End-effector trajectory tracking of manipulators with passive joints is a challenging task since classical approaches known from fully actuated systems cannot be applied. The paper presents the inversion based control design for manipulators with passive joints, whereby the complexity of the inverse model highly depends on the stability properties of the internal dynamics. For the inverse model the control problem is included here by servo-constraints. For minimum phase systems the internal dynamics can be solved by forward time integration. For non-minimum phase systems a bounded solution is found by solving the internal dynamics as a boundary value problem. The example of a three-arm manipulator with one passive joint is used as application, whereby minimum phase and non-minimum phase designs are considered. The obtained inverse models are used in experiments to control the real system.
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ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
October 17–19, 2012
Fort Lauderdale, Florida, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4531-8
PROCEEDINGS PAPER
Inversion Based End-Effector Trajectory Tracking of Passive-Joint Manipulators
Robert Seifried,
Robert Seifried
University of Stuttgart, Stuttgart, Germany
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Markus Burkhardt,
Markus Burkhardt
University of Stuttgart, Stuttgart, Germany
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Makoto Iwamura
Makoto Iwamura
Fukuoka University, Fukuoka, Japan
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Robert Seifried
University of Stuttgart, Stuttgart, Germany
Markus Burkhardt
University of Stuttgart, Stuttgart, Germany
Makoto Iwamura
Fukuoka University, Fukuoka, Japan
Paper No:
DSCC2012-MOVIC2012-8634, pp. 81-90; 10 pages
Published Online:
September 17, 2013
Citation
Seifried, R, Burkhardt, M, & Iwamura, M. "Inversion Based End-Effector Trajectory Tracking of Passive-Joint Manipulators." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 81-90. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8634
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