Design of the intelligent control system traction drives
DOI:
https://doi.org/10.15587/1729-4061.2015.39415Keywords:
Electrical Complex, traction drive, method, neural network, Particle swarm optimizationAbstract
This paper studies for the creation of intellectual control system for electric traction. The analysis was further developed methodology development of intelligent control systems for electric vehicles by developing a neural network systems using swarm intelligence for optimum traction rolling electrical complex that lets you set partial traction by means of electric transmission with minimum mean square error values. The paper presents the intellectual electric traction control system based on the following sequence: synthesis control system to provide the necessary connection between the parameters of the dynamics and traction characteristics necessary traction motors using Particle swarm optimization, which makes it impossible to establish a clear connection between the parameters of traction dynamics and the desired characteristics of traction motors; development of appropriate neural network technology to ensure the functioning of the developed system.
References
- Florentsev, S. N., Izosimov, D. B. (2010). Tyagovyi elektroprivod v gibridnykh transportnykh sredstvakh. Part 3. Razrabotki KTEO dlya gibridnykh transportnykh sredstv v kontserne «RUSELPROM». Elektronnye komponenty, 1, 62–65.
- Florentsev, S. N. (2009). Traction Electric Equipment Set for AC Electric Transmission. Various Vehicles Proceedings of International Exhibition & Conference “Power Electronics, Intelligent Motion. Power Quality (PCIM-2009). Nurenberg. Germany, 625–627.
- Efremov, I. S. (1984). Teoriya i raschet tyagovogo privoda elektromobilei. Vyssh. shk., 383.
- Kulagin, D. O. (2014). Proektuvannia system keruvannia tiahovymy elektroperedachamy motorvahonnykh poizdiv. Berdiansk: FO-P Tkachuk O. V., 154.
- Kulagin, D. O. (2014). Matematychna model tiahovoho asynkhronnoho dvyhuna z urakhuvanniam nasychennia mahnitnykh kil. Naukovyi visnyk NGU, 6, 103–110.
- Kulagin, D. O. (2004). Matematychna model tiahovoho asynkhronnoho dvyhuna z urakhuvanniam nasychennia. Tekhnichna elektrodynamika, 6, 49–55.
- Safonov, A. I. (2012). Obosnovanie tyagovoi kharakteristiki, problema vybora elektrodvigatelya i vspomogatel'nykh istochnikov energii trolleibusam, Vestnik Belorussko-Rossiiskogo universiteta, 3, 72–81.
- Kennedy, J., Eberhart, R. (1995). Particle swarm optimization, Proceedings of IEEE International conference on Neural Networks, 1942–1948. doi: 10.1109/icnn.1995.488968
- Kartamyshev, D. A., Vlasov, K. A., Chastikova, V. A. (2014), Obnaruzhenie ddos-atak na osnove neironnykh setei s primeneniem metoda roya chastits v kachestve algoritma obucheniya, Fundamental'nye issledovaniya, 8-4, 829–832.
- Moody, J., Darken, C. J. (1989). Fast learning in networks of locally tuned processing units, Neural Computation, 1 (2), 281–294. doi: 10.1162/neco.1989.1.2.281
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Ігор Сергійович Роменський, Дмитро Олександрович Кулагін
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.