Distributed optimal control of lighting based on stochastic hill climbing method with variable neighborhood
Distributed optimal control of lighting based on stochastic hill climbing method with variable neighborhood
复制标题
基于变邻域随机爬山法的分布式照明优化控制
DOI：
10.1109/icsmc.2007.4413957
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
T. Hiroyasu
中科院分区：
文献类型：
--
作者：
M. Miki;Asuka Amamiya;T. Hiroyasu
在这项研究中，开发了一种基于新型自主分布式控制方法的智能照明系统，用于使用照度传感器控制照明。通过使用红外线通信，一个照度传感器向附近的多个照明装置发送亮度控制指令。采用随机爬山法，使亮度在固定范围内随机变化，以优化照度。使用预设为目标照度的照度传感器进行运行实验，结果表明，指定位置的亮度接近照度传感器设定的目标照度。照明系统消耗的电力也被最小化。此外，与智能照明系统的照明驱动自主分布式控制相比，获得了更好的结果，表明该方法是一种有效的新型分布式控制方法。
In this research, a smart lighting system based on a new autonomous distributed control method was developed to control lighting using illuminance sensors. By using infrared ray communication, one illuminance sensor sends a luminance control directive to several lighting fixtures located nearby. The luminance is made to change randomly within a fixed range to optimize the illuminance using the stochastic hill climbing method. The result of operational experiments using illuminance sensors that were preset to the target illuminance showed that the brightness at specified locations approached the target illuminance that the illuminance sensors were set to. The electrical power consumed by the lighting system was also minimized. Moreover, in comparison with lighting driven autonomous distributed controls of smart lighting systems, better results were obtained, indicating that the method is an effective new distributed control method.