Machine Learning-Based Secured Intelligent DMA Controller for Video Restoration

Maximum power point tracking (MPPT) is an optimization algorithm for adjusting maximum power for DC/DC converters. SEPIC (single-ended primary-inductor converter) can allow the voltage to match the impedance between input and output. The perturbation and observation (P&O) method is a state-of-ar...

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Bibliographic Details
Published in:Wireless communications and mobile computing 2022-04, Vol.2022, p.1-12
Main Authors: Kotti, Jayasri, Rao, D. Nageswara, Ramana, T. V., Khan, Huma, Pallivalappil, Abdul Shareef, Kumar, Harish, Atiglah, Henry Kwame
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Controllers
Efficiency
Electric converters
Electric potential
Electricity
Electricity distribution
Energy storage
Heat
Internet of Things
Machine learning
Maximum power tracking
Optimization
Perturbation
Photovoltaic cells
Power efficiency
Power management
Radiation
Remote control
Remote monitoring
Remote sensors
Solar energy
Voltage
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Summary:Maximum power point tracking (MPPT) is an optimization algorithm for adjusting maximum power for DC/DC converters. SEPIC (single-ended primary-inductor converter) can allow the voltage to match the impedance between input and output. The perturbation and observation (P&O) method is a state-of-art tracking technique to maintain the voltage in photovoltaic (PV) systems. For this purpose, the adaptation of the P&O technique in economical digital devices can make sure of its efficiency and robustness. This paper was aimed at developing and designing an effective photovoltaic system based on the modified P&O algorithm with improved accuracy and power efficiency, thereby increasing the stability of a solar system. The performance of the proposed solar regulator system with two MPPT algorithms is verified using MATLAB simulator along with advanced modified P&O, and a hybrid excellence controller algorithm is also developed. The proposed system uses IoT-based sensors to transmit vital data to the cloud for remote monitoring and control purposes. The IoT platform helps the system to be viewed remotely.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/9155349