Nonlinear Dynamic Prediction Model of White LED Color Temperature

ZHOU Jin-rong; CHEN Huan-ting; ZHOU Xiao-fang

doi:10.3788/fgxb20163701.0106

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Nonlinear Dynamic Prediction Model of White LED Color Temperature

更新时间：2020-08-12

- Nonlinear Dynamic Prediction Model of White LED Color Temperature
- Chinese Journal of Luminescence Vol. 37, Issue 1, Pages: 106-111(2016)
- 作者机构：
  
  闽南师范大学物理与信息工程学院,福建漳州,363000
- 作者简介：
- 基金信息：
- DOI：10.3788/fgxb20163701.0106
  CLC： TN312+.8
- Received：02 October 2015，
  
  Revised：12 November 2015，
  
  Published：10 January 2016
- 稿件说明：
移动端阅览
周锦荣, 陈焕庭, 周小方. 白光LED色温的非线性动态预测模型[J]. 发光学报, 2016,37(1): 106-111

ZHOU Jin-rong, CHEN Huan-ting, ZHOU Xiao-fang. Nonlinear Dynamic Prediction Model of White LED Color Temperature[J]. Chinese Journal of Luminescence, 2016,37(1): 106-111
周锦荣, 陈焕庭, 周小方. 白光LED色温的非线性动态预测模型[J]. 发光学报, 2016,37(1): 106-111 DOI： 10.3788/fgxb20163701.0106.

ZHOU Jin-rong, CHEN Huan-ting, ZHOU Xiao-fang. Nonlinear Dynamic Prediction Model of White LED Color Temperature[J]. Chinese Journal of Luminescence, 2016,37(1): 106-111 DOI： 10.3788/fgxb20163701.0106.

摘要

LED灯的色温受到注入电流和结温变化的同步影响。通过分析实验系统采集到的HL001WY 型GaN 基白光LED在不同管脚温度和注入电流作用下色温变化的实验数据

利用曲线拟合与趋势回归方法建立色温、注入电流以及管脚温度三者之间动态变化的非线性预测模型

并对非线性模型的系数采用二次回归来补偿模型系数引起的预测值波动

提高模型计算精度。抽样测验和模型计算对比表明

利用该方法建立的动态非线性色温控制模型得到的计算数值与实验测量值的相对误差小于1.5%。

Abstract

The color temperature of LEDs is influenced by injection current and junction temperature synchronizing change. The experimental data of GaN-based white LED color temperature dynamic changes were analyzed under the action of different pin temperature and injection current. The methods based on curve fitting and trend regression were applied to dynamic non-linear predictive model

among the color temperature

injection current and pin temperature. The predicted value fluctuation of color temperature was reduced to improve the accuracy of model calculations using quadratic regression for coefficient of nonlinear model. The sampling tests compared with the model calculations show that the relative error between the calculated value and the actual measured value is less than 1.5%.

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references

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