This paper presents the design and execution of an active two axes solar tracker with fuzzy controller based on PSO. The proposed system uses the light sensors to detect the position of the sun. The output of the sensors are used as the control inputs in moving the PV panel according to the sun’s position. Two PSO based fuzzy controllers were designed and implemented to the solar tracker in which PSO was used to tune the parameters of fuzzy logic controller to obtain better performance. The conventional fuzzy controllers were also applied to the system to measure the improvement that might be achieved by the proposed method. Before the system is implemented into the real plant, it must be first modeled using MATLAB/ simulink for simulation purpose. Therefore, the performance of the controllers and power gain of PV panel are then observed, investigated and analized in this work. The results show that there are some agreements of both experiment and simulation.

Original languageEnglish
Pages (from-to)640-652
Number of pages13
JournalInternational Review on Modelling and Simulations
Issue number6
Publication statusPublished - Dec 2015


  • Fuzzy logic controller (FLC)
  • MATLAB/Simulink
  • PV panel
  • Particle swarm optimization (PSO)
  • Solar tracking system


Dive into the research topics of 'Design and implementation of active two axes solar tracking system using particle swarm optimization based fuzzy logic controller'. Together they form a unique fingerprint.

Cite this