Modeling and control of color tunab

Modeling and control of color tunable lighting systems

Electric lighting has not substantially changed in over 100 years. From incandescent bulbs to fluorescent
tubes, the efficiency remains low and control mostly involves on/off or dimming. The new wave of solid
state lighting offers the possibility of sensor-based intensity regulation, color control, and energy effi-
ciency, under varying needs and environmental conditions. This paper formulates the lighting control
problem as an optimization problem balancing color fidelity, human perception and comfort, light field
uniformity, and energy efficiency. The optimization problem is solved based on the light propagation
model, which is adaptively updated with color sensor feedback to account for changing ambient lighting
conditions, such as daylighting. We demonstrate the proposed approach in a smart space testbed under
a variety of use conditions. The testbed is instrumented with 12 color tunable lights and 12 light sensors,
as well as simulated daylight. The results show substantial improvement in terms of energy usage and
delivering good light field quality in the presence of varying lighting conditions. Experimental results
corroborate the efficacy of the proposed algorithms.