Learning Robot Force/Position Control for Repetitive High Speed Applications with Unknown Non-Linear Contact Stiffness
This paper proposes a learning robot force/position control for high speed force trajectory following. Following high speed force trajectories in different repetitve robotic applications is a challenging field in robot force control. If the end–effector should provide a contact force while following...
Gespeichert in:
Veröffentlicht in: | Proceedings in applied mathematics and mechanics 2015-10, Vol.15 (1), p.65-66 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | This paper proposes a learning robot force/position control for high speed force trajectory following. Following high speed force trajectories in different repetitve robotic applications is a challenging field in robot force control. If the end–effector should provide a contact force while following a position trajectory in the non–force controlled direction a parallel force / position control is suitable. However, when it comes to high speed tasks this force control method reaches its limit. The problem can be solved by using an iterative learning control method in combination with the parallel force/position control. In this paper the learning force control method is introduced and experimental results are presented. (© 2015 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim) |
---|---|
ISSN: | 1617-7061 1617-7061 |
DOI: | 10.1002/pamm.201510023 |