by: nathan alcantara, mathew fendley, jasen slaman, jack ryan zapata
TRANSCRIPT
NASA Adaptive Intelligent Lighting System
By: Nathan Alcantara, Mathew Fendley, Jasen Slaman, Jack Ryan Zapata
The focus of this project is to design an adaptive intelligent lighting controller that monitors the output light of a LED light fixtures for degradation of light intensity (500 lux measured at 8 feet) and color intensity changes.
Changes in either the intensity or color spectrum are flagged. In addition, the system must maintain the crew’s circadian rhythm experienced on a regular day on earth healthy.
The intent is to develop a working concept.
Introduction
Use commercial components Unit uses AC power vs. using a battery System programmed to change the threshold
parameters of intensity and color spectrum (kept to red, green, and blue)
Can program for circadian rhythms. Communications between the sensor/lighting
system and the user interface can be wired or wireless.
Aesthetics and power consumption not a concern
Constraints
Work Breakdown Structure
Six 32 Watt LEDs wired in parallel
12V AC power supply 4 DC/DC Converters Aluminum heat sink Customized board to
help organize the wiring Freescale Freedom
Microprocessor Sparkfun ISL29125 RGB
Sensor
Hardware
Originally written for Arduino system on Galileo board
Complications, code rewritten on mbed platform for Freescale Freedom board
Utilizes PWM to independently change the duty cycle of each color of the LED arrays to simulate circadian rhythms
Demonstration will simulate full circadian rhythm in roughly 3 minutes
Software
Used spectrometer and lux meter to measure light intensity
Color temperature meter used for photography to capture and evaluate color temperature
Testing
The system accurately simulates a regular circadian rhythm on a typical clear earth day.
The system can provide 500 lux at eight feet with the capabilities of providing more
Light system can be modified to simulate other environments, for different applications
Complications with sensor (Original code for Arduino worked, difficulty implanting sensors with mbed libraries)
Conclusion
