Zalzala, Ali. M.S. and Morris, A.S. (1989) A Distributed Pipelined Architecture of the Recursive Lagrangian Equations of Motion for Robot Manipulators with VLSI Implementation. Research Report. Acse Report 353 . Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
This paper is concerned with efficient and fast computations of robot arm joint torques and solved the inverse dynamics problem through the design of a distributed architecture for the recursive Lagrangian equations of motion. Such recursive Lagrangian-based equations are found to be more appropriate to implement than the equivalent Newtonian-based or classical Lagrangian-based equations whole trajectory planner or controller designs are involved. In addition, a symbolic representation for parts of the relevant equations are developed as a contribution to the reduction of complexity. As a result, the utilization of each element in the multiprocessor system is high...........
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: | 13 Mar 2014 10:32 |
Last Modified: | 25 Oct 2016 00:07 |
Status: | Published |
Publisher: | Dept of Automatic Control and System Engineering. University of Sheffield |
Series Name: | Acse Report 353 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78134 |