Solar Spectrum Matching Based on White LED Compensated with Monochromatic LEDs

Guang-qiang, 徐广强 Xu; Hui-yuan, 于慧媛 Yu; Jing-hui, 张竞辉 Zhang; Guan-ying, 曹冠英 Cao; Lei, 韩磊 Han; De-sheng, 李德胜 Li; Jing-jie, 于晶杰 Yu

doi:10.3788/fgxb20173808.1117

Cited by 4 publications

(1 citation statement)

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“…Thus, in 2005, the Bialystok Technical University in Poland achieved output spectral modulation with a single-point spectral simulation error of about 30% by selecting the LED spectral type and controlling the LED energy [4]. In 2016, Nicola Trivellin et al performed simulations of the stellar spectrum using an array of 25 LEDs with different central wavelengths, covering the spectral range 365 nm-940 nm [5]. However, as the limitation of the central wavelength selection of LEDs by the technology level, the absence of certain wavelengths can lead to a simulation dead zone in the spectral simulation of broad-spectrum targets.…”

Section: Introductionmentioning

confidence: 99%

Research on Stellar Spectrum Simulation Method Based on Genetic Algorithm and Fuzzy PID Composite Control

Liu

Zhao

et al. 2023

IEEE Access

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For the current spectral simulation based on Digital Micromirror, the spectral simulation unit has different bias properties and nonlinear modulation, which leads to the lack of a spectral simulation method for multiple color temperature modulation. In this paper, a stellar spectrum simulation method based on Genetic Algorithm and fuzzy PID compound control was proposed. It analyzed the composition and working principle of the stellar spectrum simulation system, designed the corresponding matrix algorithm, studied the compound control spectral simulation algorithm of Genetic Algorithm and fuzzy PID, constructed a dual-input, three-output fuzzy PID controller architecture, and designed the Genetic Algorithm dual-optimized fuzzy PID control algorithm. In this research, an experimental platform was built to verify the generalization and simulation accuracy of the Genetic Algorithm and fuzzy PID compound control stellar spectrum simulation method based on the 2500K-10000K color temperature spectral curve as the target. The results indicated that the error of 2500K-10000K spectral simulation was between -2.91% and 2.94%, and the error of spectral curve area simulation was between -0.18% and 0.22%.As the smoothing of the star spectrum curves fails to verify the simulation ability of detailed characteristics such as peaks and troughs, the AM1.5 solar spectrum is taken as the simulation object, which verifies the performance of the star spectrum simulation method based on a genetic algorithm and a fuzzy PID integration.On this basis, the AM1.5 solar spectrum was taken as the simulation target to verify the ability to simulate detailed features such as wave peaks and troughs based on Genetic Algorithm with fuzzy PID compound control stellar spectrum simulation method. The results revealed that the accuracy of the singlepoint spectral simulation of AM1.5 solar spectrum is -5.76%, and the spectral curve area simulation error is 0.07%. The proposed method has the ability to simulate a wide range of color temperature targets with high accuracy. It has the ability to simulate detailed features such as wave peaks and troughs. It can provide a theoretical and technical basis for the ground calibration of the high-precision star sensor development.

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Section: Introductionmentioning

confidence: 99%

Research on Stellar Spectrum Simulation Method Based on Genetic Algorithm and Fuzzy PID Composite Control

Liu

Zhao

et al. 2023

IEEE Access

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Solar spectrum matching based on different white OLEDs for comfortable lighting

Cao

Zhang

et al. 2020

Optik

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Light source for comfortable lighting and trapping pests in tea gardens based on solar-like lighting

et al. 2020

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A large amount of tea is produced every year. Tea is often harmed by pests during the cultivation process, causing great economic damage. In this paper, we simulated a kind of light source for comfortable lighting and trapping pests based on solar-like lighting. We investigated three combinations of white LEDs and monochromatic LEDs for solar-like trapping light. The optimal combination of white LEDs and monochromatic LEDs was determined by the production cost and the spectral phototaxis ratio. We used TracePro for the trapping light mixing design. The results show that the combination of the cold white LED and six kinds of monochromatic LEDs is the best for trapping pests. A light source for comfortable lighting and trapping pests based on solar-like lighting with the color temperature of 7285 k, color coordinates of (0.3052, 0.3031), and color rendering index of 70 is obtained. The trapping light can not only be used as functional lighting but can also be applied to reduce the use of pesticides and improve the quality of tea.

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Solar Spectrum Matching Based on White LED Compensated with Monochromatic LEDs

Cited by 4 publications

References 0 publications

Research on Stellar Spectrum Simulation Method Based on Genetic Algorithm and Fuzzy PID Composite Control

Research on Stellar Spectrum Simulation Method Based on Genetic Algorithm and Fuzzy PID Composite Control

Solar spectrum matching based on different white OLEDs for comfortable lighting

Light source for comfortable lighting and trapping pests in tea gardens based on solar-like lighting

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