Research on Color Quality and Optimization of LED Mixed Light
In fields such as film and television lighting and plant cultivation,it is necessary to design mixed light for LED light sources.This paper uses a genetic algorithm to optimize the general color rendering index Ra or color fidelity index Rf for 4-color and 6-color LED mixed light spectra separately.The objective is to achieve a higher general CRI Ra or color fidelity index Rf.The research investigates the impact of the initial population size and evolution generations on optimization values and optimization duration.Simultaneously,it analyzes the relationship between the general CRI Ra and color fidelity index Rf.A fast Non-dominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ)with an elite strategy is employed for the dual-objective optimization of the general color rendering index Ra and the Television Lighting Consistency Index(TLCI)Qa for a 6-color LED mixed light spectrum.This approach aims to simultaneously achieve a high general CRI Ra and a high TLCI Qa,making the light source suitable for specific scenarios such as film and television lighting.The simulation and experimental results demonstrate that,for the 4-color mixed light source with a color temperature ranging from 2 700 K to 7 500 K,the general CRI Ra consistently exceeding 95,and the color fidelity index Rf also surpasses 93.Additionally,there is good compatibility between the Rf and the general CRI Ra.Moreover,with an increase in the number of LED colors,the optimal values of the general CRI Ra also increase.For the dual-objective optimization of the 6-color mixed LED spectrum,within the color temperature range of 3 000 K to 9 000 K,both the general CRI Ra and the TLCI Qa can be maintained above 96.
genetic algorithmsingle and multi-objective optimizationgeneral color rendering indexfidelity indextelevision lighting consistency index
万方数据
维普
