Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 9 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202561603010 | |
Published online | 24 February 2025 |
Comparative Analysis of Average Current Mode Control and Sliding Mode Control of Bidirectional CUK Converter for BESS
1,2 CVR College of Engineering, Department of EEE, Hyderabad, India
3 Vignana Bharathi Institute of Technology, Department of EEE, Hyderabad, India
* Corresponding author: vimala.cvreee@gmail.com
This paper presents a comparative study between Average Current Mode Control (ACMC) and Sliding Mode Control (SMC) in the context of a bidirectional Cuk converter powered by a solar PV input. Both control strategies are implemented to regulate the charging and discharging of a VRLA battery while ensuring stable current flow. ACMC is known for its simplicity and effectiveness in maintaining steady current, but it may struggle with system uncertainties and nonlinearities. In contrast, SMC offers robust control with finite-time convergence and insensitivity to nonlinearities, making it well-suited for managing the converter’s complex dynamics. However, SMC introduces the challenge of chattering, a high-frequency oscillation around the desired sliding surface, which can impact system performance. Through simulations and experimental validation, this study evaluates the performance of both control methods, highlighting the trade-offs between the simplicity and stability of ACMC and the robustness and complexity of SMC. The findings demonstrate the conditions under which each control strategy excels, providing insights into their respective advantages and limitations for bidirectional power converter applications.
© The Authors, published by EDP Sciences, 2025
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.