Dynamic modelling of a single-link flexible manipulator: Parametric and non-parametric approaches
Journal article
Shaheed, MH and Tokhi, MO (2002). Dynamic modelling of a single-link flexible manipulator: Parametric and non-parametric approaches. Robotica. 20 (1), pp. 93-109. https://doi.org/10.1017/s0263574701003678
Authors | Shaheed, MH and Tokhi, MO |
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Abstract | This paper presents an investigation into the development of parametric and non-parametric approaches for dynamic modelling of a flexible manipulator system. The least mean squares, recursive least squares and genetic algorithms are used to obtain linear parametric models of the system. Moreover, non-parametric models of the system are developed using a non-linear AutoRegressive process with eXogeneous input model structure with multi-layered perceptron and radial basis function neural networks. The system is in each case modelled from the input torque to hub-angle, hub-velocity and end-point acceleration outputs. The models are validated using several validation tests. Finally, a comparative assessment of the approaches used is presented and discussed in terms of accuracy, efficiency and estimation of the vibration modes of the system. |
Keywords | Backpropagation; dynamic modelling; flexible manipulator; genetic algorithm; LMS algorithm; multi-layered perceptron; NARX model; neural networks; radial basis function; RLS algorithm |
Year | 2002 |
Journal | Robotica |
Journal citation | 20 (1), pp. 93-109 |
Publisher | Cambridge University Press (CUP) |
ISSN | 0263-5747 |
Digital Object Identifier (DOI) | https://doi.org/10.1017/s0263574701003678 |
Publication dates | |
01 Jan 2002 | |
Online | 31 Jan 2002 |
Publication process dates | |
Accepted | 01 Dec 2001 |
Deposited | 30 Apr 2020 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/8995w
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Accepted author manuscript
Shaheed&Tokhi_Robotica_2002_20(1)_93-109.pdf | ||
License: CC BY-NC-ND 4.0 | ||
File access level: Open |
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