Abstract

In this paper, the efficiency of the photovoltaic panels is improved by adding two solar tracking systems. The solar tracking system is used to track the sun so that the photovoltaic always faces the sun. This system uses a dual axis consisting of a horizontal rotation axis and a vertical rotation axis. The motion of the horizontal axis of rotation follows the sun's azimuth angle from north to south. Then to follow the sun's azimuth angle from east to west is the vertical axis motion. Both types of movements are controlled using PID and Fuzzy controllers, which are optimized with an artificial intelligence approach, namely Ant Colony Optimization (ACO). Experiments with PID control, Fuzzy control, and ANFIS control approaches optimized by the ACO method (ANFIS-ACO Hybrid method). The experimental results show that ANFIS-ACO has the best performance in terms of settling time and overshoot.

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