SENSORS based on Embedded System
SENSORLESS ILLUMINATION CONTROL OF A
NETWORKED LED-LIGHTING SYSTEM USING
FEEDFORWARD NEURAL NETWORK
ABSTRACT
Embedded system has hardware and software which forms a
component of some larger system and which is expected to function without
human intervention. A typical embedded system consists of a single-board
microcomputer with software in ROM, which starts running some special purpose
application program as soon as it is turned on and will not stop until it is turned off
(if ever).
An embedded system may include some kind of operating system but often
it will be simple enough to be written as a single program. It will not usually have
any of the normal peripherals such as a keyboard, monitor, serial connections,
mass storage, etc. or any kind of user interface software unless these are required
by the overall system of which it is a part. Often it must provide realtime response.
In order to resolve the problem of energy hunger nowadays, saving
lighting energy in buildings contributes an important part. In this paper, a
sensorless illumination control scheme for smart networked LED lighting has been
investigated. The scheme is based on a Feedforward neural network to model all
the nonlinear and linear relationships inside the lighting system as the controlled
plant. Because the scheme does not rely on lighting simulation software, it is
flexible to be implemented on microcontrollers.
SENSORS based on Embedded System
The scheme, moreover, can provide not only high accuracy in modeling but
also global optimum in energy saving. Without using light sensors in its control
loop, the approach can save significant cost and provide ease of installation as
well. In addition, it also has the strength of fast response owing to Feedforward
control based on neural networks. The experimental results show that the approach
can easily attain more than 95% modeling accuracy and also improve more than
28% energy saving with its optimal nonlinear multiple-input multiple-output
control.
PROPOSED SYSTEM
In this project, we are going to implement sensorless illumination
control of networked LED lighting system using Feedforward neural network.
With help of PC, we can control the LED lights Automatically and Manually. In
Auto mode, LDR will sense the intensity of light and according to that LED will
glow, same for another node. And all these process can be monitored in PC. In
manual mode, we can controlled the LED lights from PC. Auto and manual
process done from PC through ZIGBEE.
SENSORS based on Embedded System
BLOCK DIAGRAM:
Node 1:
ZIGBEE
UART
LDR 1
ADC
MICRO
CONTROLLER
RELAY
LED LIGHT
Node 2:
ZIGBEE
UART
LDR 2
ADC
MICRO
CONTROLLER
RELAY
LED LIGHT
SENSORS based on Embedded System
RECEIVING END:
ZIGBEE
HARDWARE REQUIREMENTS:
 MICROCONTROLLER
 LDR
 UART
 RELAY
 ZIGBEE
 PC
 LED LIGHT
SOFTWARE REQUIREMENTS:
 KEIL COMPILER
 PROTEUS SOFTWARE
UART
PC