Research on dimming optimization control method of emu led lighting system based on neural network

被引：0
作者：
Yang Dapeng [1 ]
Kong Jikang [1 ]
Liu Changying [1 ]
机构：
[1] Jilin Univ, Coll Instrument Sci & Elect Engn, Changchun 130000, Peoples R China
来源：
PROCEEDINGS OF 2019 14TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS (ICEMI) | 2019年
关键词：
LED; PWM; pulse current control; single neuron adaptive PID;
D O I：
10.1109/icemi46757.2019.9101498
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The development of rail vehicles has brought progress to the transportation industry. Vehicle lighting systems are an important part of rail vehicle technology. LED is a new type of lighting equipment. Compared with traditional fluorescent lamps, LED is energy-saving and environmentally friendly. However, the rail vehicle LED can not be effectively utilized. Therefore, in this article an adaptive pulse current control dimming means based on PWM pulse width modulation is puted fin-ward to control the LED. Firstly, the LED illumination model is derived, and then the incremental PID controller is established. The equation, combined with the neural network, forms a single neuron adaptive PID for pulsed flow control, and the experimental results are obtained.
引用
收藏
页码：1747 / 1753
页数：7
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