Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 02017 | |
Number of page(s) | 8 | |
Section | Electric Drives and Vehicles | |
DOI | https://doi.org/10.1051/e3sconf/202454002017 | |
Published online | 21 June 2024 |
Drive State Analysis Based Electric Drive Control Model for Improved Power Stabilization
Assistant Professor, Department of CS & IT, Kalinga University, Naya Raipur, Chhattisgarh, India .
* ku.devraspandey@kalingauniversity.ac.in
** ku.sushreesasmitadash@kalingauniversity.ac.in
The problem of power stabilization in electric drives has been well studied. There exist numbers of approaches around the problem which consider the input power alone and suffer to achieve higher performance in power stabilization. To handle this issue, an efficient Drive State Analysis based Electric Drive Control model (DSA-EDCM) is presented in this article. The model monitors the drive state of electric drive at each duty cycle. According to the drive state and its previous conditions like voltage consumption, voltage leak, rpm and torque required, the method performs drive state analysis. The drive state analysis algorithm computes the power required at different conditions by computing Power Support value (PSV). Based on the PSV value, the method selects specific drive according to the input voltage received. Selected drive has been triggered for the cycle to maintain power stability. The proposed model improves the performance of power stability and maximizes the utilization performance.
Key words: Drive Control / Electric Drive / Drive State Analysis / DSAEDCM / PSV
© The Authors, published by EDP Sciences, 2024
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.