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Design And Implement Driver System Of Urban Road LED Light With Intelligent Control

Posted on:2015-03-04Degree:MasterType:Thesis
Country:ChinaCandidate:J DengFull Text:PDF
GTID:2272330473458289Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The development of the city beautification drives the evolution and improvement of the city LED lighting technology. At the same time,dependings on the improvement of integrated circuit technology and promotion of chip processing capacity, development high-power integrated circuit technology, LED Street lamp driver also gradually tends to integration, miniaturization, and modularization.Papers focus on expressing and analying the evolution of the LED driver. The paper elaborated the structure and working principle, design method of hardware circuit of most LED street lamp intelligent control drive system, and analysis the fuzzy control algorithm. The paper design the city LED street lamp intelligent control drive system, though by combined with the advantage of software and hardware, and using microprocessor control, to achieve intelligence.The hardware circuit of the LED driver mainly includes the acoustic sensitivity, photosensitive sensor sampling circuit, microprocessor peripheral circuit, LED constant current drive circuit. the software design by combing with the design of the hardware. the paper adopts fuzzy control algorithm for the LED street lamp intelligent control, the fuzzy algorithm divided external voice and brightness into the corresponding five grades, and basis on this,designing the fuzzy control rules and fuzzy control programe.Paper used Simulink tool to complete the system modeling and debugging. Basis on the results of test, corresponding to 0.2 V, 1 V, 1.6 V light intensity fuzzy control rules of hierarchies, LED dirver output contant current,achieve the dimming function. On the intensity of the sound, also get constant current to driver chip, achieved the intelligent dimming effect.
Keywords/Search Tags:LED street light, intelligent control, fuzzy control, microprocessor
PDF Full Text Request
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