Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board
Abstract & Details
Research Area
Electrical Engineering
Keywords
Photovoltaic system
DC-DC power converters
Voltage Controller
PID controller
PI Fuzzy logic Controller
Raspberry Pi 4 Board.
Abstract
A voltage guideline framework for photovoltaic energy sources (PV) is proposed in this research, which uses a Single-Ended Primary Inductance Converter as a DC-DC converter to handle the burdens of dealing with explicit information voltage. The use of MATLAB Simulink as a climate to nurture control order computations as standard PID, PI-Fuzzy rationale regulators is offered for an ongoing reproduction of a regulated voltage framework for solar powered energy sources (PV). Following that, to accept the work, a few consistent re-enactments are treated using control techniques on a low-cost control board: the Raspberry Pi 4 to handle the framework activity as well as acquire the reproduction data. Similarly, and for testing purposes, a few reproductions were treated to check the proper operation of the proposed framework and Raspberry Pi 4 board, which is faster, capable of converting 4K video, and benefits from faster capacity via USB 3.0 and faster network connections via obvious Gigabit Ethernet, opening the door to a wide range of new jobs.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Miss. Shivani Shashikant Maske | Nanasaheb Mahadik College of Engineering,Peth |
| 2 | Miss. Prajakta Mohan Kolavankar | Nanasaheb Mahadik College of Engineering,Peth |
| 3 | Miss. Suman Chandrakant Mane | Nanasaheb Mahadik College of Engineering,Peth |
| 4 | Mrs. Anjum A. Attar | Nanasaheb Mahadik College of Engineering,Peth |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Maske, Miss. Shivani Shashikant, Kolavankar, Miss. Prajakta Mohan, Mane, Miss. Suman Chandrakant, & Attar, Mrs. Anjum A. (2022). Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board. International Journal of Advance Research and Innovative Ideas In Education, 8(1), 1072-1075.
MLA Style
Maske, Miss. Shivani Shashikant, et al. "Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 1, 2022, pp. 1072-1075.
IEEE Style
Miss. Shivani Shashikant Maske, Miss. Prajakta Mohan Kolavankar, Miss. Suman Chandrakant Mane, and Mrs. Anjum A. Attar, "Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 1, pp. 1072-1075, 2022.
Vancouver Style
Maske Miss. Shivani Shashikant, Kolavankar Miss. Prajakta Mohan, Mane Miss. Suman Chandrakant, Attar Mrs. Anjum A.. Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(1):1072-1075.
Harvard Style
Maske, Miss. Shivani Shashikant, Kolavankar, Miss. Prajakta Mohan, Mane, Miss. Suman Chandrakant, & Attar, Mrs. Anjum A. (2022) 'Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board', International Journal of Advance Research and Innovative Ideas In Education, 8(1), pp. 1072-1075.
Chicago Style
Maske, Miss. Shivani Shashikant, et al. "Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board." International Journal of Advance Research and Innovative Ideas In Education 8, no. 1 (2022): 1072-1075.
Turabian Style
Maske, Miss. Shivani Shashikant, et al. "Intelligent Control for Voltage Regulation System via DC-DC Converter using Raspberry Pi 4 Board." International Journal of Advance Research and Innovative Ideas In Education 8, no. 1 (2022): 1072-1075.
Related Research
ROBUST BALANCE CONTROL OF TWO-WHEELED BICYCLES A COMPARATIVE STUDY OF H∞ LOOP SHAPING AND PID APPROACHES
PDF Unavailable
USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS
PDF Unavailable
APPLICATION OF VARIATIONAL QUANTUM CLASSIFIER IN FAULT CLASSIFICATION ON THREE-PHASE POWER TRANSMISSION LINE
PDF Unavailable
Review of Recent Advances in Solar Energy Technology
PDF Unavailable
Analytical Sizing and Layout of a High-Gain CMOS Comparator for Mixed-Signal Applications
PDF Unavailable
Daul power generation by using solar and windmill generator
PDF Unavailable