CN106447136A - Illumination energy-saving control method based on variable-amplitude and variable-gain gradient extreme value searching algorithm - Google Patents

Abstract

The invention discloses an illumination energy-saving control method based on a variable-amplitude and variable-gain gradient extreme value searching algorithm. The illuminance requirement is maintained through PID (proportion integration differentiation) closed loop control; meanwhile, through the variable-amplitude and variable-gain gradient extreme value searching algorithm, the iteration is continuously performed to fast find the lowest value of the illumination system energy consumption; the lowest value stable output is maintained; in the variable-amplitude and variable-gain gradient extreme value searching algorithm, one positive signal is introduced for changing a disturbance amplitude value; the signal is firstly and fast increased so as to ensure the precision of the algorithm; then, the signal is decreased; the time required for algorithm searching is shortened; in addition, another positive signal is introduced for changing the gain size, so that the gain is firstly increased and is then decreased; when the gain is increased, the output of the algorithm fast approaches to an extreme point; when the gain is decreased, the fluttering degree of the output near the extreme point is reduced, so that the searching time is shortened; the fluttering degree during the stabilization approaching is reduced. By using the method provided by the invention, the speed and the accuracy of the gradient extreme value searching algorithm can be improved.

Description

Lighting energy saving control method based on Variable Amplitude variable-gain gradient extremum seeking algorithm

Technical field

The invention belongs to lighting control technique field, more specifically, it is related to one kind and is based on Variable Amplitude variable-gain gradient The lighting energy saving control method of extremum seeking algorithm.

Background technology

According to statistics, while global energy consumes with increasingly increasing, power consumption is also riseing therewith, and wherein single illumination is just Account for the height of whole world whole year total electricity consumption 20%.Obviously, saves energy, the usage amount reducing electric energy is that whole energy conservation project must A few part.

Traditional illuminator can only be illuminated by an off, and existing Lighting Control Assembly can be by adjusting lamp The demand to meet user for the bright dark degree it is achieved that certain energy-conservation, but control method is more complicated, and the effect of energy-conservation is not Good.It is thus desirable to proposing one kind both can guarantee that user's illumination requirement, enable the control algolithm of further energy-conservation again.

Apply in May 23 in 2016 in applicant, on October 12nd, 2016 announces, publication No. is " CN106028584A " name Referred to as it is proposed that a kind of controlled using PID in " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm " The double-closed-loop control method of algorithm processed and the extremum seeking algorithm based on gradient, ensure that target area using pid control algorithm Illumination value stabilization is setting near brightness value it is achieved that certain energy-conservation, and the extremum seeking algorithm using gradient is meeting illumination The minimum of system energy consumption can be arrived by fast searching in the case of demand, and keep minimum value stabilization to export it is achieved that secondary energy-saving, For applying, important control action is had on illuminator energy-conservation.

Above method is studied further and experimental verification during, it is found by the applicant that the method is in extremum search Speed and accuracy aspect not ideal enough it is still desirable to improve further.

Content of the invention

It is an object of the invention to overcoming the deficiencies in the prior art, one kind is provided to search based on Variable Amplitude variable-gain gradient extreme value The lighting energy saving control method of rope algorithm, by improving speed and the accuracy of gradient extremum seeking algorithm, thus improve illumination The overall performance of energy-saving control method.

For achieving the above object, the lighting energy saving control based on Variable Amplitude variable-gain gradient extremum seeking algorithm for the present invention Method processed comprises the following steps：

(1), all light fixtures being used for the illumination of illumination control area are divided into n group, and every group of light fixture percentage ratio w₁, w₂,…,w_nRepresent, wherein w₁+w₂+…+w_n=1, by changing percentage ratio w₁,w₂,…,w_nValue, each group can be controlled further Brightness between light fixture；In illumination control area, one optical sensor is installed, for the collection of illumination control area illumination；

(2), set the object illumination value of illumination control area, the percentage ratio of every group of light fixture of initialization is N-th groupConstitute vectorInitialization positive signal r；

(3), vectorProduce input vector W '=[w ' through the effect of disturbance S (t) and signal r product₁,w′₂,…, w′_n-1]^T；

Described disturbance S (t) is [a₁sinσ₁t,a₂sinσ₂t,...,a_n-1sinσ_n-1t]^T, wherein, t is the time, coefficient a₁,a₂,…,a_n-1, frequency parameter σ₁,σ₂,…,σ_n-1Determine as the case may be；

Described act as：

(4), by n-th w ' of input vector W ' and percentage ratio_n=1-w '₁-w′₂-…-w′_n-1Carry out integration to be inputted Vectorial W=[w₁,w₂,…,w_n]^T, optical sensor by the collection brightness value of illumination control area pass through the incoming controller of I2C agreement, Controller is passed to host computer by serial ports by gathering illumination Value Data；In host computer, gather brightness value and object illumination value Do PID closed loop control, that is, object illumination value deducts collection brightness value, difference is sent in PID controller, PID controller output control Amount processed, the percentage ratio that controlled quentity controlled variable acts on each group light fixture is w₁,w₂,…,w_n, the result after effect is passed to by serial ports output Controller, then dark degree bright to each group light fixture be controlled；And when the bright dark degree of light fixture changes, then pass through optical sensor Real-time Collection is carried out to illumination control area illumination, carries out PID closed loop control again, constantly reduce collection brightness value and target is shone The difference of angle value, finally makes collection illumination value stabilization in object illumination value；

(5), calculate the energy consumption of every group of light fixture, then sue for peace, obtain total energy consumption E '；

(6) if the brightness percentage ratio w of total energy consumption E ' and the last every group of light fixture obtaining₁,w₂,…,w_nUnder total energy Consumption E₀Difference DELTA E, that is, | E '-E₀| less than the threshold value setting, then terminate, brightness combination i.e. hundred of the every group of light fixture now exporting Divide and compare w₁,w₂,…,w_nFor meeting user's illumination requirement, energy consumption minimum brightness combination simultaneously；Otherwise, enter step (7)；

(7), total energy consumption E ' is filtered, to filter off unstable fluctuation, obtains filtered total energy consumption E；After filtering Total energy consumption E be multiplied by gain p after a low pass filter and produce positive signal r, its expression formula is：

Wherein, h₁It is default constant, span is h₁＞ 0；The selection of gain parameter p requires as making signal r be just to believe Number；

Filtered total energy consumption E is multiplied by gain q after another low pass filter and produces positive signal e, and its expression formula is：

Wherein, h₂It is default constant, span is h₂＞ 0；The selection of gain parameter q requires as making signal e be just to believe Number；

(8), filtered total energy consumption E is multiplied with positive signal e with after disturbance M (t) effect, obtains variable Δ W '=eM (t) E, wherein：

Described disturbance M (t) is：

(9), variable Δ W ' is multiplied by-K (constant coefficient) to integrate afterwards, in vectorPlace searches out to be made The next estimation iteration point that energy consumption reduces is vectorI.e.：

Then by vectorAs vectorReturn to step (3).

The lighting energy saving control method based on Variable Amplitude variable-gain gradient extremum seeking algorithm for the present invention, by PID closed loop Control and keep illumination requirement, simultaneously further through Variable Amplitude variable-gain gradient extremum seeking algorithm, continuous iteration fast searching is to photograph The minimum of bright system energy consumption, and keep minimum value stabilization output；In Variable Amplitude variable-gain gradient extremum seeking algorithm, introduce Changing the amplitude of disturbance, this signal is first quick to be increased, and to ensure the degree of accuracy of algorithm, then reduces, contracting for one positive signal The short time needed for algorithm search, introduce another positive signal in addition to change gain size, make gain first increases and then decreases, Make the output of algorithm quickly close to extreme point during increase, during reduction, so that output is reduced in the degree of shivering of Near The Extreme Point, this Sample had both shortened search time, reduced the degree of shivering when tending towards stability again.

The present invention is that the direction (i.e. negative gradient direction) declining along output energy consumption E at an iteration point searches out following iteration Point, then loop iteration, until the direction that energy consumption E declines tends to 0, i.e. | Δ E | ≈ 0, input ω now is with regard to the stable receipts of energy Hold back ω^*, thus just can be stable search corresponding least energy consumption value E*, its stability can pass through centre manifold thorem and Hall Dimension thatch theorem enters line justification, and the present invention can ensure that target area illumination value stabilization sets in user while search optimum energy consumption Near brightness value, with respect to former gradient extremum seeking algorithm, this optimizes illumination system in the case of meeting user's request System, and achieve the effect of further energy-conservation.

Brief description

Fig. 1 is that one kind of the lighting energy saving control method based on Variable Amplitude gradient extremum seeking algorithm for the present invention is embodied as Mode flow chart；

Fig. 2 is that in the present embodiment, indoor all light fixtures divide two groups of situation maps；

Fig. 3 be in the inventive method when light fixture divides two groups illumination for 65lux when change over figure；

Fig. 4 is that under illumination 65lux, light fixture divides traversal when two groups to test energy consumption with percentage ratio w₁Variation diagram；

Fig. 5 is that when under illumination 65lux, light fixture divides two groups, control methods and the inventive method experiment energy consumption E change over Figure；

Fig. 6 be in the inventive method when light fixture divides two groups illumination for 50lux when change over figure；

Fig. 7 is that under illumination 50ux, light fixture divides traversal when two groups to test energy consumption with percentage ratio w₁Variation diagram；

Fig. 8 is that when under illumination 50lux, light fixture divides two groups, the inventive method and control methods experiment energy consumption E change over Figure；

Fig. 9 is that in the present embodiment, indoor all light fixtures divide three groups of situation maps；

Figure 10 be in the inventive method during three liang of light fixture group illumination for 70lux when change over figure；

Figure 11 is that under illumination 70lux, light fixture divides traversal experiment w when three groups₁-w₂- E graphics；

Figure 12 is that when under illumination 70lux, light fixture divides three groups, the inventive method and control methods experiment energy consumption E change over Figure.

Specific embodiment

Below in conjunction with the accompanying drawings the specific embodiment of the present invention is described, so that those skilled in the art is preferably Understand the present invention.Requiring particular attention is that, in the following description, when known function and design detailed description perhaps Can desalinate the present invention main contents when, these descriptions will be ignored here.

Fig. 1 is that one kind of the lighting energy saving control method based on Variable Amplitude gradient extremum seeking algorithm for the present invention is embodied as Mode flow chart.As shown in figure 1, the present invention based on the lighting energy saving control method of Variable Amplitude gradient extremum seeking algorithm include with Lower step：

S101：Lamp group divides and optical sensor is installed：

The all light fixtures being used for the illumination of illumination control area are divided into n group, and every group of light fixture percentage ratio w₁,w₂,…, w_nRepresent, wherein w₁+w₂+…+w_n=1, by changing percentage ratio w₁,w₂,…,w_nValue, each group light fixture can be controlled further Between brightness, wherein, Lighting control region is exactly to need the region that dimmed.In order to obtain the target illumination value of needs, In illumination control area, one optical sensor is installed, for the collection of illumination control area illumination, so that through PID control Afterwards, the brightness value of reality is made to gather the object illumination value of the illumination control area that illumination value stabilization sets (reaching).

S102：Target setting brightness value and initialization：

Set the object illumination value of illumination control area, the percentage ratio of initialization (estimation) every group of light fixture isN-th groupWithObtain, so during searching algorithm circulation only Need n-1 item, constitute vectorWherein subscript T represents transposition.In addition it is also necessary to initialization one Positive signal r, for producing input vector W ' first.

S103：Produce input vector W '：

VectorProduce input vector W '=[w ' through the effect of disturbance S (t) and signal r product₁,w′₂,…,w′_n-1]^T；

Described disturbance S (t) is [a₁sinσ₁t,a₂sinσ₂t,...,a_n-1sinσ_n-1t]^T, wherein, t is the time, coefficient a₁,a₂,…,a_n-1, frequency parameter σ₁,σ₂,…,σ_n-1Determine as the case may be；

Described act as：

S104：Integrate input and PID closed loop Lighting control：

N-th w ' by input vector W ' and percentage ratio_n=1-w '₁-w′₂-…-w′_n-1Carry out integration and obtain input vector W =[w₁,w₂,…,w_n]^T, the purpose integrating input is to make every group of light fixture percentage ratio w₁,w₂,…,w_nRepresent and meet w₁+w₂+… +w_n=1 requirement, is convenient for the control of lamp group.

The collection brightness value of illumination control area is passed through the incoming controller of I2C agreement by optical sensor, and controller passes through string Collection illumination Value Data is passed to host computer by mouth；In host computer, collection brightness value does PID closed loop control with object illumination value Make, that is, object illumination value deducts collection brightness value, difference is sent in PID controller, PID controller output control amount, controlled quentity controlled variable The percentage ratio acting on each group light fixture is w₁,w₂,…,w_n, the result after effect is passed to controller by serial ports output, then Dark degree bright to each group light fixture is controlled；And when the bright dark degree of light fixture changes, then by optical sensor to illumination control Region illumination carries out Real-time Collection, carries out PID closed loop control again, constantly reduces the difference of collection brightness value and object illumination value Value, finally makes collection illumination value stabilization in object illumination value.It should be noted that PID closed loop control also has some equivalent controls Form processed, is not limited to above-mentioned concrete form in specific implementation process.

S105：Calculate total energy consumption：

Calculate the power consumption values of every group of light fixture, then sue for peace, obtain total energy consumption E '.

S106：Judge whether energy consumption difference meets requirement, if every group of light fixture that is, total energy consumption E ' was obtained with the last time Brightness percentage ratio w₁,w₂,…,w_nUnder total energy consumption E₀Difference DELTA E, that is, | E '-E₀| less than the threshold value setting, then terminate, now The brightness combination of every group of light fixture of output is percentage ratio w₁,w₂,…,w_nFor meeting user's illumination requirement, energy consumption minimum brightness simultaneously Combination；Otherwise, enter step S107.

S107：Produce positive signal r and positive signal e：

Total energy consumption E ' is filtered, to filter off unstable fluctuation, obtains filtered total energy consumption E.Filtered total Energy consumption E is multiplied by gain p after a low pass filter and produces positive signal r, and its expression formula is：

Wherein, h₁It is default constant, span is h₁＞ 0；The selection of gain parameter p requires as making signal r be just to believe Number.

Filtered total energy consumption E is multiplied by gain q after another low pass filter and produces positive signal e, and its expression formula is：

Wherein, h₂It is default constant, span is h₂＞ 0；Similarly, the selection of gain parameter q requires as making signal E is positive signal.

S108：Produce the variable Δ W ' of energy consumption of reaction difference：

Filtered total energy consumption E is multiplied with positive signal e with after disturbance M (t) effect, obtains variable Δ W ', wherein：

Described disturbance M (t) is：

The expression formula of described variable Δ W ' is：

S109：Obtain next estimation iteration point：

Variable Δ W ' is multiplied by integration after-K, in vectorPlace searches out under so that energy consumption is reduced Estimate that iteration point is vector for oneWherein K is normal number, is design parameter, sets as the case may be, that is,：

Then by vectorAs vectorReturn to step S103.

The iterative formula of gradient method is：w^(k+1)=w^(k)+λ_(k)d^(k), whereinλ_(k)It is iteration coefficient, Difference in herein two estimation points：So next estimation iteration can be searched out after integration Point

From the above description, it can be seen that invention introduces signal r and signal e, be publication No. be " CN106028584A " name Referred to as described in the patent of " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm " gradient-pole It is unexistent in value searching algorithm.For signal r and signal e, by (2) formula and (3) formula understand this two signals all with Total energy consumption E is relevant, and total energy consumption E is the signal of a change, when just starting, because given initial value and extreme point have necessarily Difference, so total energy consumption E be continuous increase, but the carrying out with search, total energy consumption E begins to decline and constantly levels off to 0, when total energy consumption E level off to 0 when because h₁＞ 0 and h₂＞ 0, so signal r and signal e successively decreases, and when just starting, due to Total energy consumption E is continuous increase, so r and e is also continuous increase, and r ＞ 0 and e ＞ 0, so signal r and signal e just opens Begin constantly to increase, then successively decrease, finally level off to 0, the proof of its stability can be proved by centre manifold thorem.

And in step S109, variable Δ W ' is multiplied by integration after-K, in vectorPlace is found It is vector to the next estimation iteration point making energy consumption reduceThen by vectorAs vectorThen have：

Understand, the present invention has been multiplied by signal e, Ke Yiji on the basis of gain K according to formula (6)In publication No. Special for " CN106028584A " entitled " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm " In described gradient extremum seeking algorithm in profit, gain K is a normal value, is constant, and it is equivalent to searching in gradient method Suo Buchang, by theory analysis and experiment simulation find its size with the time and search procedure searching needed for extreme point in Degree of shivering closely bound up, suitable increase K can shorten the time searching needed for extreme point, but but increased and searched for Degree of shivering in journey, and degree of shivering is to reduce when K is less, but search time is oversize, so the selection of K is most important.? In the present invention, K is multiplied by signal e as new gainFrom analysis above, signal e is one and first increases and successively decrease again Tend to 0 signal eventually, so new gainIt is equally one and first increases the variable gain finally tending to 0 of successively decreasing again, in search Early stage it constantly increase, output error so can be made to reduce rapidly, after output error is reduced to certain value, that is, export fast When tending towards stability, nowStart constantly to reduce, finally level off to 0, to reduce the degree of shivering when tending towards stability, thus improving Search the degree of accuracy of extreme point, so not only reduced the time searching needed for extreme point but also reduced when tending towards stability trembles Degree of quivering, improves the degree of accuracy of search.

In step s 103, by vectorThrough the effect of disturbance S (t) and signal r product produce input vector W '= [w′₁,w′₂,…,w′_n-1]^T, that is,：

Define error originated from input

Wherein W^*It is extreme point, then have：

From (8) formula, whenWhen tending to 0, W ' just levels off to W^*.In the present invention, disturbance S (t) is just multiplied by Signal r, for changing the amplitude of disturbance S (t).Publication No. be " CN106028584A " entitled " one kind searched based on gradient extreme value In the gradient extremum seeking algorithm described in patent of the two close cycles lighting energy saving control method of rope algorithm ", due toSoUnderstand in conjunction with emulation experiment, disturbance S (t) Size is related to the time of algorithm search and degree of accuracy, its amplitude a₁,a₂,…,a_n-1When larger, the search time of algorithm is longer, When amplitude is too little, the degree of accuracy of algorithm reduces again.And in the present invention, positive signal r has been multiplied by disturbance S (t), by dividing above Analysis understands, signal r is one and first increases the signal finally tending to 0 that successively decreases again, so the vibration amplitude of disturbance S (t), when being to start First quickly increase, to ensure the degree of accuracy of algorithm, then reduce, to shorten the time needed for algorithm search.

In the present invention, the proof of gradient extremum seeking algorithm stability can be by carrying out equalization to (2), (3) and (9) formula Process, first passing through centre manifold thorem proves that (2) formula and (3) formula are stable convergence, then passes through Hurwitz a Theory to (9) formula Stability enter line justification, the present invention is a closed loop system based on the extremum search control system of Variable Amplitude variable-gain gradient method System, is circulated by continuous, finally can be stable search out least energy consumption value E^*.

Embodiment

In order to the technique effect of the present invention is described, below based on intelligent lighting platform, using publication No. it is The patent of " CN106028584A " entitled " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm " In described method method as a comparison, with the lighting energy saving controlling party based on Variable Amplitude gradient extremum seeking algorithm for the present invention Method carries out contrast experiment.

The experiment of the present embodiment mainly comprises three parts, first all light fixtures is grouped, and sets brightness value, passes through PID control makes C real-time illumination value stabilization in target area set near brightness value, constant in packet situation and setting brightness value In the case of,

1st, first carry out traversal experiment, by traveling through the percentage ratio of each group light fixture, to be accurately obtained its corresponding energy consumption Value, finds least energy consumption value

2nd, tested using control methods, respectively obtain input and output and the graph of relation of time, look for from figure To the relatively minimal energy consumption exporting when tending towards stability

3rd, tested using the inventive method, respectively obtained the graph of relation of input and output and time, from figure Find relatively minimal energy consumption when output tends towards stability

By comparingWithDifference, performance advantage in terms of degree of accuracy for the present invention to be described, by comparing When output tends towards stability, the fluctuation range of energy consumption, to illustrate the size of the present invention and control methods degree of shivering.Because experiment exists Environmental effect, there is some difference with perfect condition for the data being obtained, but does not affect the judgement to the technology of the present invention effect.

First light fixture is divided into two groups in this experiment.Fig. 2 is that in the present embodiment, indoor all light fixtures divide two groups of situation maps. As shown in Fig. 2 artificially all for interior 11 light fixtures are divided into two groups：Wherein number be 15 lamps be lamp group 1, percentage ratio is w₁, remaining numbering be 26 lamps be lamp group 2, percentage ratio w₂.Set brightness value as 65lux, due to illumination over time Figure three partly in roughly the same, so only by the illumination tested using the inventive method, figure shows over time Come.Fig. 3 be in the inventive method when light fixture divides two groups illumination for 65lux when change over figure.

First carry out traversal experiment, w will be inputted₁Percentage ratio traverse 1 from 0 and tested, obtain the relation of itself and energy consumption Variation diagram.Fig. 4 is that under illumination 65lux, light fixture divides traversal when two groups to test energy consumption with percentage ratio w₁Variation diagram.Then using contrast Method and the inventive method are tested, and obtain the relationship change figure of its output and time.Fig. 5 is that under illumination 60lux, light fixture divides When two groups, control methods and the inventive method experiment energy consumption E change over figure.

As shown in Figure 4, work as w₁During for 0.66552, there is least energy consumption value 3.1043, the inventive method is in 60s as shown in Figure 5 Substantially tend towards stability afterwards, and control methods just tends towards stability after 160s substantially, reach in output and stablize the required time On, the inventive method is substantially better than control methods, from the point of view of the degree of shivering when stablizing, the inventive method also superior to control methods, By in figure data summarization in table 1.

It is better than the correctness of control methods in order to further illustrate the inventive method, in the feelings that light fixture is divided into identical two groups Under condition, change illumination is 50lux.Fig. 6 be in the inventive method when light fixture divides two groups illumination for 50lux when change over figure.

First carry out traversal experiment, w will be inputted₁Percentage ratio traverse 1 from 0 and tested, obtain the relation of itself and energy consumption Variation diagram.Fig. 7 is that under illumination 50ux, light fixture divides traversal when two groups to test energy consumption with percentage ratio w₁Variation diagram.Then adopt the present invention Method and control methods are tested, and obtain the relationship change figure of its output and time.Fig. 8 is that under illumination 50lux, light fixture divides two During group, the inventive method and control methods experiment energy consumption E change over figure.

As shown in Figure 7, work as w₁During for 0.6767, there is least energy consumption value 1.7236, the inventive method is in 150s as shown in Figure 8 Substantially tend towards stability afterwards, and control methods just tends towards stability after 260s substantially, reach in output and stablize the required time On, the inventive method is substantially better than control methods, and from the point of view of the degree of shivering when stablizing, the inventive method is also superior to control methods. Table 1 is illumination output energy consumption E data analysiss when light fixture divides two groups.

Table 1

From data in table 1, when energy consumption E of the inventive method tends towards stability, fluctuation range is less than control methods, and Closer to traversal optimal value.

Below all light fixtures are divided into three groups to be tested, Fig. 9 is that in the present embodiment, indoor all light fixtures divide three groups of situations Figure.As shown in figure 9, artificially all for interior 11 light fixtures are divided into three groups：Wherein number be 11 lamp be lamp group 1, percentage Than for w₁, numbering be 24 lamps be lamp group 2, percentage ratio w₂, numbering be 36 lamps be lamp group 3, percentage ratio w₃.Setting illumination It is worth for 70lux.Figure 10 be in the inventive method during three liang of light fixture group illumination for 70lux when change over figure.

First carry out traversal experiment, obtain energy consumption with percentage ratio w₁、w₂The graphics of change.Figure 11 is light fixture under illumination 70lux Divide traversal experiment w when three groups₁-w₂- E graphics.Then tested using the inventive method and control methods, obtained its output Relationship change figure with the time.Figure 12 is the inventive method and control methods experiment energy consumption E when light fixture divides three groups under illumination 70lux Change over figure.The inventive method tends towards stability after 80s substantially as shown in Figure 12, and control methods after 140s Substantially tend towards stability, reach in output and stablize on the required time, the inventive method is substantially better than control methods, when stablizing From the point of view of degree of shivering, the inventive method is also superior to control methods.Table 2 is illumination output energy consumption E data analysiss when light fixture divides three groups.

Table 2

From data in table 2, when energy consumption E of the inventive method tends towards stability, fluctuation range is less than control methods, and Closer to traversal optimal value.

Understood according to above experiment, the relative lowest energy consumption value search under same experimental situation, based on the inventive method Compared with searching for relative to lowest energy consumption value with control methods, advantage is：1. energy consumption decrease speed is faster；2. reach mental retardation relatively Stable time is kept faster after consumption value；3. the relative lowest energy consumption value that it searches is more accurate；4. the power consumption values ripple of its search Dynamic amplitude is less.Therefore, the present invention can improve speed and the accuracy of gradient extremum seeking algorithm, thus improving lighting energy saving The overall performance of control method.

Although to the present invention, illustrative specific embodiment is described above, in order to the technology of the art Personnel understand the present invention, the common skill it should be apparent that the invention is not restricted to the scope of specific embodiment, to the art For art personnel, as long as various change is in the spirit and scope of the present invention of appended claim restriction and determination, these Change is it will be apparent that all utilize the innovation and creation of present inventive concept all in the row of protection.

Claims (1)

1. a kind of lighting energy saving control method based on Variable Amplitude variable-gain gradient extremum seeking algorithm is it is characterised in that include Following steps：

(1), all light fixtures being used for the illumination of illumination control area are divided into n group, and every group of light fixture percentage ratio w₁,w₂,…, w_nRepresent, wherein w₁+w₂+…+w_n=1, by changing percentage ratio w₁,w₂,…,w_nValue, each group light fixture can be controlled further Between brightness；In illumination control area, one optical sensor is installed, for the collection of illumination control area illumination；

(2), set the object illumination value of illumination control area, the percentage ratio of every group of light fixture of initialization isN-th GroupConstitute vectorInitialization positive signal r；

(3), vectorProduce input vector W '=[w ' through the effect of disturbance S (t) and signal r product₁,w′₂,…,w′_n-1]^T；

Described disturbance S (t) is [a₁sinσ₁t,a₂sinσ₂t,...,a_n-1sinσ_n-1t]^T, wherein, t is the time, coefficient a₁, a₂,…,a_n-1, frequency parameter σ₁,σ₂,…,σ_n-1Determine as the case may be；

Described act as：

$W^{\′}=\left[\begin{array}{c}{w}_1^{\′}\\ w_2^{\′}\\ .\\ .\\ .\\ w_{n-1}^{\′}\end{array}\right]=\hat{W}+rS\left(t\right)=\left[\begin{array}{c}{\hat{w}}_1\\ {\hat{w}}_2\\ .\\ .\\ .\\ {\hat{w}}_{n-1}\end{array}\right]+r\left[\begin{array}{c}{a}_1{\mathrm{sin\σ}}_{1}t\\ a_2{\mathrm{sin\σ}}_{2}t\\ .\\ .\\ .\\ a_{n-1}{\mathrm{sin\σ}}_{n-1}t\end{array}\right];$

(4), by n-th w ' of input vector W ' and percentage ratio_n=1-w '₁-w′₂-…-w′_n-1Carry out integration and obtain input vector W =[w₁,w₂,…,w_n]^T, optical sensor is by the collection brightness value of illumination control area by I²The incoming controller of C agreement, controller Host computer is passed to by gathering illumination Value Data by serial ports；In host computer, collection brightness value is PID with object illumination value and closes Ring controls, and that is, object illumination value deducts collection brightness value, and difference is sent in PID controller, PID controller output control amount, control The percentage ratio that amount processed acts on each group light fixture is w₁,w₂,…,w_n, the result after effect is passed to controller by serial ports output, Then dark degree bright to each group light fixture is controlled；And when the bright dark degree of light fixture changes, then by optical sensor to illumination Control area illumination carries out Real-time Collection, carries out PID closed loop control again, constantly reduces collection brightness value and object illumination value Difference, finally makes collection illumination value stabilization in object illumination value；

(5), calculate the energy consumption of every group of light fixture, then sue for peace, obtain total energy consumption E '；

(6) if the brightness percentage ratio w of total energy consumption E ' and the last every group of light fixture obtaining₁,w₂,…,w_nUnder total energy consumption E₀'s Difference DELTA E, that is, | E '-E₀| less than the threshold value setting, then terminate, the brightness combination of the every group of light fixture now exporting is percentage ratio w₁, w₂,…,w_nFor meeting user's illumination requirement, energy consumption minimum brightness combination simultaneously；Otherwise, enter step (7)；

(7) total energy consumption E ' is filtered, to filter off unstable fluctuation, obtains filtered total energy consumption E；Filtered total energy Consumption E is multiplied by gain p after a low pass filter and produces positive signal r, and its expression formula is：

$\frac{dr}{dt}=-h_{1}r+{\mathrm{ph}}_{1}E$

Wherein, h₁It is default constant, span is h₁＞ 0；The selection of gain parameter p requires as making signal r be positive signal；

Filtered total energy consumption E is multiplied by gain q after another low pass filter and produces positive signal r, and its expression formula is：

$\frac{de}{dt}=-h_{2}e+{\mathrm{qh}}_{2}E$

Wherein, h₂It is default constant, span is h₂＞ 0；The selection of gain parameter q requires as making signal e be positive signal；

(8), filtered total energy consumption E is multiplied with positive signal e with after disturbance M (t) effect, obtains variable Δ W '=eM (t) E, Wherein：

Described disturbance M (t) is：

$M\left(t\right)={\[\frac{2}{a_1}{\mathrm{sin\σ}}_{1}t,\frac{2}{a_2}{\mathrm{sin\σ}}_{2}t,...,\frac{2}{a_{n-1}}{\mathrm{sin\σ}}_{n-1}t\]}^T;$

(9), variable Δ W ' is multiplied by-K (constant coefficient) to integrate afterwards, in vectorPlace searches out makes energy consumption The next estimation iteration point reducing is vectorI.e.：

${\hat{W}}_1=\hat{W}-{\mathrm{K\ΔW}}^{\′};$

Then by vectorAs vectorReturn to step (3).