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A Singular Perturbation Approach to Control of Lightweight Flexible Manipulators

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Siciliano, Bruno, Book, Wayne J.·1988·The International Journal of Robotics Research

Abstract

The control of lightweight flexible manipulators is the focus of this work. Theflexible manipulator dynamics is derived on the basis of a Lagrangian-assumed modes method. The full-order flexible dynamic system does not allow the deter mination of a nonlinear feedback control as for rigid manipu lators, since there are not as many control inputs as output variables. This drawback is overcome by a model order reduction, based on a singular perturbation strategy, where the fast state variables are the elastic forces and their time derivatives. A composite control is adopted. First, a slow control is designed for the slow subsystem, which is shown to be the model of the equivalent rigid-link manipulator. Then a fast control is designed to stabilize the fast subsystem around the equilibrium trajectory set up by the slow subsystem under the effect of the slow control. The one-link flexible-arm prototype in the Flexible Auto mation Laboratory at Georgia Institute of Technology is chosen for developing a case study. Simulation results are illustrated, and a comparison is made between the perform ance achieved with a two-time-scale controller and with a state feedback regulator.

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Metadata

Authors
Siciliano, B., & Book, W. J.
Venue
The International Journal of Robotics Research
Published
1988-08
Volume
7
Issue
4
Pages
79-90
ISSN
  • 0278-3649 (ISSN-L)
  • 1741-3176
OpenAlex
W2150549237
Cited by
546
References
0
FWCI
26.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Singular Perturbation Approach to Control of Lightweight Flexible Manipulators. https://app.cochat.ai/papers/10.1177/027836498800700404
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Siciliano, B., & Book, W. J. (1988). A Singular Perturbation Approach to Control of Lightweight Flexible Manipulators. The International Journal of Robotics Research. https://doi.org/10.1177/027836498800700404

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.