The objective in this paper is to control a robot as it transitions from a non-contact to a contact state with an unactuated viscoelastic mass-spring system such that the mass-spring is regulated to a desired final position. A nonlinear Hunt-Crossley model, which is physically consistent with the real behavior of the system at contact, is used to represent the viscoelastic contact dynamics. A Neural Network feedforward term is used in the controller to estimate the environment uncertainties, which are not linear-in-parameters. The NN Lyapunov based controller is shown to guarantee uniformly ultimately bounded regulation of the system despite parametric and nonparametric uncertainties in the robot and the viscoelastic environment respectively. The proposed controller only depends on the position and velocity terms, and hence, obviates the need for measuring the impact force and acceleration. Further, the controller is continuous, and can be used for both non-contact and contact conditions.
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ASME 2008 Dynamic Systems and Control Conference
October 20–22, 2008
Ann Arbor, Michigan, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4335-2
PROCEEDINGS PAPER
Neural Network Control of a Robot Interacting With an Uncertain Hunt-Crossley Viscoelastic Environment
S. Bhasin,
S. Bhasin
University of Florida, Gainesville, FL
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K. Dupree,
K. Dupree
University of Florida, Gainesville, FL
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P. M. Patre,
P. M. Patre
University of Florida, Gainesville, FL
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W. E. Dixon
W. E. Dixon
University of Florida, Gainesville, FL
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S. Bhasin
University of Florida, Gainesville, FL
K. Dupree
University of Florida, Gainesville, FL
P. M. Patre
University of Florida, Gainesville, FL
W. E. Dixon
University of Florida, Gainesville, FL
Paper No:
DSCC2008-2222, pp. 875-882; 8 pages
Published Online:
June 29, 2009
Citation
Bhasin, S, Dupree, K, Patre, PM, & Dixon, WE. "Neural Network Control of a Robot Interacting With an Uncertain Hunt-Crossley Viscoelastic Environment." Proceedings of the ASME 2008 Dynamic Systems and Control Conference. ASME 2008 Dynamic Systems and Control Conference, Parts A and B. Ann Arbor, Michigan, USA. October 20–22, 2008. pp. 875-882. ASME. https://doi.org/10.1115/DSCC2008-2222
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