Autonomous Distributed Optimization Algorithm for Intelligent Lighting System

Abstract

In recent years, various types of equipment have become more intelligent. In this research, we propose an intelligent lighting system for providing required illuminance to specified locations, and develop autonomous distributed optimization algorithm which enables advanced lighting control. This system consists of multiple intelligent lighting fixtures, multiple movable illumination sensors and a power meter connected to a network. There is no central unit, therefore, the system has high robustness against the malfunction. We propose a new algorithm which provides rapid convergence to the target illumination by using a correlation of the illuminance and the luminance. We constructed with a dimmer experimental system, that is comprised of 15 fluorescent lights, and several movable illuminance sensors. The verification tests were carried out in the different environments using the proposed control method. We confirmed that the algorithm can provide good performance to environmental change and it is effective to energy saving.