Fuzzy Logic Control of DC-DC Buck Converter in DC Distribution System with Constant Power Load
- DOI
- 10.2991/978-94-6463-074-9_16How to use a DOI?
- Keywords
- Fuzzy Logic Controller (FLC); Constant Power Load (CPL); Microgrid; Buck Converter
- Abstract
Fuzzy Logic Control as an alternative approach for the control of Buck Converter with Constant Power Load for DC Microgrid application is proposed. Electric power system connected with point-of-load converter behave as Constant Power Load (CPL). The system will consist of two buck converters connected in cascade. CPL will have inherent negative resistance characteristics and injects a destabilizing nonlinear effect to main distribution bus. The system under consideration is very sensitive to parameter variations due to the negative resistance characteristics of CPL. Hence it is very important to design robust nonlinear controllers to ensure stability of closed loop system. Fuzzy Logic Controller (FLC), an inherently nonlinear controller shows robust behaviour for supply voltage and parameter variations for dc-to-dc converter (single stage). In this paper, a FLC is designed to ensure stabilization of buck power converter with CPL (two stages). The robust behaviour of FLC is verified by performing various simulations in MATLAB SIMULINK.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ummaleti SaiSangeeth AU - N. K. Arun PY - 2022 DA - 2022/12/05 TI - Fuzzy Logic Control of DC-DC Buck Converter in DC Distribution System with Constant Power Load BT - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022) PB - Atlantis Press SP - 180 EP - 191 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-074-9_16 DO - 10.2991/978-94-6463-074-9_16 ID - SaiSangeeth2022 ER -