| Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01162 | |
| Number of page(s) | 15 | |
| DOI | https://doi.org/10.1051/e3sconf/202343001162 | |
| Published online | 06 October 2023 | |
Speed regulation of PV fed 8/6 switched reluctance motor using optimized controller
1 Associate Professor, Computer Science and Engineering Department, KG Reddy College of Engineering & Technology, Hyderabad
2 Assistant Professor, Electrical & Electronics Engineering Department, Vidya Jyothi Institute of Technology, Hyderabad
3 Assistant Professor, Electrical & Electronics Engineering Department, TKR College of Engineering and Technology, Hyderabad
4 Assistant Professor, Department of Electrical and Electronics Engineering, GRIET, Bachupally, Hyderabad, Telangana
5 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007
* Penta Samyuktha: samyuktha.penta@gmail.com
Due to their low manufacturing costs and straightforward design, Switched Reluctance Motors (SRMs) and drives have recently seen an increase in demand. In addition to the SRM’s double salient structure, the enhanced nonlinearity in the magnetization properties and torque output makes mathematical modeling of the SRM challenging. Therefore, new methods must be developed to increase steady state performance while also achieving greater speed control and precise dynamic reaction. This work presents an innovative, optimized controller for controlling the speed of PV-fed 8/6 SRM. The DC-DC Interleaved KY converter boosts the PV system’s output, and the DC-link voltage is controlled by a PI controller. To transfer the enhanced DC to 8/6 SRM, a BR ((n+1) Diode and (n+1) Semiconductor) converter is employed. The speed of SRM is additionally managed using a Grey Wolf Optimized (GWO) PI controller. Using a multiport battery converter, the surplus power generated by the PV system is then stored in a battery. MATLAB/Simulink is used to complete the suggested tasks, and a prototype is run through simulation to measure performance.
© The Authors, published by EDP Sciences, 2023
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.
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