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  Published Paper Details:

  Paper Title

Voltage Enhancement Through DC-DC Boost Converter Using Various Controllers

  Authors

  P. Dharani,  K. Padma,  K. Manohar,  M. Ravindra Babu

  Keywords

PID controller, Sliding Mode Controller, Artificial Neural Network, Fuzzy Logic Controller, DC-DC Boost Converter.

  Abstract


The main goal of this research is to investigate voltage boosting using an efficient DC-DC boost converter and different advanced controllers. The study focuses on optimizing the DC-DC boost converter's key parameters to raise solar panel output voltage to a desired level. Various controllers, including Proportional-Integral-Derivative (PID), Sliding Mode, Artificial Neural Network (ANN), and fuzzy logic controllers, are employed. These controllers are rigorously evaluated through simulations in MATLAB/SIMULINK under both static and dynamic load conditions. The research examines controller responses across different load settings to reveal their strengths and weaknesses. This investigation contributes valuable knowledge about these controllers' effectiveness and adaptability for voltage boosting. The research outcomes could significantly enhance renewable energy systems, advancing efficient and sustainable power generation techniques.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2309018

  Paper ID - 243596

  Page Number(s) - a156-a169

  Pubished in - Volume 11 | Issue 9 | September 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  P. Dharani,  K. Padma,  K. Manohar,  M. Ravindra Babu,   "Voltage Enhancement Through DC-DC Boost Converter Using Various Controllers", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 9, pp.a156-a169, September 2023, Available at :http://www.ijcrt.org/papers/IJCRT2309018.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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