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High-accuracy robotized industrial assembly task control schema with force overshoots avoidance.

Authors :
Roveda, Loris
Pedrocchi, Nicola
Beschi, Manuel
Molinati Tosatti, Lorenzo
Source :
Control Engineering Practice. Feb2018, Vol. 71, p142-153. 12p.
Publication Year :
2018

Abstract

The presented paper proposes an analytical force overshoots free control architecture for standard industrial manipulators involved in high-accuracy industrial assembly tasks ( i.e. , with tight mounting tolerances). As in many industrial scenarios, the robot manipulates components through (compliant) external grippers and interacts with partially unknown compliant environments. In such a context, a force overshoot may result in task failures ( e.g. , gripper losses the component, component damages), representing a critical control issue. To face such problem, the proposed control architecture makes use of the force measurements as a feedback (obtained using a force/torque sensor at the robot end-effector) and of the estimation of the equivalent interacting elastic system stiffness ( i.e. , force sensor– compliant gripper–compliant environment equivalent stiffness) defining two control levels: (i) an internal impedance controller with inner position and orientation loop and (ii) an external impedance shaping force tracking controller. A theoretical analysis of the method has been performed. Then, the method has been experimentally validated in an industrial-like assembly task with tight mounting tolerances ( i.e. , H7/h6 mounting). A standard industrial robot (a Universal Robot UR 10 manipulator) has been used as a test-platform, equipped with an external force/torque sensor Robotiq FT 300 at the robot end-effector and with a Robotiq Adaptive Gripper C-Model to manipulate target components. ROS framework has been adopted to implement the proposed control architecture. Experimental results show the avoidance of force overshoots and the achieved target dynamic performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09670661
Volume :
71
Database :
Academic Search Index
Journal :
Control Engineering Practice
Publication Type :
Academic Journal
Accession number :
127031988
Full Text :
https://doi.org/10.1016/j.conengprac.2017.10.015