Design of intelligent controller to minimize the power consumption in smart city based on FPGA

Abstract

Today, Light Emitting Diode (LED) has been considered as one of the primary sources in lighting a road due to its efficiency, low power consumption, long life and environment-friendly as compared with the other sources. In this paper, a proposed system was designed to manage the power saving of road lighting through controlling the intensity of light on the poles at the road as well as the nearby roads. The proposed system consists of three primary controllers each one of them controls a specific task, LDR sensor, and IR sensors. The first controller was used to monitor the movement of cars at the same road to determine the necessary power that needs for lighting this road while the other controller provide excellent property in controlling the intensity of light on each pole at the road which made the system distinctive from the other conventional systems that used the traditional way in controlling LEDs, turn on and turn off, depending on movement of the cars at the same road. Furthermore, the proposed system has a novelty that takes into consideration the action of cars at the nearby road through using a third controller which monitors the movement of the cars on these nearby roads to determine the necessary intensity of light on each pole at these nearby roads. These intelligent controllers trained by using supervised feed-forward neural networks algorithms in MATLAB. The results of the proposed system show a power saving more than 80% when there are no cars in the road.