CN106447136B - Lighting energy saving control method based on Variable Amplitude variable-gain gradient extremum seeking algorithm - Google Patents
Lighting energy saving control method based on Variable Amplitude variable-gain gradient extremum seeking algorithm Download PDFInfo
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Abstract
The invention discloses a kind of lighting energy saving control methods based on Variable Amplitude variable-gain gradient extremum seeking algorithm, illumination requirement is kept by PID closed-loop control, simultaneously further through Variable Amplitude variable-gain gradient extremum seeking algorithm, continuous iteration quickly searches out the minimum of lighting system energy consumption, and minimum is kept to stablize output；In Variable Amplitude variable-gain gradient extremum seeking algorithm, a positive signal is introduced to change the amplitude of disturbance, this signal first quickly increases, to guarantee the accuracy of algorithm, then reduce, time needed for shortening algorithm search, furthermore another positive signal is introduced to change gain size, make gain first increases and then decreases, make the output of algorithm quickly close to extreme point when increase, when reduction, makes to export degree of the shivering reduction in Near The Extreme Point, search time is not only shortened in this way, but also reduces the degree of shivering when tending towards stability.The speed and accuracy of gradient extremum seeking algorithm can be improved using the present invention.
Description
Technical field
The invention belongs to lighting control technique fields, more specifically, are related to a kind of based on Variable Amplitude variable-gain gradient
The lighting energy saving control method of extremum seeking algorithm.
Background technique
According to statistics, while global energy consumes with increasing increasingly, power consumption is also riseing therewith, wherein single illumination is just
Account for the height of global annual total electricity consumption 20%.Obviously, electric energy is saved, the usage amount for reducing electric energy is that entire energy conservation project must can not
Few a part.
Traditional lighting system can only be illuminated by and off, and existing lighting control system can be by adjusting lamp
Bright dark degree meet the needs of users, realize certain energy conservation, but control method is more complex, and energy-efficient effect is not
It is good.Therefore it needs to propose that one kind not only can guarantee user's illumination requirement, but also is able to achieve further energy-efficient control algolithm.
Apply May 23 in 2016 in applicant, on October 12nd, 2016 announces, publication No. is " CN106028584A " name
Referred to as in " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm ", propose a kind of using PID control
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
Brightness value is stablized near setting brightness value, realizes certain energy conservation, the extremum seeking algorithm using gradient is meeting illumination
The minimum of system energy consumption can be quickly searched out in the case where demand, and minimum value is kept to stablize output, realize secondary energy-saving,
There is important control action in lighting system energy conservation for applying.
During further being studied above method and experimental verification, it is found by the applicant that this method is in extremum search
Speed and accuracy in terms of it is not ideal enough, it is still desirable to be further improved.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide one kind to be searched based on Variable Amplitude variable-gain gradient extreme value
The lighting energy saving control method of rope algorithm, by improving the speed and accuracy of gradient extremum seeking algorithm, to improve illumination
The overall performance of energy-saving control method.
For achieving the above object, the present invention is based on the lighting energy saving controls of Variable Amplitude variable-gain gradient extremum seeking algorithm
Method processed the following steps are included:
(1), all lamps and lanterns for being used for the illumination of illumination control area are divided into n group, and every group of lamps and lanterns percentage w1,
w2,…,wnIt indicates, wherein w1+w2+…+wn=1, by changing percentage w1,w2,…,wnValue, can further control each group
Brightness between lamps and lanterns；One optical sensor is installed in illumination control area, the acquisition for illumination control area illumination；
(2), the object illumination value of illumination control area is set, the percentage for initializing every group of lamps and lanterns is
N-th groupConstitute vectorInitialize positive signal r；
(3), vectorInput vector W '=[w ' is generated by disturbance S (t) and the effect of signal r product1,w′2,…,
w′n-1]T；
The disturbance S (t) is [a1sinσ1t,a2sinσ2t,...,an-1sinσn-1t]T, wherein t is time, coefficient
a1,a2,…,an-1, frequency parameter σ1,σ2,…,σn-1It determines as the case may be；
The effect are as follows:
(4), by n-th w ' of input vector W ' and percentagen=1-w '1-w′2-…-w′n-1It is integrated and is inputted
Vector W=[w1,w2,…,wn]T, optical sensor by the acquisition brightness value of illumination control area by I2C agreement be passed to controller,
Controller is passed to host computer for illumination Value Data is acquired by serial ports；In host computer, acquisition brightness value and object illumination value
PID closed-loop control is done, i.e. object illumination value subtracts acquisition brightness value, and difference is sent into PID controller, PID controller output control
Amount processed, control amount act on the percentage i.e. w of each group lamps and lanterns1,w2,…,wn, the result after effect is transmitted to by serial ports output
Controller, then dark degree bright to each group lamps and lanterns controls；And when the bright dark degree of lamps and lanterns changes, then pass through optical sensor
Illumination control area illumination is acquired in real time, carries out PID closed-loop control again, constantly reduces acquisition brightness value and target is shone
The difference of angle value stablizes acquisition brightness value in object illumination value；
(5), the energy consumption for calculating every group of lamps and lanterns, then sums, obtains total energy consumption E '；
(6) if, the brightness percentage w of total energy consumption E ' and last every group of obtained lamps and lanterns1,w2,…,wnUnder total energy
Consume E0Difference DELTA E, i.e., | E '-E0| less than the threshold value of setting, then terminate, the brightness combination i.e. hundred of the every group of lamps and lanterns exported at this time
Divide and compares w1,w2,…,wnTo meet user's illumination requirement, while energy consumption minimum brightness combines；Otherwise, (7) are entered step；
(7), total energy consumption E ' is filtered, to filter off unstable fluctuation, obtains filtered total energy consumption E；After filtering
Total energy consumption E after a low-pass filter multiplied by gain p generate positive signal r, expression formula are as follows:
Wherein, h1It is preset constant, value range h1> 0；Gain parameter p's selects to require to enable signal r be positive letter
Number；
Filtered total energy consumption E generates positive signal e, expression formula multiplied by gain q after another low-pass filter are as follows:
Wherein, h2It is preset constant, value range h2> 0；Gain parameter q's selects to require to enable signal e be positive letter
Number；
(8), filtered total energy consumption E is multiplied with after disturbance M (t) effect with positive signal e, obtains variable Δ W '=eM
(t) E, in which:
The disturbance M (t) are as follows:
(9), variable Δ W ' is integrated afterwards multiplied by-K (constant coefficient), in vectorPlace, which searches out, to be made
Next estimation iteration point, that is, vector that energy consumption reducesThat is:
Then by vectorAs vectorReturn step (3).
The present invention is based on the lighting energy saving control methods of Variable Amplitude variable-gain gradient extremum seeking algorithm, pass through PID closed loop
Control keeps illumination requirement, while further through Variable Amplitude variable-gain gradient extremum seeking algorithm, continuous iteration quickly searches out photograph
The minimum of bright system energy consumption, and minimum is kept to stablize output；In Variable Amplitude variable-gain gradient extremum seeking algorithm, introduce
One positive signal changes the amplitude of disturbance, this signal first quickly increases, to guarantee the accuracy of algorithm, then reduce, contract
It time needed for short algorithm search, introduces another positive signal furthermore to change gain size, makes gain first increases and then decreases,
Make the output of algorithm quickly close to extreme point when increase, when reduction, makes to export degree of the shivering reduction in Near The Extreme Point, this
Sample not only shortens search time, but also reduces the degree of shivering when tending towards stability.
The present invention is that the direction (i.e. negative gradient direction) at an iteration point along output energy consumption E decline searches out following iteration
Point, then loop iteration, until the direction of energy consumption E decline tends to 0, i.e., | and Δ E | ≈ 0, the stable receipts of input ω energy at this time
ω * is held back, so that stable corresponding least energy consumption value E* can be searched, stability can pass through centre manifold thorem and Hall
Dimension thatch theorem is proved that the present invention can guarantee that target area brightness value is stablized while searching for optimal energy consumption and set in user
Near brightness value, relative to former gradient extremum seeking algorithm, the present invention optimizes illumination system in the case where meeting user demand
System, and realize further energy-efficient effect.
Detailed description of the invention
Fig. 1 is that the present invention is based on a kind of specific implementations of the lighting energy saving control method of Variable Amplitude gradient extremum seeking algorithm
Mode flow chart；
Fig. 2 is that indoor all lamps and lanterns are divided to two groups of situation maps in the present embodiment；
Fig. 3 is to change over time figure when illumination is 65lux in the method for the present invention when lamps and lanterns are divided to two groups；
Fig. 4 is that traversal tests energy consumption with percentage w when lamps and lanterns are divided to two groups under illumination 65lux1Variation diagram；
Fig. 5 is that control methods and the method for the present invention experiment energy consumption E are changed over time when lamps and lanterns are divided to two groups under illumination 65lux
Figure；
Fig. 6 is to change over time figure when illumination is 50lux in the method for the present invention when lamps and lanterns are divided to two groups；
Fig. 7 is that traversal tests energy consumption with percentage w when lamps and lanterns are divided to two groups under illumination 50ux1Variation diagram；
Fig. 8 is that the method for the present invention and control methods experiment energy consumption E are changed over time when lamps and lanterns are divided to two groups under illumination 50lux
Figure；
Fig. 9 is three groups of situation maps of indoor all lamps and lanterns point in the present embodiment；
Figure is changed over time when illumination is 70lux in the method for the present invention when Figure 10 is 3 two groups of lamps and lanterns；
Traversal experiment w when Figure 11 is three groups of lamps and lanterns point under illumination 70lux1-w2- E three-dimensional figure；
The method of the present invention and control methods experiment energy consumption E are changed over time when Figure 12 is three groups of lamps and lanterns point under illumination 70lux
Figure.
Specific embodiment
A specific embodiment of the invention is described with reference to the accompanying drawing, preferably so as to those skilled in the art
Understand the present invention.Requiring particular attention is that in the following description, when known function and the detailed description of design perhaps
When can desalinate main contents of the invention, these descriptions will be ignored herein.
Fig. 1 is that the present invention is based on a kind of specific implementations of the lighting energy saving control method of Variable Amplitude gradient extremum seeking algorithm
Mode flow chart.As shown in Figure 1, the present invention is 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 installation:
All lamps and lanterns for being used for the illumination of illumination control area are divided into n group, and every group of lamps and lanterns percentage w1,w2,…,
wnIt indicates, wherein w1+w2+…+wn=1, by changing percentage w1,w2,…,wnValue, can further control each group lamps and lanterns
Between brightness, wherein Lighting control region is exactly the region dimmed.The target illumination value needed in order to obtain,
One optical sensor is installed in illumination control area, for the acquisition of illumination control area illumination, to pass through PID control
Afterwards, actual brightness value is made to acquire the stable object illumination value in the illumination control area that (reaching) sets of brightness value.
S102: setting object illumination value and initialization:
The object illumination value of illumination control area is set, the percentage of initialization (estimation) every group of lamps and lanterns isN-th groupWithIt obtains, so during searching algorithm circulation only
N-1 are needed, vector is constitutedWherein subscript T indicates transposition.In addition it is also necessary to initialize one
Positive signal r, for generating input vector W ' for the first time.
S103: input vector W ' is generated:
VectorInput vector W '=[w ' is generated by disturbance S (t) and the effect of signal r product1,w′2,…,w′n-1]T；
The disturbance S (t) is [a1sinσ1t,a2sinσ2t,...,an-1sinσn-1t]T, wherein t is time, coefficient
a1,a2,…,an-1, frequency parameter σ1,σ2,…,σn-1It determines as the case may be；
The effect are as follows:
S104: integration input and PID closed loop Lighting control:
By n-th w ' of input vector W ' and percentagen=1-w '1-w′2-…-w′n-1It is integrated to obtain input vector W
=[w1,w2,…,wn]T, the purpose for integrating input is to make every group of lamps and lanterns percentage w1,w2,…,wnIt indicates and meets w1+w2+…
+wn=1 requirement is convenient for the control of lamp group.
The acquisition brightness value of illumination control area is passed to controller by I2C agreement by optical sensor, and controller passes through string
Acquisition illumination Value Data is passed to host computer by mouth；In host computer, acquisition brightness value and object illumination value do PID closed loop control
System, i.e. object illumination value subtract acquisition brightness value, and difference is sent into PID controller, and PID controller exports control amount, control amount
Act on the percentage i.e. w of each group lamps and lanterns1,w2,…,wn, the result after effect is transmitted to controller by serial ports output, then
Dark degree bright to each group lamps and lanterns controls；And illumination is controlled when the bright dark degree of lamps and lanterns changes, then through optical sensor
Region illumination is acquired in real time, is carried out PID closed-loop control again, is constantly reduced the difference of acquisition brightness value and object illumination value
Value stablizes acquisition brightness value in object illumination value.It should be noted that there are also some equivalent controls for PID closed-loop control
Form processed is not limited to above-mentioned concrete form in the specific implementation process.
S105: total energy consumption is calculated:
The power consumption values for calculating every group of lamps and lanterns, then sum, and obtain total energy consumption E '.
S106: judging whether energy consumption difference meets the requirements, i.e., if total energy consumption E ' and last every group of obtained lamps and lanterns
Brightness percentage w1,w2,…,wnUnder total energy consumption E0Difference DELTA E, i.e., | E '-E0| less than the threshold value of setting, then terminate, at this time
The brightness combination of every group of lamps and lanterns of output is percentage w1,w2,…,wnTo meet user's illumination requirement, while energy consumption minimum brightness
Combination；Otherwise, S107 is entered step.
S107: positive signal r and positive signal e is generated:
Total energy consumption E ' is filtered, to filter off unstable fluctuation, obtains filtered total energy consumption E.It is filtered total
Energy consumption E generates positive signal r, expression formula multiplied by gain p after a low-pass filter are as follows:
Wherein, h1It is preset constant, value range h1> 0；Gain parameter p's selects to require to enable signal r be positive letter
Number.
Filtered total energy consumption E generates positive signal e, expression formula multiplied by gain q after another low-pass filter are as follows:
Wherein, h2It is preset constant, value range h2> 0；Similarly, gain parameter q select require to enable signal
E is positive signal.
S108: the variable Δ W ' of energy consumption of reaction difference is generated:
Filtered total energy consumption E is multiplied with after disturbance M (t) effect with positive signal e, obtains variable Δ W ', in which:
The disturbance M (t) are as follows:
The expression formula of the variable Δ W ' are as follows:
S109: next estimation iteration point is obtained:
Variable Δ W ' is integrated multiplied by after-K, in vectorPlace searches out under reducing energy consumption
One estimation iteration point, that is, vectorWherein K is normal number, is design parameter, sets as the case may be, it may be assumed that
Then by vectorAs vectorReturn step S103.
The iterative formula of gradient method are as follows: w(k+1)=w(k)+λ(k)d(k), wherein d(k)=-▽ E (ω(k)), λ(k)It is iteration system
It counts, here the difference of two estimation points:So next estimation can be searched out after integral
Iteration point
It is publication No. is " CN106028584A " name from the above description, it can be seen that invention introduces signal r and signal e
Referred to as documented gradient-pole in the patent of " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm "
It is unexistent in value searching algorithm.For signal r and signal e, known to (2) formula and (3) formula the two signals all with
Total energy consumption E is related, and total energy consumption E is the signal of a variation, when just starting, since given initial value and extreme point have centainly
Difference, so total energy consumption E constantly increases, but with the progress of 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 of h1> 0 and h2> 0, so signal r and signal e successively decrease, and when just starting, due to
Total energy consumption E constantly increases, so r and e are also constantly to increase, and r > 0 and e > 0, so signal r and signal e are just opened
Begin constantly to increase, then successively decreases, finally level off to 0, the proof of stability can be proved by centre manifold thorem.
And in step S109, by variable Δ W ' multiplied by being integrated after-K, in vectorPlace searches out
The next estimation iteration point i.e. vector for reducing energy consumptionThen by vectorAs vectorThen have:
According to formula (6) it is found that the present invention on the basis of gain K multiplied by signal e, Ke YijiIn publication No.
For the special of " CN106028584A " entitled " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm "
In benefit in documented gradient extremum seeking algorithm, gain K is a normal value, be it is constant, it is equivalent to searching in gradient method
Suo Buchang, in the time and search process needed for finding its size by theory analysis and experiment simulation and search extreme point
Degree of shivering it is closely bound up, increase K appropriate can shorten search extreme point needed for the time, but increase and searched for
Degree of shivering in journey, and degree of shivering is to reduce, but search time is too long when K is smaller, so the selection of K is most important.?
In the present invention using K multiplied by signal e as new gainBy the analysis of front it is found that signal e is one first increases and successively decrease again most
Tend to 0 signal eventually, so new gainEqually be one first increase successively decrease again finally tend to 0 variable gain, in search
Early period, it constantly increased, and output error can be made to be reduced rapidly in this way, and after output error is reduced to certain value, i.e., output is fast
When tending towards stability, at this timeStart it is continuous reduce, 0 is finally leveled off to, to reduce the degree of shivering when tending towards stability, to improve
The accuracy of extreme point is searched, not only reduced the time needed for searching extreme point in this way but also reduces trembling when tending towards stability
Degree of quivering improves the accuracy of search.
In step s 103, by vectorBy disturbance S (t) and signal r product effect generate input vector W '=
[w′1,w′2,…,w′n-1]T, it may be assumed that
Define error originated from input
Wherein W*It is extreme point, then has:
By (8) formula it is found that working asWhen tending to 0, W ' just levels off to W*.S (t) will be disturbed in the present invention multiplied by just
Signal r, for changing the amplitude of disturbance S (t).Publication No. is " CN106028584A " entitled " a kind of to be searched based on gradient extreme value
In gradient extremum seeking algorithm documented by the patent of the two close cycles lighting energy saving control method of rope algorithm ", due toSoIn conjunction with emulation experiment it is found that disturbing S (t)
Size is related to the time of algorithm search and accuracy, amplitude a1,a2,…,an-1When larger, the search time of algorithm is longer,
When amplitude is too small, the accuracy of algorithm reduces again.And S (t) will be disturbed in the present invention multiplied by positive signal r, by point of front
Analysis it is found that signal r be one first increase successively decrease again finally tend to 0 signal, so disturbance S (t) vibration amplitude, be start when
First quickly increase, to guarantee the accuracy of algorithm, then reduce, with the time needed for shortening algorithm search.
The proof of gradient extremum seeking algorithm stability can be by carrying out equalization to (2), (3) and (9) formula in the present invention
Processing, first passing through centre manifold thorem proves that (2) formula and (3) formula are stable convergence, then by Hurwitz a Theory to (9) formula
Stability proved that the extremum search control system the present invention is based on Variable Amplitude variable-gain gradient method is a closed loop system
System, by constantly recycling, finally can be stable search out least energy consumption value E*。
Embodiment
In order to illustrate technical effect of the invention, below based on intelligent lighting platform, use publication No. for
The patent of " CN106028584A " entitled " a kind of two close cycles lighting energy saving control method based on gradient extremum seeking algorithm "
In documented method method as a comparison, and the present invention is based on the lighting energy saving controlling parties of Variable Amplitude gradient extremum seeking algorithm
Method compares experiment.
The experiment of the present embodiment mainly includes three parts, is grouped first to all lamps and lanterns, sets brightness value, passes through
PID control stablizes C real-time brightness value in target area near setting brightness value, constant in grouping situation and setting brightness value
In the case of,
1, traversal experiment is first carried out, by traversing the percentage of each group lamps and lanterns, to be accurately obtained its corresponding energy consumption
Value, finds least energy consumption value
2, it is tested using control methods, respectively obtains the graph of relation output and input with the time, Cong Tuzhong is looked for
Relatively minimal energy consumption when tending towards stability to output
3, it is tested using the method for the present invention, respectively obtains the graph of relation output and input with the time, Cong Tuzhong
Find relatively minimal energy consumption when output tends towards stability
By comparingWithDifference, to illustrate performance advantage of the present invention in terms of accuracy, by comparing
The fluctuation range of energy consumption when output tends towards stability, to illustrate the size of the present invention with control methods degree of shivering.Since experiment exists
Environment influences, and there is some difference with perfect condition for data obtained, but does not influence the judgement to the technology of the present invention effect.
Lamps and lanterns are divided into two groups first in this experiment.Fig. 2 is that indoor all lamps and lanterns are divided to two groups of situation maps in the present embodiment.
As shown in Fig. 2, indoor all 11 lamps and lanterns are artificially divided into two groups: 5 lamps that wherein number is 1 are lamp group 1, and percentage is
w1, 6 lamps that remaining number is 2 are lamp group 2, percentage w2.Brightness value is set as 65lux, since illumination changes with time
Figure is roughly the same in three parts, so only showing the illumination tested using the method for the present invention figure that changes with time
Come.Fig. 3 is to change over time figure when illumination is 65lux in the method for the present invention when lamps and lanterns are divided to two groups.
Traversal experiment is first carried out, w will be inputted1Percentage traverse 1 from 0 and tested, obtain its relationship with energy consumption
Variation diagram.Fig. 4 is that traversal tests energy consumption with percentage w when lamps and lanterns are divided to two groups under illumination 65lux1Variation diagram.Then using comparison
Method and the method for the present invention are tested, and the relationship change figure of its output and time is obtained.Fig. 5 is lamps and lanterns point under illumination 60lux
Control methods and the method for the present invention experiment energy consumption E change over time figure at two groups.
As shown in Figure 4, work as w1When being 0.66552, there is least energy consumption value 3.1043, the method for the present invention is in 60s as shown in Figure 5
It tends towards stability substantially later, and control methods just tends towards stability substantially after 160s, reaches in output and stablizes the required time
On, the method for the present invention is substantially better than control methods, from the point of view of the degree of shivering when stablizing, the method for the present invention also superior to control methods,
By data summarization in figure in table 1.
Method is better than the correctness of control methods in order to further illustrate the present invention, and lamps and lanterns are being divided into identical two groups of feelings
Under condition, change illumination is 50lux.Fig. 6 is to change over time figure when illumination is 50lux in the method for the present invention when lamps and lanterns are divided to two groups.
Traversal experiment is first carried out, w will be inputted1Percentage traverse 1 from 0 and tested, obtain its relationship with energy consumption
Variation diagram.Fig. 7 is that traversal tests energy consumption with percentage w when lamps and lanterns are divided to two groups under illumination 50ux1Variation diagram.Then using the present invention
Method and control methods are tested, and the relationship change figure of its output and time is obtained.Fig. 8 is that lamps and lanterns are divided to two under illumination 50lux
The method of the present invention and control methods experiment energy consumption E change over time figure when group.
As shown in Figure 7, work as w1When being 0.6767, there is least energy consumption value 1.7236, the method for the present invention is in 150s as shown in Figure 8
It tends towards stability substantially later, and control methods just tends towards stability substantially after 260s, reaches in output and stablizes the required time
On, the method for the present invention is substantially better than control methods, and from the point of view of the degree of shivering when stablizing, the method for the present invention is also superior to control methods.
Table 1 is illumination output energy consumption E data analysis when lamps and lanterns are divided to two groups.
Table 1
By data in table 1 it is found that fluctuation range is less than control methods when the energy consumption E of the method for the present invention tends towards stability, and
Closer to traversal optimal value.
All lamps and lanterns are divided into three groups below to test, Fig. 9 is three groups of situations of indoor all lamps and lanterns point in the present embodiment
Figure.As shown in figure 9, indoor all 11 lamps and lanterns are artificially divided into three groups: 1 lamp that wherein number is 1 is lamp group 1, percentage
Than for w1, 4 lamps that number is 2 are lamp group 2, percentage w2, 6 lamps that number is 3 are lamp group 3, percentage w3.Illumination is set
Value is 70lux.Figure is changed over time when illumination is 70lux in the method for the present invention when Figure 10 is 3 two groups of lamps and lanterns.
Traversal experiment is first carried out, obtains energy consumption with percentage w1、w2The three-dimensional figure of variation.Figure 11 is lamps and lanterns under illumination 70lux
Traversal experiment w when dividing three groups1-w2- E three-dimensional figure.Then it is tested using the method for the present invention and control methods, obtains its output
With the relationship change figure of time.The method of the present invention and control methods experiment energy consumption E when Figure 12 is three groups of lamps and lanterns point under illumination 70lux
Change over time figure.The method of the present invention tends towards stability substantially after 80s as shown in Figure 12, and control methods after 140s
Substantially it tends towards stability, reaches and stablize on the required time in output, the method for the present invention is substantially better than control methods, from when stablizing
From the point of view of degree of shivering, the method for the present invention is also superior to control methods.Illumination output energy consumption E data analysis when table 2 is three groups of lamps and lanterns point.
Table 2
By data in table 2 it is found that fluctuation range is less than control methods when the energy consumption E of the method for the present invention tends towards stability, and
Closer to traversal optimal value.
According to the above experiment it is found that under same experimental situation, the opposite lowest energy consumption value search based on the method for the present invention
Advantage is compared with control methods is with respect to lowest energy consumption value search: 1. energy consumption decrease speeds are faster；2. reaching most low energy relatively
Stable time is kept after consumption value faster；3. its opposite lowest energy consumption value searched is more accurate；4. its power consumption values wave searched for
Dynamic amplitude is smaller.Therefore, the speed and accuracy of gradient extremum seeking algorithm can be improved in the present invention, to improve lighting energy saving
The overall performance of control method.
Although the illustrative specific embodiment of the present invention is described above, in order to the technology of the art
Personnel understand the present invention, it should be apparent that the present invention is not limited to the range of specific embodiment, to the common skill of the art
For art personnel, if various change the attached claims limit and determine the spirit and scope of the present invention in, these
Variation is it will be apparent that all utilize the innovation and creation of present inventive concept in the column of protection.
Claims (1)
1. a kind of lighting energy saving control method based on Variable Amplitude variable-gain gradient extremum seeking algorithm, which is characterized in that including
Following steps:
(1), all lamps and lanterns for being used for the illumination of illumination control area are divided into n group, and every group of lamp brightness percentage w1,
w2,…,wnIt indicates, wherein w1+w2+…+wn=1, by changing brightness percentage w1,w2,…,wnValue, can further control
Brightness between each group lamps and lanterns；One optical sensor is installed in illumination control area, the acquisition for illumination control area illumination；
(2), the object illumination value of illumination control area is set, the brightness percentage for initializing every group of lamps and lanterns is
N-th groupConstitute vectorInitialize positive signal r；
(3), vectorInput vector W '=[w ' is generated by disturbance S (t) and the effect of signal r product1,w′2,…,w′n-1]T；
The disturbance S (t) is [a1sinσ1t,a2sinσ2t,...,an-1sinσn-1t]T, wherein t is time, coefficient a1,
a2,…,an-1, frequency parameter σ1,σ2,…,σn-1It determines as the case may be；
The input vector W ' are as follows:
(4), by n-th w ' of input vector W ' and brightness percentagen=1-w '1-w′2-…-w′n-1It is integrated and is inputted
Vector W=[w1,w2,…,wn]T, the acquisition brightness value of illumination control area passes through I by optical sensor2C agreement is passed to controller,
Controller is passed to host computer for illumination Value Data is acquired by serial ports；In host computer, acquisition brightness value and object illumination value
PID closed-loop control is done, i.e. object illumination value subtracts acquisition brightness value, and difference is sent into PID controller, PID controller output control
Amount processed, control amount act on the brightness percentage i.e. w of each group lamps and lanterns1,w2,…,wn, the result after effect is exported by serial ports
It is transmitted to controller, then dark degree bright to each group lamps and lanterns controls；And it is passed when the bright dark degree of lamps and lanterns changes, then through light
Sensor acquires illumination control area illumination in real time, carries out PID closed-loop control again, constantly reduces acquisition brightness value and mesh
The difference for marking brightness value stablizes acquisition brightness value in object illumination value；
(5), the energy consumption for calculating every group of lamps and lanterns, then sums, obtains total energy consumption E '；
(6) if, the brightness percentage w of total energy consumption E ' and last every group of obtained lamps and lanterns1,w2,…,wnUnder total energy consumption E0's
Difference DELTA E, i.e., | E '-E0| less than the threshold value of setting, then terminate, the brightness combination i.e. brightness percentage of the every group of lamps and lanterns exported at this time
Compare w1,w2,…,wnTo meet user's illumination requirement, while energy consumption minimum brightness combines；Otherwise, (7) are entered step；
(7) total energy consumption E ' is filtered, to filter off unstable fluctuation, obtains filtered total energy consumption E；Filtered total energy
It consumes E and generates positive signal r, expression formula multiplied by gain p after a low-pass filter are as follows:
Wherein, h1It is preset constant, value range h1> 0；The selecting of gain parameter p requires to enable signal r to be positive signal；
Filtered total energy consumption E generates positive signal r, expression formula multiplied by gain q after another low-pass filter are as follows:
Wherein, h2It is preset constant, value range h2> 0；The selecting of gain parameter q requires to enable signal e to be positive signal；
(8), filtered total energy consumption E is multiplied with after disturbance M (t) effect with positive signal e, obtains variable Δ W '=eM (t) E,
Wherein:
The disturbance M (t) are as follows:
(9), variable Δ W ' is integrated multiplied by after-K, wherein K is constant coefficient, in vectorPlace searches out
The next estimation iteration point i.e. vector for reducing energy consumptionThat is:
Then by vectorAs vectorReturn step (3).
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| CN106028585A (en) * | 2016-05-23 | 2016-10-12 | 电子科技大学 | Newton extremum search algorithm-based double closed-loop lighting energy-saving control method |
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