presented to verify the theoretical results.

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