The main objective of this project is to develop and implement an enhanced Maximum Power Point Tracking (MPPT) using hybrid P&O-Fuzzy and Particle Swarm Optimization (PSO) technique in Solar PV related applications under partial shading conditions.
This project proposes, a new MPPT approach that combines Perturb & Observe (P&O) and Fuzzy Logic Controller (FLC) with the Particle Swarm Optimization (PSO) algorithm. The FLC algorithm is then used to maximize search accuracy. The configurations of this system and the study results demonstrate the dynamic and promising performance of the proposed method under various environmental and shading conditions. In addition to its simplicity and ease of implementation, the proposed algorithm exhibits high accuracy in tracking the maximum power point. This has been evidenced through MATLAB Simulink.
Keywords: Fuzzy logic control (FLC), maximum power point tracking (MPPT), photovoltaic systems (PV), dc–dc converter, perturb and observe (P&O), particle swarm optimization.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Software Configuration:
Operating System : Windows 7/8/10
Application Software: Matlab / Simulink
Hardware Configuration:
RAM : 8 GB
Processor : I3 / I5 (Mostly prefer).
· Introduction to Matlab/Simulink
· How to start with MATLAB
· About Matlab language
· About tools & libraries
· Application of Matlab/Simulink
· Basics on Matlab/Simulink
· We can learn about Photovoltaic Systems
· We can learn about MPPT Technique
· We can learn about Fuzzy Logic in Control System
· We can learn about Hybrid Algorithms
· We can learn about Perturb & Observe (P&O)
· We can learn DC-DC Converters
· Matlab/Simulink Simulation skills
· Project Development Skills:
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills