CN102496063A - Illumination uniformization method for high-power LED (light-emitting diode) array - Google Patents
Illumination uniformization method for high-power LED (light-emitting diode) array Download PDFInfo
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- CN102496063A CN102496063A CN2011103668016A CN201110366801A CN102496063A CN 102496063 A CN102496063 A CN 102496063A CN 2011103668016 A CN2011103668016 A CN 2011103668016A CN 201110366801 A CN201110366801 A CN 201110366801A CN 102496063 A CN102496063 A CN 102496063A
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Abstract
The invention provides an illumination uniformization method for a high-power LED (light-emitting diode) array. The illumination uniformization method comprises the following steps of: taking a variance of illuminations of a plurality of points on an illumination surface as a target evaluation function, wherein the variables in the target evaluation function are position coordinates of all LEDs; and obtaining a minimal target evaluation function value through optimizing the positions of the LEDs, wherein the positions of the LEDs are the best positions when the target evaluation function value is minimal, that is to say, the uniform illumination distribution on the illumination surface is achieved. The illumination uniformization method provided by the invention has the advantages of capably arranging any number of LEDs automatically. Compared with the traditional method, the illumination uniformization method has the characteristics of wide practical range, capability of automatically arranging LEDs through designing a program, and simpleness.
Description
Technical field
The present invention relates to a kind of method of high-power LED array illumination homogenising, belong to the LED lighting technical field.
Background technology
LED is a kind of novel light source, has power saving, long service life, and low pressure directly drives, and thermal value is fewer, advantages such as non-pollution safety energy-conserving and environment-protective.So LED is widely used in the backlight in various lighting fields such as street lamp, car light, projector and the display etc.Clearly, as long as the cost of LED reduces along with the continuous development of LED technology, electricity-saving lamp and incandescent lamp are inevitable by the LED bulb.Yet because LED is a Lambertian (lambert) light source, its luminous intensity is by square variation of visual angle cosine, therefore directly with LED illumination target plane, is very uneven in the illumination of objective plane.Therefore, how to improve the illuminance uniformity of LED at objective plane, keeping high optical efficiency simultaneously will be a very important problem.At most lighting environment, single LEDs is difficult to satisfy the requirement of illumination, and the led array that needs plurality of LEDs to form is realized.How realizing the illumination homogenising of led array on illuminated area, will be a major issue that faces.Traditional method all is to take the way of resolving; Calculate the transfer function that various led array are arranged; Confirm the position of each LED in the regularly arranged led array, this method is to have specific (special) requirements and method more loaded down with trivial details to the quantity of LED, restricted application.
Summary of the invention
The objective of the invention is to overcome the deficiency that exists in the prior art, a kind of method of high-power LED array illumination homogenising is provided, in order to obtain the even distribution of illumination on the illuminated area.
According to technical scheme provided by the invention; The method of said high-power LED array illumination homogenising is: as the objective appraisal function, the variable in the objective appraisal function is each LED position coordinates with the variance of multiple spot illumination on the illuminated area, through optimizing the position of LED; Realize that the objective appraisal functional value is minimum; The objective appraisal functional value hour, said LED position is the optimum position, has promptly obtained the even distribution of illumination on the illuminated area.
Described led array is by constituting greater than 2 LED.
Said objective appraisal function is
N is a natural number; E wherein
I, jBe the illumination of arbitrfary point on the illuminated area,
Average illumination for illuminated area.
The process of optimizing said objective appraisal function can adopt genetic algorithm, such as genetic algorithm on multiple populations or quantum genetic algorithm.
The process of optimizing said objective appraisal function in like manner can adopt simulated annealing, particle cluster algorithm, ant group algorithm, fruit bat algorithm, fish-swarm algorithm.
Advantage of the present invention is: the present invention can carry out auto arrangement to the LED of any amount.Compare with traditional method, usage range is wide, can carry out the LED auto arrangement through designing program, and method is simple.
Description of drawings
Fig. 1 is the implementing procedure figure of present technique.
Fig. 2 obtains five LEDs position distribution for using genetic algorithm.
Fig. 3 is the illumination profile diagram after the LED position optimization.
Embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is described further.
The present invention is a kind of method that realizes high-power LED array illumination homogenising.The variance of multiple spot illumination on the illuminated area as the objective appraisal function, through the position of reasonably optimizing LED, is realized that the objective appraisal functional value is minimum, and promptly variance is minimum, promptly can obtain the even distribution of illumination on the illuminated area.
The present invention is through the plurality of LEDs position of rationally arranging, and makes each LEDs illumination mutual superposition on target face, forms uniform illumination and distributes.This method mainly is, as the objective appraisal function, the variable in the objective appraisal function is each LED position coordinates in the array with the variance of multiple spot illumination on the illuminated area; Through the position of reasonably optimizing LED, realize that the objective appraisal functional value is minimum, promptly variance is minimum; Variance is more little, and Illumination Distribution is even more.So promptly can obtain the even distribution of illumination on the illuminated area.The process of optimizing can use genetic algorithm (like genetic algorithm on multiple populations, or quantum genetic algorithm), simulated annealing, particle cluster algorithm, ant group algorithm, fruit bat algorithm to obtain objective appraisal minimum of a function value, promptly establishes the optimum position of each LED.
Described led array is made up of the LED of LED quantity greater than 2.
Illuminance uniformity on the described illuminated area can be estimated like this, illumination minimum value and the peaked ratio of illumination on illuminated area.
Optimizing process makes illuminated area objective appraisal functional value minimum exactly, and promptly each point illumination variance is minimum on the illuminated area, i.e. the process of uniformity coefficient raising.
As shown in Figure 1, at first confirm area to be thrown light on and illuminated area distance apart from led array, and the moving range of initial setting LED.Set up the function of estimating illuminance uniformity, as the objective appraisal function.The objective appraisal function is
N is a natural number; E wherein
I, jBe the illumination of arbitrfary point on the illuminated area,
Average illumination for illuminated area.
Selection reasonable optimizing algorithm (like genetic algorithm, simulated annealing, particle cluster algorithm; Ant group algorithm, the fruit bat algorithm), the objective appraisal function is optimized; Make objective appraisal function value less than the minimum value that requires, so just can obtain the optimum position of each LED.After the optimum position that obtains LED, the led array light source is arranged by calculating the acquisition position, at light simulation and analysis software, analyze based on monte carlo method, come the confirmatory experiment result.Analysis software Tracepro commonly used, ASAP, Lightools etc.
Below be example with the genetic algorithm, introduce the implementation method of genetic algorithm optimization Evaluation for Uniformity function.Genetic algorithm is one type of random search algorithm of using for reference organic sphere natural selection and natural genetic mechanism, is highly suitable for the dealing with nonlinear optimization problem.Use genetic algorithm to be optimized the illuminance uniformity evaluation function and need following step:
1 sets up fitness function
Fitness function is the standard that is used for distinguishing the individual in population quality, is unique foundation of carrying out natural selection, and here, fitness function is exactly the evaluation function of illuminance uniformity, i.e. the objective appraisal function.The individuality that the fitness function value is more little, fitness are good more, and individuality is superior more.
2 initialization of population
Therefore can not directly the handle problems parameter (like the position coordinates of LED) in space of genetic algorithm must be expressed as the chromosome in hereditary space or individual to the feasible solution that requires problem through coding.What the individuality here was corresponding is exactly the LED position coordinates.
3 selection operations
Selection operation is from old colony, to select defect individual to form new population with certain probability, obtains of future generation individual with breeding.Individual selected probability is relevant with fitness value, and ideal adaptation degree value is high more, and selected probability is big more.
4 interlace operations
Interlace operation is meant selects two individuals at random from population, through two chromosomal exchange combinations, entail substring to the outstanding characteristic of father's string, thereby produce new excellent individual.
5 mutation operations
The purpose of mutation operation is to keep the population diversity.Mutation operation is picked at random body one by one from population, selects a bit making a variation to produce more outstanding individuality in the individuality.
6 non-linear optimizing
Behind the certain algebraically of the every evolution of genetic algorithm; With resultant result is initial value; Carry out local optimal searching; And the local optimum that finds optimizing continues to evolve as new individual chromosome, to the last finds the minimum individuality of fitness function value, just found the corresponding LED position coordinates of Evaluation for Uniformity function minimum.
If adopt other algorithm; The implementation process of its implementation process and genetic algorithm is also similar; Corresponding illumination homogenising evaluation function with the objective appraisal function of every kind of algorithm; The variable of LED position coordinates as the objective appraisal function, through the enforcement of algorithm, the position coordinates of optimization variable obtains objective appraisal minimum of a function value.The utilization genetic algorithm optimization five LEDs array arrangement forms, as shown in Figure 2, use up learn true and analysis software can to obtain its illumination profile as shown in Figure 3.
Claims (9)
1. the method for high-power LED array illumination homogenising; It is characterized in that: as the objective appraisal function, the variable in the objective appraisal function is each LED position coordinates with the variance of multiple spot illumination on the illuminated area, through optimizing the position of LED; Realize that the objective appraisal functional value is minimum; The objective appraisal functional value hour, said LED position is the optimum position, has promptly obtained the even distribution of illumination on the illuminated area.
2. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, described led array is by constituting greater than 2 LED.
3. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, said objective appraisal function is
N is a natural number; E wherein
I, jBe the illumination of arbitrfary point on the illuminated area,
Average illumination for illuminated area.
4. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, the process of optimizing said objective appraisal function adopts genetic algorithm, and said genetic algorithm is a genetic algorithm on multiple populations, or quantum genetic algorithm.
5. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, the process of optimizing said objective appraisal function adopts simulated annealing.
6. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, the process of optimizing said objective appraisal function adopts particle cluster algorithm.
7. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, the process of optimizing said objective appraisal function adopts ant group algorithm.
8. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, the process of optimizing said objective appraisal function adopts the fruit bat algorithm.
9. the method for high-power LED array illumination homogenising according to claim 1 is characterized in that, the process of optimizing said objective appraisal function adopts fish-swarm algorithm.
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| CN103020336A (en) * | 2012-11-26 | 2013-04-03 | 江南大学 | Equivalent LED light source establishing method |
| CN105160140A (en) * | 2015-10-21 | 2015-12-16 | 中国地质大学（武汉） | Design method of energy-saving lighting source spectrum |
| CN105634593A (en) * | 2015-12-18 | 2016-06-01 | 重庆邮电大学 | Indoor visible light communication LED array layout optimization method based on genetic algorithm |
| CN107480805A (en) * | 2017-06-23 | 2017-12-15 | 河海大学 | A kind of tidal current energy water turbine array optimization method based on genetic algorithm |
| CN109345521A (en) * | 2018-09-25 | 2019-02-15 | 江南大学 | A kind of LED free form surface array based on leather surface defects detection |
| CN109959499A (en) * | 2017-12-26 | 2019-07-02 | 宁波方太厨具有限公司 | A kind of kitchen ventilator lamp illumination test device |
| CN112347597A (en) * | 2020-11-13 | 2021-02-09 | 西安工程大学 | Method for improving LED illumination uniformity based on improved particle swarm optimization |
| CN112798104A (en) * | 2020-12-30 | 2021-05-14 | 杨凌锐展美农智能装备有限公司 | Method for obtaining uniform illumination field on illumination surface of agricultural product by using universal illumination light source |
| CN113916906A (en) * | 2021-09-03 | 2022-01-11 | 江苏理工学院 | LED light source illumination optimization method of visual detection system and used experimental equipment |
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| CN103020336B (en) * | 2012-11-26 | 2016-08-03 | 江南大学 | A kind of equivalent LED light source creation method |
| CN103020336A (en) * | 2012-11-26 | 2013-04-03 | 江南大学 | Equivalent LED light source establishing method |
| CN105160140B (en) * | 2015-10-21 | 2018-06-26 | 中国地质大学（武汉） | A kind of Energy -- Saving Illuminating Source spectrum design method |
| CN105160140A (en) * | 2015-10-21 | 2015-12-16 | 中国地质大学（武汉） | Design method of energy-saving lighting source spectrum |
| CN105634593A (en) * | 2015-12-18 | 2016-06-01 | 重庆邮电大学 | Indoor visible light communication LED array layout optimization method based on genetic algorithm |
| CN105634593B (en) * | 2015-12-18 | 2018-05-04 | 重庆邮电大学 | A kind of indoor visible light communication LED array layout optimization method based on genetic algorithm |
| CN107480805A (en) * | 2017-06-23 | 2017-12-15 | 河海大学 | A kind of tidal current energy water turbine array optimization method based on genetic algorithm |
| CN107480805B (en) * | 2017-06-23 | 2021-05-11 | 河海大学 | Genetic algorithm-based tidal current energy water turbine array optimization method |
| CN109959499A (en) * | 2017-12-26 | 2019-07-02 | 宁波方太厨具有限公司 | A kind of kitchen ventilator lamp illumination test device |
| CN109345521A (en) * | 2018-09-25 | 2019-02-15 | 江南大学 | A kind of LED free form surface array based on leather surface defects detection |
| CN109345521B (en) * | 2018-09-25 | 2021-04-30 | 江南大学 | LED free-form surface array based on leather surface defect detection |
| CN112347597A (en) * | 2020-11-13 | 2021-02-09 | 西安工程大学 | Method for improving LED illumination uniformity based on improved particle swarm optimization |
| CN112347597B (en) * | 2020-11-13 | 2024-04-05 | 西安工程大学 | Method for improving LED illumination uniformity based on improved particle swarm algorithm |
| CN112798104A (en) * | 2020-12-30 | 2021-05-14 | 杨凌锐展美农智能装备有限公司 | Method for obtaining uniform illumination field on illumination surface of agricultural product by using universal illumination light source |
| CN113916906A (en) * | 2021-09-03 | 2022-01-11 | 江苏理工学院 | LED light source illumination optimization method of visual detection system and used experimental equipment |
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Application publication date: 20120613 |