This reserch proposes a method to provide an appropriate illuminance and color temperature in an office lighting environment for individual workers. For the control algorithm, based on the optimization method called Simulated Annealing (SA), a method including a neighborhood design mechanism for the design variables instead of a temperature parameter was used. In addition, for changes in the luminous intensity of high color temperature light and low color temperature light, five neighborhoods were adaptively used. Through the experiment using the daylight color fluorescent lamps and warm white color fluorescent lamps, the illuminance and color temperature converged into the target values. © 2010 Springer-Verlag.
CITATION STYLE
Tomishima, C., Miki, M., Ashibe, M., Hiroyasu, T., & Yoshimi, M. (2010). Distributed control of illuminance and color temperature in intelligent lighting system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6114 LNAI, pp. 411–419). https://doi.org/10.1007/978-3-642-13232-2_50
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