Zomaya, A.Y. and Morris, A.S. (1989) Fast Forward Dynamics Algorithm for Robot Arms Using Multi-Processing. Research Report. Acse Report 367 . Dept of Automatic Control and System Engineering. University of Sheffield
Abstract
The computation of the direct dynamics problem (forward dynamics) plays a major role in the real-time computer modelling and simulation of robot manipulators. The efficient and computationally inexpensive solution of this problem facilitates the design of real-time robot simulators. In addition, it allows for a better understanding of the key elements affecting robot operations. This work proposes to solve this problem by employing parallel and distributed processing techniques. First, a parallel implementation of a simplified Lagrange-Euler formulation is used to solve for the dynamics. Second, a resulting system of linear equations is solved using Gaussian-Elimination with simple row interchange. Both algorithms are distributed over a multiple-instruction, multiple-data stream (MIMD)computer architecture.
Metadata
Item Type: | Monograph |
---|---|
Authors/Creators: |
|
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: |
|
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 11:54 |
Last Modified: | 24 Oct 2016 18:02 |
Status: | Published |
Publisher: | Dept of Automatic Control and System Engineering. University of Sheffield |
Series Name: | Acse Report 367 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78200 |