| Issue |
MATEC Web Conf.
Volume 224, 2018
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018)
|
|
|---|---|---|
| Article Number | 01045 | |
| Number of page(s) | 6 | |
| Section | Manufacturing Technologies, Tools and Equipment | |
| DOI | https://doi.org/10.1051/matecconf/201822401045 | |
| Published online | 30 October 2018 | |
Prevention unstable conditions in the welding process via robotic technological complexes
Institute of Precision Mechanics and Control, Russian Academy of Sciences, 24, Rabochaya str., Saratov, 410028, Russia
* Corresponding author: dm_fominyh@mail.ru
The article presents the statement of the problem, models and algorithms for controlling the welding process via robotic technological complexes in conditions of the risk of unstable states. The system dynamics model was used to describe the technological process. As system levels the basic indicators influencing quality of the made production chosen on the basis of experience of operation of the robotic technological complexes are taken. Functional dependences between indicators and their dependences on external factors are determined by approximation of statistical data. The procedure of identification of unstable states for the mathematical model on the example of the Rossler’s attractor is developed. An algorithm for preventing the system from falling into unstable states in the process control is proposed
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.