Testing and Analysis of Two Axis Tracking Mechanism for Parabolic Dish Collector using Artificial Neural Network

Abstract

High concentration parabolic dish is common in the applications of collecting solar energy. For maximizing the collector efficiency; collector is required to face towards the sun all the time which is called as “tracking”. High degree of sun-tracking accuracy is required to ensure that the solar collector is capable of harnessing the maximum solar energy throughout the day. In order to maintain high output power and stability of the solar power system, a high-precision sun-tracking system is necessary to follow the sun’s trajectory from morning to evening. In the morning once dish is set to appropriate position. Speed reduction gear train  is used to control the speed and movement of system and proper tracking is achieved throughout the day.