Massachusetts Institute of Technology

Matthew Aldrich

Joseph A Paradiso

Nan Zhao

Mark Feldmeier

In exemplary embodiments of this invention, one or more I/O devices accept input from a human user. The input is indicative of a value for each control variable in a set of separate control variables. A computer analyzes the input and outputs control signals to specify a set of separate setpoints. Dimmers adjust the intensity or color of a set of luminaires according to the setpoints. The number of separate control variables is much less than the number of separate setpoints. Having a human control a small number of control variables, in order to control a much larger number of separate luminaire setpoints of luminaires, has at least two advantages: control is faster and control is more intuitive. In illustrative implementations, the luminaire setpoints that are being controlled are not functions of each other.

Methods and apparatus for illumination control

In illustrative implementations of this invention, a lighting system comprises a plurality of LEDs, fluorescent lights, incandescent lights, a processor, a sensor node and a human-computer interface. The sensor is adapted to be moved by a user and placed in the location that a user wants to illumine. The LED lights are adapted to emit pulse-width modulated (PWM) light, controlled by signals from the processor. The lighting system is adapted to optimize parameters (such as efficacy or color rendering index) selected by the user, subject to certain constraints (such as desired illuminance or color temperature). According to principles of this invention, if a sensor is moved, attenuation may be measured and the inverse square law may be used to determine how constraints in an optimization algorithm need to be updated.

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Boca Raton, FL, United States of America

Matthew Aldrich