FUZZY BASED INTELLIGENT MPPT CONTROLLER FOR SOLAR BASED TRACTION APPLICATIONS

The need to employ non-conventional sources for generation of electric energy, such as solar photovoltaic (PV), has been emphasized as the demand for electricity has increased. Solar PV modules convert solar energy directly into electrical energy. With the increase in applications of electric tracti...

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Bibliographic Details
Published inJournal of electrical and electronics engineering Vol. 15; no. 2; pp. 21 - 28
Main Authors Asfia, Syed Nikhat, Sultana, Farheen, Vodapally, Sai Nikhil, Poreddy, Nagarjuna Reddy
Format Journal Article
LanguageEnglish
Published Oradea University of Oradea 01.10.2022
Editura Universităţii din Oradea
Subjects
Algorithms
Alternative energy sources
Atmospheric models
boost converter
Controllers
Efficiency
Energy consumption
Energy resources
Expenditures
Fuzzy control
Fuzzy logic
fuzzy logic controller
Incremental conductance
Integrated circuits
matlab simulink
Maximum power tracking
Motion control
Neural networks
photo voltaic (pv) array
Photovoltaic cells
Renewable resources
Solar energy
Solar energy conversion
Sun
Tracking control
Traction
Weather
United States > US
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Summary:The need to employ non-conventional sources for generation of electric energy, such as solar photovoltaic (PV), has been emphasized as the demand for electricity has increased. Solar PV modules convert solar energy directly into electrical energy. With the increase in applications of electric traction in modern day life, the energy consumption of traction can be reduced using PV systems by employing PV modules on the surface of the traction units. In the case of a PV module, for a given atmospheric condition, neglecting partial shading conditions, there is only one single point where maximum power can be extracted, known as the Maximum Power Point (MPP), which must be tracked. Many ways of achieving the maximum power that PV modules can produce under various weather conditions are available in the literature. The present work discusses an intelligent approach for maximum power point tracking based on a fuzzy logic (FL) controller. This has been compared with incremental conductance (IC) based MPP tracking controller. MATLAB Simulink models of both the controllers have been designed and the system performance has been analysed for different weather conditions and motor torque levels. The results show that FL based controller offers less settling time for output voltage and power when compared to IC based controller.
ISSN:1844-6035
2067-2128