| Issue |
E3S Web Conf.
Volume 178, 2020
High Speed Turbomachines and Electrical Drives Conference 2020 (HSTED-2020)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 3 | |
| DOI | https://doi.org/10.1051/e3sconf/202017801025 | |
| Published online | 09 July 2020 | |
Provision of High-efficient Milling Methods Using a PMSM Electric Drive with a Controlled Information-Measuring System
1
Institute of Mechanical Engineering, Lipetsk State Technical University, Lipetsk, Russia
2
Electric Drive Department, Lipetsk State Technical University, Lipetsk, Russia
3
Department of Power supply of industrial enterprises, Kazan State Power Engineering University, Kazan, Russia
* Corresponding author: mesherek@yandex.ru
The article presents new highly effective methods of milling shaped surfaces, which are implemented on four-and five-coordinate CNC machines. For their implementation, three simultaneously coordinated movements of the machine’s organs are used. To implement the proposed milling methods on CNC machines, an electric drive is proposed, built on the basis of a Permanent Magnet Synchronous Motor (PMSM) with a vector control system with a proportional P-speed controller. For this purpose, an ecstatic control information and measurement system with zero static error is proposed. Comparative results of mathematical modeling of transient processes in electric drives with the standard and proposed control systems are presented.
© The Authors, published by EDP Sciences, 2020
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.