Zomaya, A.Y. and Morris, A.S. (1989) Identification of Robot Dynamics: A Parallel Processing Approach. Research Report. Acse Report 361 . Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
Knowledge of the exact characteristics of robot manipulators is one of the most significant factors in designing motion control systems, since the control performance is directly dependant upon the accuracy of the dynamic model. Dynamic models normally have complicated behaviour, including varying inertia depending upon the arm configuration, uncertain load effects, non-linear effects such as the Coriolis and Centripetal forces and interactions among joints. Unless these characteristics are included in the manipulator dynamics exactly, the performance of the controller is not expected to meet the given requirements. This necessitates the development of an efficient method to identify the dynamic parameters of robot arms. This paper will describe the on-line estimation of the link inertial parameters using a semi-customised symbolic representation of the dynamic equations based on the Lagrangian formulation........
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 20 Mar 2014 12:16 |
Last Modified: | 01 Nov 2016 21:28 |
Status: | Published |
Publisher: | Dept of Automatic Control and System Engineering. University of Sheffield |
Series Name: | Acse Report 361 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78201 |