Issue |
E3S Web Conf.
Volume 244, 2021
XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|
|
---|---|---|
Article Number | 09007 | |
Number of page(s) | 9 | |
Section | Environmental and Climate Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202124409007 | |
Published online | 19 March 2021 |
Electromagnetic compatibility of multifunctional automation systems for electrical equipment using the example of electric drives
1 TSN-Electro LLC (Nizhny Novgorod)
2 Admiral Makarov State University of Maritime and Inland Shipping
3 FSFEI of HE “Admiral Makarov State University of Maritime and Inland Shipping” in Kotlas
4 Admiral Makarov State University of Maritime and Inland Shipping, 5/7, Dvinskaya str, Saint-Petersburg, Russia, 198035
* Corresponding author: butsanetsaa@gumrf.ru
The main factors of information compatibility of automatic control systems for energy-saving electric drives are proposed, built on the basis of multifunctional algorithms, when integrated into a single information space of an enterprise. The method for assessing compatibility allows one to purposefully vary the specific shares of data storage and processing processes in the software, as well as to solve the problems of computer modeling and the choice of identification and adaptation algorithms in the general cycle of work. The indicators of the systems operability are given – the coefficients of increasing the productivity of software modules, the essence of the subject area, the accuracy of assessing the input and output information, the probability of achieving the goal, the times of transient processes during information exchange, depending on information resistance, rigidity, memory volume and the level of information-driving logic. It is shown that this will allow avoiding the influence of reactive parameters of information circuits in control systems.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.