Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/102631
Title: Adjustable Electric Drive Based on Radiation-Resistant Induction Motors
Authors: Denisenko, V. I.
Ziuzev, A. M.
Kondakov, K. A.
Moiseychenkov, A. N.
Lytkin, V. V.
Dvoeglazov, K. N.
Lukonin, D. A.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Adjustable Electric Drive Based on Radiation-Resistant Induction Motors / V. I. Denisenko, A. M. Ziuzev, K. A. Kondakov, et al. — DOI 10.1088/1757-899X/950/1/012001 // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 950. — Iss. 1. — 012001.
Abstract: The object under consideration is an adjustable electric drive based on radiation-resistant DAR induction motors with a power of 0.75 kW and 2.2 kW, with a nominal stator field rotation speed of 1000 rpm and 1500 rpm and an environmental protection method IP 68, designed to use in the equipment for hydrometallurgical processing of spent nuclear fuel (SNF) of the processing module of the pilot demonstration energy complex (PM PDEC). Bench tests of DAR prototypes confirmed that the developed motors in accordance with electromagnetic parameters, energy and starting characteristics fully comply with serial asynchronous motors of similar power and speed and satisfy the requirements of the technical specifications. The control system with the Altivar ATV212/ATV320 frequency converter ensures stable operation of the DAR in the range of 1:50 speed control in the "sensorless"version, the functions and interface of the control system meet the specified requirements. Recommendations are given on expanding the tasks of automation of the technological process, which can be provided by means of the developed control system based on software implementation. An assessment of the thermal state during liquid cooling of engines during operation from the control system. © Published under licence by IOP Publishing Ltd.
URI: http://elar.urfu.ru/handle/10995/102631
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85096622675
PURE ID: 20228583
0c9ea3ed-c617-494d-8349-57a1c8718630
ISSN: 17578981
DOI: 10.1088/1757-899X/950/1/012001
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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