Energy-saving control strategy for lighting system based on multivariate extremum seeking with Newton algorithm
Energy-saving control strategy for lighting system based on multivariate extremum seeking with Newton algorithm
复制标题
基于牛顿算法多元极值搜索的照明系统节能控制策略
DOI：
10.1016/j.enconman.2017.03.072
复制
发表时间：
2017
影响因子：
10.4
通讯作者：
Cheng Yuhua
中科院分区：
文献类型：
--
作者：
Yin Chun;Dadras Sara;Huang Xuegang;Mei Jun;Malek Hadi;Cheng Yuhua
近年来，能源问题一直是一个普遍关注的问题。为了提高照明能效，降低电能消耗，本文提出了一种多光源照明系统的节能控制策略。本文提出的控制策略包括两个部分：采用牛顿算法的多变量极值寻优控制方法，通过分别调节多个光源的亮度来最小化光能消耗；采用比例-积分-微分控制方法来实现期望的照明水平。该方案可以提高闭环系统向最小光能消耗的收敛速度，同时提高控制策略的精度。实验结果表明，通过该方法可以更快地达到最小能源点附近较小的光能消耗，从而大大提高了照明的能效。
In recent years, the energy problem has been a universal concern. In order to improve the lighting energy efficiency and reduce the electric energy consumption, this paper develops an energy-saving control strategy for the lighting system with multiple lighting sources. The control strategy presented in this paper includes two parts: a new multivariate extremum seeking control method with Newton algorithm is developed to minimize the light-energy consumption by separately manipulating the brightness of multiple lighting sources, and a proportion-integration-differentiation control approach is adopted to realize the desired lighting level. The proposed scheme can increase the convergence speed of the closed loop system toward the minimum light-energy consumption, meanwhile, the accuracy of the control strategy will be improved. Experimental results illustrate that the light-energy consumption via the proposed method can reach more rapidly to a smaller vicinity of the minimum energy point, so, the lighting energy efficiency is greatly increased accordingly.