Research of Metro Illumination Control Based on BP Neural Network PID Algorithm

被引：0
|
作者：
Shao, Yong [1 ]
Wang, Fengbo [1 ]
Zhang, Yuting [1 ]
Zan, Peng [1 ]
机构：
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE, NETWORKED SYSTEMS AND THEIR APPLICATIONS | 2014年 / 462卷
关键词：
PID Control; BP Neural Network; constant illumination; back-propagation-algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the metro constant illumination controller, which is designed to solve the current problem that the interior illumination in a moving metro fluctuates drastically with the changes of exterior environment. By detecting the real-time interior illumination values and adjusting the lights in a metro with PID controller based on BP neural network, the controller can keep the metro interior illumination values around the preset value. Simulations and actual test results show that the PID controller based on BP neural network has strong adaptability and robustness in a nonlinear system. It can both save energy and solve the problem of drastically fluctuating illumination in a moving metro, which cannot be achieved in conventional PID controllers.
引用
收藏
页码：1 / 8
页数：8
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