Solar systems are considered one of the easiest and least expensive ways to implement, but their low efficiency and short life cycle are the major obstacles to their use, as they are completely linked to external climatic factors such as temperature and solar radiation.
To increase its efficiency, the researchers relied on tracking the maximum power point of the photovoltaic system using classic and modern control techniques it differs among themselves in terms of simplicity and complexity in implementation, so choosing an appropriate control technique is important to obtain the best results.
In this work, modified control Particle Swarm Optimization algorithm PSO for maximum power point tracking and comparative study with fuzzy logic.
Both technologies are classified under the category of intelligent control. To achieve the system, the MATLAB/SIMULINK simulation environment is used for both techniques and compared the results, according to these results and under similar standard test conditions, it is concluded that both methods are highly effective, but the PSO method provides a better response rate and tracking accuracy than fuzzy logic.