DESIGN OF AN INTELLIGENT AND EFFICIENT LIGHT CONTROL SYSTEMEditor IJCATR
Recently, many researches has been carried out to save the energy in many aspects such
as producing a device which consumes very less energy or designing a system which helps to
reduce the power consumption using the existing devices. In this paper, a room light control system
is proposed which is named as light control system (LCS). This proposed system will able to
provide the needed light which provides the satisfaction of users and will provide energy saving
and management.
In this paper the Lighting Control System and the decision making algorithm, are
discussed. As per the algorithm the system will first check any occupant is there in the room. If so
then the system will check the intensity of light in the room and if it is low then it will switch on the
light.
Our proposed system can able to minimize the energy consumed for lighting in a room
and can able to provide it efficiently.
Development of Fuzzy Logic Control for Indoor Lighting Using LEDs GroupTELKOMNIKA JOURNAL
This paper presents the design and the development of an indoor lighting control based on fuzzy
logic controller (FLC). The objective of this study is to demonstrate how the FLC can optimize the lighting
based 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 Light 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 brightly.
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 by an experimental work.
Experimental results show similarities compared to the simulation results.
FAGERHULT E-SENSE
Added intelligence
Fagerhult e-Sense – lighting control made simple
Some forms of technology have been steeped in mystery to the extent that they negate the purpose for which they were designed.
Light control is such an example. A technology that was born from our need of ergonomic and energy-saving lighting. Obvious, yet too diffi cult to understand. Both to those planning, the person installing, and to the person who has to use it.
At last the technology has fi nally matured and Fagerhult can now introduce a unique concept. e-Sense – added intelligence. All you need to do is to connect the luminaire and press a button.
Our aim has been to eliminate all the hidden costs of installation, operation and maintenance. To avoid switches and complicated settings. You install a normal luminaire, but get a complete control system.
DESIGN OF AN INTELLIGENT AND EFFICIENT LIGHT CONTROL SYSTEMEditor IJCATR
Recently, many researches has been carried out to save the energy in many aspects such
as producing a device which consumes very less energy or designing a system which helps to
reduce the power consumption using the existing devices. In this paper, a room light control system
is proposed which is named as light control system (LCS). This proposed system will able to
provide the needed light which provides the satisfaction of users and will provide energy saving
and management.
In this paper the Lighting Control System and the decision making algorithm, are
discussed. As per the algorithm the system will first check any occupant is there in the room. If so
then the system will check the intensity of light in the room and if it is low then it will switch on the
light.
Our proposed system can able to minimize the energy consumed for lighting in a room
and can able to provide it efficiently.
Development of Fuzzy Logic Control for Indoor Lighting Using LEDs GroupTELKOMNIKA JOURNAL
This paper presents the design and the development of an indoor lighting control based on fuzzy
logic controller (FLC). The objective of this study is to demonstrate how the FLC can optimize the lighting
based 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 Light 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 brightly.
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 by an experimental work.
Experimental results show similarities compared to the simulation results.
FAGERHULT E-SENSE
Added intelligence
Fagerhult e-Sense – lighting control made simple
Some forms of technology have been steeped in mystery to the extent that they negate the purpose for which they were designed.
Light control is such an example. A technology that was born from our need of ergonomic and energy-saving lighting. Obvious, yet too diffi cult to understand. Both to those planning, the person installing, and to the person who has to use it.
At last the technology has fi nally matured and Fagerhult can now introduce a unique concept. e-Sense – added intelligence. All you need to do is to connect the luminaire and press a button.
Our aim has been to eliminate all the hidden costs of installation, operation and maintenance. To avoid switches and complicated settings. You install a normal luminaire, but get a complete control system.
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Similar to Automated light controller using fuzzy logic (20)
1. AUTOMATED LIGHT CONTROLLER USING FUZZY
LOGIC
ABSTRACT
This study describes the implementation of fuzzy logic in designing fuzzy automated light
controller. The fuzzy controller controls the number of lamps lighted up based on the number
of people inside the room. Its main objective is to demonstrate how fuzzy logic can minimize
the number of lamps used and therefore reduce the electricity consumption.
In this study, fuzzy logic controller has been implemented and tested to predict the behavior
of the controller under different light conditions by monitoring the membership function
parameters. In a conventional light controller, the lamps change according to user’s
specification. The light will remain on if the user forgets to switch off the light. Even if an
automated light controller exist, at most the system can only be controlled as on and off
without being able to adapt with dynamic inputs. Fuzzy logic offers a better method than
conventional control methods, especially in the case of counting the number of people and
how much the light intensity is needed. In this study, fuzzy logic has the ability to make
decision as to how much the light intensity is needed by controlling the number of lamps in
the room according to the number of people who have entered or left the room.
On the other hand, the conventional light controller does not have the ability to solve this
kind of issues. It would be more practical to let more lamps "on" if the light intensity needed
is very bright. A conventional method controller for this decision is difficult to find while
fuzzy logic controller simplifies the task. This study has achieved its objective, which is to
design a fuzzy logic system integrated with hardware circuit of automated light controller
using fuzzy logic to control light intensity in a room. In this study, tests cases have illustrated
that fuzzy logic control method could be a suitable alternative method to conventional control
methods that could save electricity consumption and offers ease of use to human being.