Analysis of Compressor Control Structures and Algorithms for Compressor Drives for Automobile Gas Filling Compressor Stations

被引：0

作者：

Evstifeev, Andrew A. ^{[1
,2
]}

Zaeva, Margarita A. ^{[1
]}

机构：

[1] Natl Res Nucl Univ MEPhI Moscow Engn Phys Inst, Kashirskoe Shosse 31, Moscow 115409, Russia

[2] LLC Gazprom VNIIGAZ, 5537 Proyektiruyemyy Proyezd,15-1, Village Razvilka 142717, Moscow Region, Russia

来源：

POSTPROCEEDINGS OF THE 9TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA 2018) | 2018年 / 145卷

关键词：

control algorithm; automobile gas filling compressor station; compressor;

D O I：

10.1016/j.procs.2018.11.067

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Prototypes of structures and control algorithms for compressor drives for automobile gas filling compressor stations are considered. The stations have switching facilities with semiconductor switches on fully managed switches. Examples of realization and technical solutions for controlling compressor drives of different designs, performance and power are given. (C) 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures.

引用

页码：652 / 655

页数：4

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