CN102650889B - Angle control system for solar cell panel - Google Patents
Angle control system for solar cell panel Download PDFInfo
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- CN102650889B CN102650889B CN201110045411.9A CN201110045411A CN102650889B CN 102650889 B CN102650889 B CN 102650889B CN 201110045411 A CN201110045411 A CN 201110045411A CN 102650889 B CN102650889 B CN 102650889B
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Abstract
The invention provides an angle control system for a solar cell panel. The angle control system comprises a detection module (10), a fuzzy control module (30) and an angle regulation module (50), wherein the detection module (10) is used for acquiring the current output power value and most recently recorded output power value of the solar cell panel and calculating the output power attenuation (delta P) and the attenuation variation (d delta P/dt); the fuzzy control module (30) is used for calculating the angle regulated value of the solar cell panel according to a preset fuzzy control rule by utilizing the power attenuation (delta P) and the attenuation variation (d delta P/dt) as input variables; and the angle regulation module (50) is used for regulating the horizontal angle regulating component or the vertical angle regulating component of the solar cell panel to rotate for a preset angle according to the angle regulated value of the solar cell panel. The angle control system can obtain the angle regulated value of the solar cell panel by utilizing the output power value of the solar cell panel, and is higher in control accuracy, and thus when the solar cell panel is not provided with a photosensitive component, the accurate control over the angle regulation can still be realized.
Description
Technical field
The present invention relates to filed of air conditioning, relate in particular to a kind of angle of solar cell panel control system.
Background technology
Along with day by day increasing the weight of and the continuous deterioration of environment of world energy sources crisis, people generally recognize and substitute traditional fossil energy with renewable clean energy resource.The wherein renewable and clean energy resource such as sun power, wind energy is also in technical field of new energies, to use often and ripe.
Sun power, as the one of clean energy resource, uses region extensive, and technology is comparatively ripe, has been widely used in various fields, and wherein more is photovoltaic solar generating and hot pipe technique.But the problems such as sun power is also faced with and does not concentrate, is subject to that weather effect is large, region, time factor are outstanding.In order to make the transformation efficiency of sun power reach maximum, will be by sunlight vertical irradiation to solar panel.Therefore, certainly will to take appropriate measures, make solar panel to change and to rotate along with the direct projection angle of sunlight, continue to ensure that sunlight is vertically mapped on solar panel.
At present, the solar energy tracking device on market, or single axle rotation, or double-axle rotation, all can not change along with the variation in time and season well.Although can determine by light sensation components and parts in the prior art the incident angle of sunlight, thereby control turning to of solar panel, its high expensive, control program and complicated in mechanical structure, be difficult for realizing, and factor affected by environment is larger.Particularly for cloudy, overcast and rainy weather, sunlight or direct irradiation, or see through cloud layer, allow existing control and light sensation components and parts be difficult to identification.For the system of only identifying by light intensity or light sensation current/voltage, control device meeting " takes for " sun and has changed angle, needs to adjust; And because weather reason, such adjustment meeting repeatedly occurs repeatedly, causes whole control system repeatedly to make revision directive, can cause impact to a certain degree to machinery.Above situation shows: market demand one is more easily controlled, is subject to such environmental effects less, and easy to adjust, cost is lower, and control accuracy is higher, the novel solar battery plate steering control system that mechanization degree and program complexity are less.
The weak point of the solar energy tracking device of available technology adopting light sensitive component has: it is stiff 1, to control.For the system that there is no light sensitive component, often can not make effective reaction according to actual intensity of illumination well, can only adjust according to the established rule in memory chip the angle of solar panel.2, be subject to environmental factor too large.For the system that has light sensitive component, although can effectively ensure that the corner of cell panel is consistent with incident light, under the weather such as overcast and rainy, cloudy, sandstorm, or while having intense light source to exist, all can not effectively identify light intensity around, cause the adjustment that makes mistake.3, cost is higher, installs and is difficult for.For these systems, need to coordinate set program according to concrete installation environment, or need to be away from interference source, these have all limited the usable range that adopts the solar energy tracking device of light sensitive component.
Summary of the invention
The technical matters that the present invention solves is to provide a kind of angle of solar cell panel control system, makes angle of solar cell panel control system in the time there is no light sensitive component, still can realize the accurate control of angular setting.
To achieve these goals, according to an aspect of the present invention, a kind of angle of solar cell panel control system is provided, comprise: detection module, obtain the output power value of current solar panel and the output power value of the last record, calculate the variable quantity of damping capacity and the damping capacity of power; Fuzzy control model, taking the damping capacity of power and the variable quantity of damping capacity as input variable, calculates the angular adjustment value of solar panel by predetermined fuzzy control rule; Angular adjustment module, according to the angular adjustment value of solar panel, regulates the level angle adjustment member of solar panel or vertical angle adjustment member to rotate predetermined angular.
Further, fuzzy control model comprises: rule base, comprises multiple predetermined fuzzy control rules; Converting unit, taking the damping capacity of power and the variable quantity of damping capacity as input variable, input variable is carried out to Fuzzy processing, form the first fuzzy reasoning subset corresponding with the damping capacity of power and the second fuzzy reasoning subset corresponding with the variable quantity of damping capacity; Fuzzy reasoning unit, according to described default fuzzy control rule, carries out fuzzy reasoning logical operation to the first fuzzy reasoning subset and the second fuzzy reasoning subset, draws fuzzy reasoning control subset; Ambiguity solution unit, by after fuzzy reasoning control subset ambiguity solution, obtains the angular adjustment value of solar panel.
Further, converting unit adopts following formula to carry out Fuzzy processing to input variable, obtains the mapping value n of input variable in the first fuzzy reasoning subset or the second fuzzy reasoning subset:
Wherein, N is the fuzzy domain limit value of input variable and output variable, in the time that input variable is power attenuation amount, gets 3, when input variable is the variable quantity of power attenuation amount, gets 2; P is solar panel power-handling capability; K is error scale factor, in the time of damping capacity that input variable is power, gets 0.2, when input variable is the variable quantity of power attenuation amount, gets 0.1; X is the value of input variable.
Further, ambiguity solution unit adopts mean value method to carry out fuzzy judgement to fuzzy reasoning control subset and obtains fuzzy control value, and according to the angular adjustment value of fuzzy control value passing ratio conversion acquisition solar panel.
Further, by following formula, fuzzy control value is carried out to transformation of scale:
Wherein, the angular adjustment value that θ is solar panel, n ' is fuzzy control value.
Further, fuzzy control model also comprises: fuzzy rule generation unit, for recording the parameter regulated value under adjustment state, generates available fuzzy control rule according to parameter regulated value, and be stored in rule base.
Further, fuzzy rule generation unit comprises: parameter judging unit, for recording parameters regulated value, judge whether the output power value of the current solar panel that parameter regulated value is corresponding is greater than the output power value of the last record, when judged result is when being, generate the first fuzzy control rule; Rule authentication unit, taking the damping capacity of power and the variable quantity of damping capacity as input variable, judge that whether the first fuzzy control rule repeatedly occurs, when the first fuzzy control rule repeatedly occurs, judges that the first fuzzy control rule is available fuzzy control rule; Rule adding device, adds available fuzzy control rule to rule base.
Further, regular adding device also for: whether the predetermined fuzzy control rule that judges available fuzzy control rule and rule base there is contradiction; In the time of predetermined fuzzy control rule contradiction in available fuzzy control rule and rule base, the predetermined fuzzy control rule in rule base is replaced with to available fuzzy control rule.
Further, rule adding device also for: in the time that applicable rule is multiple and has contradiction, respectively taking the damping capacity of power and the variable quantity of damping capacity as input variable, calculate the intensity of multiple available fuzzy control rules, wherein, the intensity of each available fuzzy control rule is the mapping value of input variable in each applicable rule corresponding the first fuzzy reasoning subset mapping value, the second fuzzy reasoning subset and the product of fuzzy control value; The available fuzzy control rule of intensity level maximum is added into rule base.
Apply technical scheme of the present invention, by fuzzy control model is set, according to predetermined fuzzy control rule, utilize the output power value of solar panel to obtain the angular adjustment value of solar panel, control accuracy is higher, thereby can and photo-sensitive cell is not set on solar panel time, still can realize the accurate control of angular setting.
Except object described above, feature and advantage, the present invention also has other object, feature and advantage.Below with reference to figure, the present invention is further detailed explanation.
Brief description of the drawings
Accompanying drawing is used to provide a further understanding of the present invention, forms the application's a part, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 shows according to the principle schematic of the angle of solar cell panel control system of the embodiment of the present invention;
Fig. 2 shows according to the fuzzy control model principle schematic of the angle of solar cell panel control system of the embodiment of the present invention;
Fig. 3 shows the fuzzy control model flow chart of data processing figure according to the embodiment of the present invention;
Fig. 4 shows according to the principle schematic of the fuzzy rule generation unit of embodiment of the present invention angle of solar cell panel control system; And
Fig. 5 shows according to the flow chart of data processing figure of the fuzzy rule generation unit of embodiment of the present invention angle of solar cell panel control system.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are elaborated, but the multitude of different ways that the present invention can be defined by the claims and cover is implemented.
Fig. 1 shows according to the principle schematic of the angle of solar cell panel control system of the embodiment of the present invention.As shown in Figure 1, angle of solar cell panel control system comprises: detection module 10, obtain the output power value of current solar panel and the output power value of the last record, calculate the damping capacity Δ P of power and the variable quantity d Δ P/dt of damping capacity; Fuzzy control model 30, taking the damping capacity Δ P of power and the variable quantity d Δ P/dt of damping capacity as input variable, calculates the angular adjustment value of solar panel by predetermined fuzzy control rule; Angular adjustment module 50, according to the angular adjustment value of solar panel, regulates the level angle adjustment member of solar panel or vertical angle adjustment member to rotate predetermined angular.
In the present embodiment, by fuzzy control model 30 is set, according to predetermined fuzzy control rule, just can utilize the output power value of solar panel to obtain the angular adjustment value of solar panel, control accuracy is higher.And input quantity and photo-sensitive cell correlativity are lower, just can and photo-sensitive cell is not set on solar panel time, still can realize the accurate control of angular setting.
The structure of each module will be introduced in detail below.
Fig. 2 shows according to the fuzzy control model principle schematic of the angle of solar cell panel control system of the embodiment of the present invention.As shown in Figure 2, fuzzy control model 30 comprises: rule base 31, comprises multiple predetermined fuzzy control rules; Converting unit 33, taking the damping capacity Δ P of power and the variable quantity d Δ P/dt of damping capacity as input variable, input variable is carried out to Fuzzy processing, form the first fuzzy reasoning subset corresponding with the damping capacity Δ P of power, the second fuzzy reasoning subset corresponding with the variable quantity d Δ P/dt of damping capacity; Fuzzy reasoning unit 35, according to default fuzzy control rule, carries out fuzzy reasoning logical operation to the first fuzzy reasoning subset and the second fuzzy reasoning subset, draws fuzzy reasoning control subset; Ambiguity solution unit 37, by after fuzzy reasoning control subset ambiguity solution, obtains the angular adjustment value of solar panel.
In the fuzzy control model 30 of the present embodiment, taking FUZZY ALGORITHMS FOR CONTROL as main body, input variable is power change values △ P and the power variation rate d △ P/dt of solar panel, output variable is Level tune angle and the vertical adjusting angle θ of solar panel, and wherein level angle adjusting and vertical angle regulate and hocket.
To adopt Triangleshape grade of membership function to carry out Fuzzy processing as example to input variable in the present embodiment, introduce in detail the treatment scheme of unit in fuzzy control model 30 below.
Fig. 3 shows the fuzzy control model flow chart of data processing figure according to the embodiment of the present invention.As shown in Figure 3, the actual conditions that use in conjunction with solar panel, in converting unit 33, by the fuzzy subset of input variable △ P, the first fuzzy reasoning subset is set as { NB, NM, NS, ZERO, PS, PM, PB}, fuzzy domain is [3,3],, after the first fuzzy reasoning subset being quantized according to fuzzy domain, show that the first fuzzy subset is { 3,-2 ,-1,0,1,2,3}; The fuzzy subset of d △ P/dt, the second fuzzy reasoning subset be set as NB, NS, ZERO, PS, PB}, fuzzy domain is [2,2], after it quantizes the second fuzzy reasoning subset according to fuzzy domain, show that the second fuzzy subset is { 2 ,-1,0,1,2}.
Wherein, NB is " negative large ", and NM be " in negative ", and NS is " bearing little ", and ZERO is " zero ", and PS is " just little ", and PM is " center ", and PB is " honest ", below identical.
Simultaneously, in converting unit 33, owing to adopting Triangleshape grade of membership function to carry out Fuzzy processing to input variable, the output rating value of power change values and power variation rate and solar panels is linear, therefore before obfuscation input variable, need to carry out transformation of scale to it according to the concrete specification of solar panel, be mapped to again in corresponding fuzzy subset, draw the degree of membership of input variable in the first fuzzy reasoning subset or the second fuzzy reasoning subset, the namely mapping value n of input variable in the first fuzzy reasoning subset or the second fuzzy reasoning subset.
Particularly, adopt transformation for mula as the formula (1) to convert:
In formula, N is the fuzzy domain limit value of input variable and output variable, in the time that input variable is power attenuation amount Δ P, gets 3, when input variable is the variable quantity d △ P/dt of power attenuation amount, gets 2; P is solar panel power-handling capability; K is error scale factor, in the time of damping capacity Δ P that input variable is power, gets 0.2, when input variable is the variable quantity d △ P/dt of power attenuation amount, gets 0.1; X is the value of input variable.
When obtaining after the mapping value n of input variable in the first fuzzy reasoning subset or the second fuzzy reasoning subset, fuzzy reasoning unit 35 is according to the predetermined fuzzy control rule in rule base 31, " fuzzy rule 1 ", " fuzzy rule 2 " etc. carry out fuzzy reasoning logical operation to the first fuzzy reasoning subset and the second fuzzy reasoning subset as shown in Figure 3, just can draw fuzzy reasoning control subset, i.e. " output 1 " shown in Fig. 3, " output 2 ", " output 3 " etc.
In the present embodiment, predetermined fuzzy control rule is on the basis of a large amount of experiments, by the data of manual shift solar panel recording and arranged rear formation.The general IF that uses ... AND ... THEN ... statement is described, and (within a sampling period), if under " at condition A " and " at condition B ", " result C ".
For example, can adopt in the present embodiment the predetermined fuzzy control rule of following fuzzy control rule:
If 1. △ P is honest or negative large or zero, angle remains unchanged;
If 2. △ P is center, and d △ P/dt is large or negative little for bearing, and angular setting is for just little;
If 3. △ P is center, and d △ P/dt is zero or honest or just little, and angular setting is honest;
If 4. △ P is for just little, and d △ P/dt is little or negative large for bearing, and angular setting is zero;
If 5. △ P is for just little, and d △ P/dt is zero, and angular setting is for just little;
If 6. △ P is for just little, and d △ P/dt is honest or just little, and angular setting is zero;
If 7. △ P is for negative little, and d △ P/dt is honest, and angular setting is for just little;
If 8. △ P is for negative little, and d △ P/dt is just little or zero, and angular setting is honest;
If 9. △ P is for negative little, and d △ P/dt is little or negative large for bearing, and angular setting is for negative little;
If 10. △ P is in negative, and d △ P/dt is honest or just little or zero, and angular setting is for just little;
If (11) △ P is in negative, and d △ P/dt is large or negative little for bearing, and angular setting is for greatly negative.
Being organized into form sees the following form:
, according to above-mentioned predetermined fuzzy control rule, the first fuzzy reasoning subset and the second fuzzy reasoning subset are carried out to fuzzy reasoning logical operation, just can draw fuzzy reasoning control subset.
Then, ambiguity solution unit 37 carries out fuzzy judgment to fuzzy reasoning control subset, after synthesizing, carries out sharpening processing, obtains fuzzy control value, the transformation of scale of fuzzy control value just can be obtained to the angular adjustment value of solar panel.
For example, in the present embodiment, ambiguity solution method adopts maximum membership degree---mean value method.Adopt mean value method to carry out fuzzy judgement to fuzzy reasoning control subset and obtain fuzzy control value, and according to the angular adjustment value of fuzzy control value passing ratio conversion acquisition solar panel.Wherein, the level that output variable is solar panel or vertically adjust angle, physics domain is [15 °, 15 °], the fuzzy subset of output variable is set as NB, NS, ZERO, PS, PB}, fuzzy domain is [2,2].
Because fuzzy domain and physics domain exist certain linear relationship, after therefore drawing the fuzzy theory thresholding of output variable, need passing ratio conversion to obtain actual angle controlled quentity controlled variable.
For example, can adopt formula (2) as transformation for mula:
In formula, θ---angle of solar cell panel adjusted value, n '---output variable fuzzy theory thresholding.
Below taking one particularly adjustment process as example, simply introduce the processing procedure of the fuzzy control model in the present embodiment.
Calculate with solar panels rated power 200W, suppose last sampling instant data: P1=120W, △ P1=8W; Current sampling instant data: P2=135W, power changes △ P=P2-P1=15W, and the power variation rate d △ P/dt of discretize is △ P-△ P1=7W.To after the value substitution formula (1) of △ P and d △ P/dt, obtain n=-1.125.Thereby can obtain being mapped on the PS and PM in the first fuzzy subset after △ P obfuscation, and mapping value PS(15)=0.875, PM(15)=0.125; Similarly, can draw, after d △ P/dt obfuscation, be mapped to fuzzy subset ZERO and PS upper, ZERO(7)=0.7, PS(7)=0.3; Contrast fuzzy control rule table, this input variable can activate following three fuzzy rules as seen:
If 3. △ P for center, and d △ P/dt be zero honest or center, angular setting is honest.
If 5. △ P is for just little, and d △ P/dt is zero, and angular setting is for just little.
If 6. △ P is for just little, and d △ P/dt is honest or just little, and angular setting is zero.
Then the output quantity every fuzzy rule being drawn is according to maximum membership degree---and mean value method carries out sharpening, show that the clear value of output variable in fuzzy domain is 0, again this value is transformed into working control amount through transformation of scale, show that working control amount is zero.
Therefore,, in the time that a sampling period internal power increases 15W, solar panel can not carry out angular setting.From working control experience, the solar panel that rated power is 200W, in the time that the fluctuation of 15W occurs power, can think to belong to normal fluctuation substantially, does not need solar panels angle to adjust.Therefore can think that this is controlled is automatically rationally effectively.
Use the initial stage in control system, can control according to above-mentioned rule.But in use,, due to the setting angle of solar panel and from different places, actual control effect may be different.
Therefore, preferably control effect in order to obtain, in the present embodiment, fuzzy control model also comprises: fuzzy rule generation unit 39, for recording the parameter regulated value under adjustment state, generate available fuzzy control rule according to parameter regulated value, and be stored in rule base.Now, user can be by the method for manual adjustments, solar panels are adjusted to more reasonably angle, system can record process and the parameters of manual adjustments automatically, and automatically generate customization fuzzy rule, customization fuzzy rule can not come into force, and needing just can become formal fuzzy control rule through the process of checking and screening.
Fig. 4 shows according to the principle schematic of the fuzzy rule generation unit of embodiment of the present invention angle of solar cell panel control system.As shown in Figure 4, fuzzy rule generation unit 39 mainly comprises: parameter judging unit 391, for recording the parameter regulated value under adjustment state, judge whether the output power value of the current solar panel that parameter regulated value is corresponding is greater than the output power value of the last record, when judged result is when being, generate the first fuzzy control rule, i.e. customization fuzzy rule; Rule authentication unit 393, taking the damping capacity Δ P of power and the variable quantity d Δ P/dt of damping capacity as input variable, judge whether the first fuzzy control rule repeatedly occurs, when the first fuzzy control rule repeatedly occurs, judge that the first fuzzy control rule is available fuzzy control rule; Rule adding device 395, adds available fuzzy control rule to rule base, becomes fuzzy control rule formal in rule base.
Wherein, regular adding device 395 also for: whether the predetermined fuzzy control rule that judges available fuzzy control rule and rule base there is contradiction; In the time of predetermined fuzzy control rule contradiction in available fuzzy control rule and rule base, the predetermined fuzzy control rule in rule base is replaced with to applicable rule.
In the time that applicable rule is multiple and has contradiction, rule adding device also for: respectively taking the damping capacity Δ P of power and the variable quantity d Δ P/dt of damping capacity as input variable, calculate the intensity of multiple available fuzzy control rules, wherein, the intensity of each available fuzzy control rule is that input variable is in the first fuzzy reasoning subset mapping value corresponding to each available fuzzy control rule, mapping value in the second fuzzy reasoning subset and the product of fuzzy control value, the method multiplying each other by degree of membership by these rules is carried out intensity calculating, just can draw the intensity of every statement, then, the available fuzzy control rule of intensity level maximum is added into rule base.
Fig. 5 shows according to the flow chart of data processing figure of the fuzzy rule generation unit of embodiment of the present invention angle of solar cell panel control system.
Wherein, in the present embodiment, step S401 is realized by parameter judging unit 391 to step S409, and step S410 is realized by regular authentication unit 393 to step S413, and step S414 is realized by regular adding device 395 to step S421.
As shown in Figure 5, the processing procedure of fuzzy rule generation unit 39 comprises:
S401, manual operation.
Particularly, user can manual adjustments angle of solar cell panel.
S402, record data.
Be system log (SYSLOG) user operating process, record moment, power variation, power variation rate, the data such as rotational angle.
S403, after decision operation, whether power increases.Be to go to step S404, otherwise go to step S405.
S404, calculates Δ P and d Δ P/dt before and after adjusting.
S405, deletes this secondary data.
S406, transformation of scale.
S407, by the obfuscation of maximum membership degree method.
S408, generates customization fuzzy rule.
S409, calculating strength.Particularly, by calculating input variable, the mapping value in the first fuzzy reasoning subset mapping value, the second fuzzy reasoning subset of this rule correspondence and the product of fuzzy control value obtain this regular intensity.
To step S409, if performance number increases after manually adjusting, illustrate that it is successful this time manually adjusting at step S403.By the data that collect,, be mapped in corresponding fuzzy subset each variable obfuscation by the method for maximum membership degree, regeneration customization fuzzy rule, i.e. the first fuzzy control rule calculates this regular intensity simultaneously.
S410, judges whether to repeat 3 times.Be to go to step S412, otherwise go to step S411.
S411, preserve this rule but inoperative.
S412, upgrades to applicable rule.
S413, calculates mean intensity.
To step S413, mainly realize the checking to customization fuzzy rule at step S410.The availability of the number of times proof rule repeating by decision rule, if a customization rule repeats 3 times, thinks that this rule is available fuzzy control rule.Calculate this regular mean intensity (i.e. the arithmetic mean of three recurring rule intensity) simultaneously.Although the basis for estimation of mentioning is in the present embodiment for repeating 3 times, this number of times also can be according to user's the multiplicity that need to be set as other.
S414, judges whether and initial rules contradiction.Be to go to step S416, otherwise go to step S415.
S415, deletes applicable rule.
S416, replaces initial rules.
S417, judges whether and other applicable rule contradiction.Be to go to step S419, otherwise go to step S418.
S418, upgrades to formal rule.
S419, relatively mean intensity.
S420, mean intensity the greater is called formal rule.
In step S414 to S420, mainly realize the choosing of deleting to applicable rule.If the predetermined fuzzy control rule in available fuzzy control rule and rule base, i.e. initial rules, result difference in the time that condition is identical, means that two rules exist contradiction, retain applicable rule, deletion rule.If two a rule and another rule exist contradiction in available fuzzy control,, by comparing the method for mean intensity, retain the larger rule of mean intensity.If the predetermined fuzzy control rule in available fuzzy control rule and rule base repeats, remove this available fuzzy control rule.
S421, finishes.Available fuzzy control rule is stored in rule base 31.
The adjustment process of adjusting taking a user below, as example, is simply introduced the processing procedure of the fuzzy control model in the present embodiment.
Calculate with solar panels rated power 200W, suppose t0 sometime, start manually to adjust, before adjusting, second from the bottom power samples value is 113W, before adjusting, last power samples value is 130W, after adjustment starts, sampled power is 158W for the first time, after adjustment completes, sampled power is 172W for the first time, adjusting angle is that negative sense 10 is spent, can calculate while adjustment, △ P=158W-130W=28W, d △ P/dt=△ P-(130W-113W)=11W, because power before power ratio adjustment after adjusting is large, therefore can think that this time adjusting is rationally effectively, can generate the first fuzzy control rule, it is customization fuzzy rule.
△ P and d △ P/dt are carried out after transformation of scale, be mapped in fuzzy domain, then calculate the degree of membership in each fuzzy subset according to membership function, can show that the value of △ P in fuzzy domain is 2.1, respectively corresponding two fuzzy subset: PB(2.1)=0.1, PM(2.1)=0.9, the subset of degree of membership maximum is PM, therefore by fuzzy △ P center, the i.e. PM of turning to; Same method, can draw respectively corresponding two fuzzy subset: PB=0.1 of d △ P/dt, PS=0.9, the subset of degree of membership maximum is PS, therefore by fuzzy d △ P/dt turn to just little.Output variable is-10 degree, and carrying out that transformation of scale is mapped to after fuzzy domain is-1.33, and the degree of membership in two fuzzy subsets is respectively: NB=0.33, NS=0.67, according to maximum membership grade principle, fuzzy output quantity turning to born to little (NS), therefore can draw following fuzzy rule:
If (*) △ P is center, and d △ P/dt is for just little, and angular setting is little for bearing.
Can calculate this regular intensity is 0.9*0.9*0.67=0.5427 simultaneously.
If rule (*) repeats 3 times, explanation rule (*) is through reasonably rule of artificial experience checking, now rule (*) is upgraded to available fuzzy control rule.If the number of times that rule (*) repeats is no more than 3 times, can think that this rule is the rule with contingency, does not deal with.
Discussion rule below (*) upgrades to the situation of available fuzzy control rule, because this rule is conflicting with initial rules 3, therefore needs with regular (*) substitution rule 3, and now rule (*) upgrades to formal rule.
If now there is another available fuzzy control rule---rule (#), conflict with rule (*), need to contrast both mean intensities, get the greater and retain as formal rule.
In the present embodiment, realize certainly adjusting of fuzzy rule by fuzzy rule generation unit 39, can make adaptability and the intelligent enhancing greatly of control strategy.Meanwhile, artificial self-setting function participates in the formulation of control strategy people, but does not need again the knowledge of programming accordingly
As can be seen from the above description, the above embodiments of the present invention have realized following technique effect:
By fuzzy control model is set, according to predetermined fuzzy control rule, utilize the output power value of solar panel to obtain the angular adjustment value of solar panel, control accuracy is higher, thereby can and photo-sensitive cell is not set on solar panel time, still can realize the accurate control of angular setting.
Meanwhile, the present invention judges according to the performance number of the actual generation of solar panel in the sampling period whether it reaches maximum conversion efficiency, adopts novel fuzzy control, has higher precision.
And, because control system of the present invention has self-setting function, there is usable range widely, the impact on it such as minimizing environment.Artificial self-setting function participates in the formulation of control strategy people, but does not need again the knowledge of programming accordingly.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (9)
1. an angle of solar cell panel control system, is characterized in that, comprising:
Detection module (10), obtains the output power value of current solar panel and the output power value of the last record, calculates the variable quantity (d Δ P/dt) of damping capacity (Δ P) and the described damping capacity of power;
Fuzzy control model (30), taking the damping capacity (Δ P) of described power and the variable quantity (d Δ P/dt) of described damping capacity as input variable, calculates the angular adjustment value of described solar panel by predetermined fuzzy control rule;
Angular adjustment module (50), according to the angular adjustment value of described solar panel, regulates the level angle adjustment member of described solar panel or vertical angle adjustment member to rotate predetermined angular.
2. angle of solar cell panel control system according to claim 1, is characterized in that, described fuzzy control model (30) comprising:
Rule base (31), comprises multiple predetermined fuzzy control rules;
Converting unit (33), taking the damping capacity (Δ P) of described power and the variable quantity (d Δ P/dt) of described damping capacity as input variable, described input variable is carried out to Fuzzy processing, form the first fuzzy reasoning subset corresponding with the damping capacity (Δ P) of described power and the second fuzzy reasoning subset corresponding with the variable quantity (d Δ P/dt) of described damping capacity;
Fuzzy reasoning unit (35), according to described predetermined fuzzy control rule, carries out fuzzy reasoning logical operation to described the first fuzzy reasoning subset and the second fuzzy reasoning subset, draws fuzzy reasoning control subset;
Ambiguity solution unit (37), by after described fuzzy reasoning control subset ambiguity solution, obtains the angular adjustment value of described solar panel.
3. angle of solar cell panel control system according to claim 2, it is characterized in that, described converting unit (33) adopts following formula to carry out Fuzzy processing to described input variable, obtains the mapping value n of described input variable in described the first fuzzy reasoning subset or the second fuzzy reasoning subset:
Wherein, N is the fuzzy domain limit value of input variable and output variable, in the time that input variable is described power attenuation amount (Δ P), gets 3, when input variable is the variable quantity (d △ P/dt) of described power attenuation amount, gets 2;
P is described solar panel power-handling capability;
K is error scale factor, in the time of damping capacity (Δ P) that input variable is power, gets 0.2, when input variable is the variable quantity (d △ P/dt) of power attenuation amount, gets 0.1;
X is the value of described input variable.
4. according to the angle of solar cell panel control system described in claim 2 or 3, it is characterized in that, described ambiguity solution unit (37) adopts mean value method to carry out fuzzy judgement to described fuzzy reasoning control subset and obtains fuzzy control value, and obtains the angular adjustment value of described solar panel according to described fuzzy control value passing ratio conversion.
5. angle of solar cell panel control system according to claim 4, is characterized in that, by following formula, described fuzzy control value is carried out to transformation of scale:
Wherein, the angular adjustment value that θ is described solar panel, n ' is described fuzzy control value.
6. according to the angle of solar cell panel control system described in any one in claims 1 to 3, it is characterized in that, described fuzzy control model (30) also comprises:
Fuzzy rule generation unit (39), for recording the parameter regulated value under adjustment state, generates available fuzzy control rule according to described parameter regulated value, and is stored in described rule base.
7. angle of solar cell panel control system according to claim 6, is characterized in that, described fuzzy rule generation unit (39) comprising:
Parameter judging unit (391), be used for recording described parameter regulated value, whether the output power value that judges the current solar panel that parameter regulated value is corresponding is greater than the output power value of the last record, when described judged result is when being, and generation the first fuzzy control rule;
Rule authentication unit (393), taking the damping capacity (Δ P) of described power and the variable quantity (d Δ P/dt) of described damping capacity as input variable, judge whether described the first fuzzy control rule repeatedly occurs, when described the first fuzzy control rule repeatedly occurs, judge that described the first fuzzy control rule is described available fuzzy control rule;
Rule adding device (395), adds described available fuzzy control rule to described rule base.
8. angle of solar cell panel control system according to claim 7, is characterized in that, described regular adding device (395) also for:
Judge whether the described predetermined fuzzy control rule in described available fuzzy control rule and described rule base exists contradiction;
In the time of described predetermined fuzzy control rule contradiction in described available fuzzy control rule and described rule base, the described predetermined fuzzy control rule in described rule base is replaced with to applicable rule.
9. angle of solar cell panel control system according to claim 8, is characterized in that, described regular adding device (395) also for:
In the time that described applicable rule is multiple and has contradiction, respectively taking the damping capacity (Δ P) of described power and the variable quantity (d Δ P/dt) of described damping capacity as input variable, calculate the intensity of described multiple available fuzzy control rules, wherein, the intensity of each described available fuzzy control rule is the mapping value of described input variable in each described available fuzzy control rule corresponding the first fuzzy reasoning subset mapping value, the second fuzzy reasoning subset and the product of described fuzzy control value;
The described available fuzzy control rule of described intensity level maximum is added into described rule base.
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| CN106202696A (en) * | 2016-07-07 | 2016-12-07 | 张升泽 | The power preprocess method of electronic chip and system |
| WO2018006307A1 (en) * | 2016-07-07 | 2018-01-11 | 张升泽 | Power-related pre-processing method and system for electronic chip |
| CN107045282A (en) * | 2017-02-22 | 2017-08-15 | 天长市天尚清洁能源有限公司 | Solar automatic tracking system and method based on single chip microcomputer fuzzy control algorithm |
| CN107888137B (en) * | 2017-12-15 | 2024-03-12 | 辽宁工业大学 | Solar thermoelectric power generation device and control method thereof |
| CN108151096B (en) * | 2017-12-26 | 2019-11-01 | 北京毫米科技有限公司 | A kind of range hood fan method for controlling number of revolution based on fuzzy control |
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