NASA Adaptive Intelligent Lighting System By Nathan Alcantara

NASA Adaptive Intelligent Lighting System By: Nathan Alcantara, Mathew Fendley, Jasen Slaman, Jack Ryan Zapata

Introduction � 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.

Constraints � Use commercial components � Unit uses AC power vs. using a battery � System programmed to change 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

Work Breakdown Structure

Hardware � Six 32 Watt LEDs wired in parallel � 12 V AC power supply � 4 DC/DC Converters � Aluminum heat sink � Customized board to help organize the wiring � Freescale Freedom Microprocessor � Sparkfun ISL 29125 RGB Sensor

Software � 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

Testing � Used spectrometer and lux meter to measure light intensity � Color temperature meter used for photography to capture and evaluate color temperature

Conclusion � 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)

NASA