Parallel continuum robots can provide compact, compliant manipulation of tools in robotic surgery and larger-scale human robot interaction. In this paper we address stiffness control of parallel continuum robots using a general nonlinear kinetostatic modeling framework based on Cosserat rods. We use a model formulation that estimates the applied end-effector force and pose using actuator force measurements. An integral control approach then modifies the commanded target position based on the desired stiffness behavior and the estimated force and position. We then use low-level position control of the actuators to achieve the modified target position. Experimental results show that after calibration of a single model parameter, the proposed approach achieves accurate stiffness control in various directions and poses.
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ASME 2018 Dynamic Systems and Control Conference
September 30–October 3, 2018
Atlanta, Georgia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5189-0
PROCEEDINGS PAPER
Stiffness Control of Parallel Continuum Robots
Vincent Aloi,
Vincent Aloi
University of Tennessee, Knoxville, TN
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Caroline Black,
Caroline Black
University of Alabama, Huntsville, AL
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Caleb Rucker
Caleb Rucker
University of Tennessee, Knoxville, TN
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Vincent Aloi
University of Tennessee, Knoxville, TN
Caroline Black
University of Alabama, Huntsville, AL
Caleb Rucker
University of Tennessee, Knoxville, TN
Paper No:
DSCC2018-9112, V001T04A012; 7 pages
Published Online:
November 12, 2018
Citation
Aloi, V, Black, C, & Rucker, C. "Stiffness Control of Parallel Continuum Robots." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mechatronics and Physical Human Robot Interaction; Biomedical and Neural Systems; Biomedical and Neural Systems Modeling, Diagnostics, and Healthcare. Atlanta, Georgia, USA. September 30–October 3, 2018. V001T04A012. ASME. https://doi.org/10.1115/DSCC2018-9112
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