Development of Fuzzy Logic Control for Indoor Lighting Using LEDs Group

Abstract

This paper presents the design and the development of an indoor lighting control b ased on fuzzy logic controller (FLC). The ob jective of this study is to demonstrate how the FLC can optimize the lighting b ased on indoor and outdoor lighting environments. The FLC system uses two inputs with Light Dependent Resistors (LDR) as a sensor at indoor and outdoor lighting environments. The output is Li ght Emitting Diodes (LEDs) to provide lighting at the room automatically. The Pulse Width Modulation (PWM) is used to adjust the LEDs lighting in the room. FLC has successfully demonstrated performance to control the output of LEDs as needed. If the LDR 1 input as indoor sensor shows dim, it will automatically turn on b rightly. The MSE values for simulation and experiment of LDR 1 and LDR 2 were 34.42 and 30.11 respectively. The results of FLC performance in the simulation work are further validated b y an experimental work. Experimental results show similarities compared to the simulation results.

MIMO Fuzzy Logic Controller for Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting System and Roller Blinds’ Opening to Control the Daylight

“…FLC has used in many indoor applications using different design philosophies. In [9], the paper provided Multi-Input-Single-Output (MISO) FLC for indoor LEDs lighting system using fuzzy control. This MISO controller used two But in [10], the paper used simple FLC that adjust the indoor light intensity based on the different between desired lux and state of the light intensity in the room.…”

Optimization of smart traffic lights to prevent traffic congestion using fuzzy logic

“…Fuzzy Logic has been widely used for making decision in many researches and projects. This method, for example, can be implemented for navigating the AR Drone Quadrotor [9], scheduling the accumulator charging [10], helping the ship maneuvering [11], and controlling indoor lighting [12]. As it can be implemented in many different areas, Fuzzy Logic is considered one of the promising options to control traffic in big cities.Smart traffic light control based on Fuzzy Logic is proposed in [13][14][15].…”