CN110375425A - Air-conditioning system and its control method, control equipment, computer readable storage medium - Google Patents

Air-conditioning system and its control method, control equipment, computer readable storage medium Download PDF

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CN110375425A
CN110375425A CN201910661237.7A CN201910661237A CN110375425A CN 110375425 A CN110375425 A CN 110375425A CN 201910661237 A CN201910661237 A CN 201910661237A CN 110375425 A CN110375425 A CN 110375425A
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control
parameter
air
conditioning system
processor
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CN110375425B (en
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于昊
李元阳
阎杰
罗彬�
梁锐
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GD Midea Heating and Ventilating Equipment Co Ltd
Shanghai Meikong Smartt Building Co Ltd
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Midea Group Co Ltd
GD Midea Heating and Ventilating Equipment Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/88Electrical aspects, e.g. circuits
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/89Arrangement or mounting of control or safety devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

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  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
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  • Pure & Applied Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Fuzzy Systems (AREA)
  • Air Conditioning Control Device (AREA)
  • Feedback Control In General (AREA)

Abstract

The present invention provides a kind of control method of air-conditioning system, control equipment, storage medium and air-conditioning systems, wherein, air-conditioning system is delay system, air-conditioning system includes control equipment and air conditioner, controlling equipment includes processor, control method includes: to be fitted processing by operation trend of the processor to the output parameter of air conditioner, obtains trend curve data;Processor predicts according to trend curve data in the case where keeping current control parameter constant, the prediction output parameter in next control period;Processor determines that prediction output parameter reaches stable, according to the deviation of prediction output parameter and setting value, runs Fuzzy PID.By the mechanism for introducing control periodic time self-adapting adjustment on the basis of Fuzzy PID, stable state after being adjusted every time according to the real-time forecasting system of the operation data of air conditioner, it is adaptive to choose the reasonable control period, improve the control effect and stability of Fuzzy PID.

Description

Air-conditioning system and its control method, control equipment, computer readable storage medium
Technical field
The present invention relates to air-conditioning technical fields, set in particular to a kind of control method of air-conditioning system, a kind of control Standby, a kind of computer readable storage medium and a kind of air-conditioning system.
Background technique
PID (ratio (proportion), integral have been all made of in most of Heating,Ventilating and Air Conditioning frequency-converting speed-governing control systems (integral), differential (differential)) control.Traditional PID control, which has, to be had the advantages of simple structure and easy realization, calculating process The features such as simple, therefore be widely applied.But in practical applications, traditional PID control needs to carry out complicated and time-consuming Parameter tuning process needs to carry out a large amount of on-line operation test, if the improper control precision that will lead to of parameter selection is low, stablizes The problems such as property is poor, and overshoot is serious.When in face of having the big system of the characteristics such as non-linear, time-varying, large time delay, will exist certain Limitation.In contrast, fuzzy control has non-linear, time-varying, the control object of lag, and has good dynamic characteristic, But due to its intrinsic characteristic, the case where often there are certain steady-state error or concussions near setting value.And will more than Two kinds of control methods combine the Fuzzy PID formed while having taken into account both the above algorithm advantage, and can overcome the disadvantages that Respective deficiency, to have better control effect.
As shown in Figure 1, fuzzy-adaptation PID control utilizes fuzzy logic inference according to real-time control deviation E and control deviation Change rate Ec carries out real-time optimization to parameter Kp, Ki, Kd of PID control, overcomes the traditional PI D to need artificial on-line debugging with this And once parameter fixation of coming into operation can not adjust in real time the problem of.Fuzzy-adaptation PID control includes formulation and the reverse of fuzzy rule It is gelatinized two processes.General fuzzy is using the form of 2 input, 3 output, and wherein input quantity is control deviation E and control deviation Change rate Ec, output quantity are three parameters Kp, Ki, Kd of PID control.However Fuzzy PID is applied to non-linear When time-varying Large-lag System, if the selection of control period is improper, Fuzzy PID can equally have diverging and not restrain The case where, the fuzzy rule for manually adjusting pid control parameter is still needed for different types of system, adaptability is poor.
Summary of the invention
The present invention is directed at least solve one of the technical problems existing in the prior art.
The first aspect of the present invention provides a kind of hysteretic control approach.
The second aspect of the present invention provides a kind of control equipment.
The third aspect of the present invention provides a kind of computer readable storage medium.
The fourth aspect of the present invention provides a kind of air-conditioning system.
In view of this, according to the first aspect of the invention, providing a kind of control method of air-conditioning system, air-conditioning system is Delay system, air-conditioning system include control equipment and air conditioner, and control equipment includes processor, the control method packet of air-conditioning system It includes: processing being fitted by operation trend of the processor to the output parameter of air conditioner, obtains trend curve data;Processor According to the prediction of trend curve data in the case where keeping current control parameter constant, the prediction in next control period exports ginseng Number;Processor determines that prediction output parameter reaches stable, according to the deviation of prediction output parameter and setting value, runs fuzzy Control algolithm.
The control method of air-conditioning system provided in an embodiment of the present invention, by drawing on the basis of Fuzzy PID Enter to control the mechanism of periodic time self-adapting adjustment, the stabilization shape after adjusting every time according to the real-time forecasting system of the operation data of air conditioner State, it is adaptive to choose the reasonable control period, it can guarantee to control equipment waiting system in control process close to stable state Start control process next time again afterwards, reduce the case where there is control output concussion for a long time even diverging do not restrain can Can, further increase the control effect and stability of Fuzzy PID.
In addition, the control method of the air-conditioning system in the above-mentioned technical proposal provided according to the present invention, can also have as Lower additional technical feature:
In the above-mentioned technical solutions, it is preferable that predicted keeping current control parameter not according to trend curve in processor In the case where change, it is next control the period prediction output parameter the step of after, the control method of air-conditioning system further include: place It manages device and determines that prediction output parameter is not up to stablized, obtain the output parameter in next control period, and repeat and pass through The step of processor is fitted processing to the operation trend of the output parameter of air conditioner, obtains trend curve data.
In any of the above-described technical solution, it is preferable that by processor to the operation trend of the output parameter of air conditioner into Row process of fitting treatment, the step of obtaining trend curve data, comprising: processor obtains multiple template curve data;Pass through processor Multiple template curve data degree of being fitted is examined;Processor selectes trend curve data from multiple template curve data, The degree of fitting of trend curve data is higher than the degree of fitting of other template curve data.
In any of the above-described technical solution, it is preferable that processor determines that prediction output parameter reaches stable operation, wraps Include: processor determines that prediction output parameter and the absolute value of the difference of the last output parameter obtained are less than variable quantity threshold value.
In any of the above-described technical solution, it is preferable that according to the deviation of prediction output parameter and setting value, operation is fuzzy The operation of pid control algorithm, comprising: control deviation and control deviation according to prediction output parameter relative to setting value change Rate determines fuzzy parameter;Control parameter is determined according to control deviation and fuzzy parameter.
In any of the above-described technical solution, it is preferable that determine the step of control parameter according to control deviation and fuzzy parameter Suddenly, comprising: control parameter increment is determined according to control deviation and fuzzy parameter;According to current control parameter and control parameter Increment determines control parameter.
In any of the above-described technical solution, it is preferable that determine control ginseng according to current control parameter and control parameter increment Several steps includes: Correction and Control parameter increase, and determines control according to current control parameter and revised control parameter increment Parameter processed is stablized with enabling output parameter deviate.
In any of the above-described technical solution, it is preferable that the operation of Correction and Control parameter increase, comprising: increase control parameter Absolute value the greater in amount and delta threshold is as revised control parameter increment.
According to the second aspect of the invention, a kind of control equipment, including memory and processor, memory configuration are provided To store computer program;Processor is configured to execute the computer program of storage to realize as described in any of the above-described technical solution Air-conditioning system control method the step of, thus with the air-conditioning system control method whole advantageous effects, This is repeated no more.
According to the third aspect of the invention we, a kind of computer readable storage medium is provided, computer journey is stored thereon with Sequence realizes the step of the control method of the air-conditioning system as described in any of the above-described technical solution when computer program is executed by processor Suddenly, thus with the air-conditioning system control method whole advantageous effects, details are not described herein.
According to the fourth aspect of the invention, a kind of air-conditioning system, including air conditioner are provided;And such as above-mentioned technical proposal institute The control equipment stated or computer readable storage medium as described in the above technical scheme, thus have the control equipment or be somebody's turn to do Whole advantageous effects of computer readable storage medium, details are not described herein.Specifically, air conditioner is central air-conditioning.
Additional aspect and advantage according to the present invention will provide in following description section, partially will be from following description In become obvious, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures Obviously and it is readily appreciated that, in which:
Fig. 1 shows the control logic figure of Fuzzy PID in the related technology;
Fig. 2 shows the schematic flow diagrams of the control method of the air-conditioning system of one embodiment of the present of invention;
Fig. 3 shows the subordinating degree function curve of control deviation in the fuzzy rule of one embodiment of the present of invention;
The subordinating degree function that Fig. 4 shows control deviation change rate in the fuzzy rule of one embodiment of the present of invention is bent Line;
Fig. 5 shows the subordinating degree function of the variable quantity DKp of parameter Kp in the fuzzy rule of one embodiment of the present of invention Curve;
Fig. 6 shows the subordinating degree function of the variable quantity DKi of parameter Ki in the fuzzy rule of one embodiment of the present of invention Curve;
Fig. 7 shows the subordinating degree function of the variable quantity DKd of parameter Kd in the fuzzy rule of one embodiment of the present of invention Curve;
Fig. 8 shows the variable quantity DKp's of the control deviation of one embodiment of the present of invention, control deviation change rate and Kp Relational graph;
Fig. 9 shows the variable quantity DKi's of the control deviation of one embodiment of the present of invention, control deviation change rate and Ki Relational graph;
Figure 10 shows the variable quantity DKd of the control deviation of one embodiment of the present of invention, control deviation change rate and Kd Relational graph;
Figure 11 shows the schematic flow diagram of the control method of the air-conditioning system of a specific embodiment of the invention;
Figure 12 shows the trend curve fitting schematic diagram of a specific embodiment of the invention;
Figure 13 shows another trend curve fitting schematic diagram of a specific embodiment of the invention;
Figure 14 shows the schematic flow diagram of the control method of the air-conditioning system of another embodiment of the invention;
The change curve of actual temperature and set temperature when Figure 15 shows the control temperature of one embodiment of the present of invention;
Figure 16 shows the structural schematic diagram of the control equipment of one embodiment of the present of invention.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real Applying mode, the present invention is further described in detail.It should be noted that in the absence of conflict, the implementation of the application Feature in example and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also Implement in a manner of using other than the one described here, therefore, protection scope of the present invention is not by following public tool The limitation of body embodiment.
The embodiment of first aspect present invention provides a kind of control method of air-conditioning system, and air-conditioning system is lag system System, air-conditioning system include control equipment and air conditioner, and control equipment includes processor.
Fig. 2 shows the schematic flow diagrams of the control method of the air-conditioning system of one embodiment of the present of invention.Such as Fig. 2 institute Show, the control method of the air-conditioning system includes:
S102 is fitted processing by operation trend of the processor to the output parameter of air conditioner, obtains trend curve Data;
S104, processor is predicted according to trend curve data in the case where keeping current control parameter constant, next Control the prediction output parameter in period;
S106, processor determines that prediction output parameter reaches stable, according to the deviation of prediction output parameter and setting value, fortune Row Fuzzy PID.
The control method of air-conditioning system provided in an embodiment of the present invention, by drawing on the basis of Fuzzy PID The mechanism for entering to control periodic time self-adapting adjustment, according to the operation data of air conditioner (specific system parameter, such as temperature, pressure, Corresponding operation data, as above-mentioned output parameter) stable state after forecasting system is adjusted every time in real time, adaptive selection The reasonable control period can guarantee that control equipment waiting system starts next time again close to after stable state in control process Control process, reduce and control output the concussion for a long time even possibility of diverging the case where not restraining occur, further increase mould Paste the control effect and stability of pid control algorithm.
Specifically, system parameter specific for one, when needing to be adjusted it, it is necessary to change its setting Value, implements to control equipment, it is necessary to export a control parameter relevant to setting value to air conditioner, such as freeze in operation Mode and when needing to change set temperature, can be using the valve position of expansion valve as control parameter, with the aperture of variable expansion valve, in turn Adjust cryogenic temperature.For a setting value, controls equipment and generally require to undergo control parameter more than once to export, related skill As soon as being usually the setting fixed control period in art, one control period of every experience changes a control parameter, this may Cause the corresponding output parameter of current control period is not yet stable to enter next control period, so that output parameter is for a long time Concussion even diverging does not restrain, and is unfavorable for controlling.The control method of air-conditioning system provided in an embodiment of the present invention is needing basis When new setting value executes control, a control period is initially entered, can first export a current control parameter, and accordingly acquire Output parameter can be specifically acquired according to the sampling period, and sampled result is saved in the buffer.Hereafter, buffering is utilized Sampled result in area fits the trend curve for being able to reflect the operation trend of output parameter, can be predicted in the current control of holding In the case where parameter constant processed, output parameter when next control end cycle will mutually to distinguish with actual output parameter Be denoted as prediction output parameter.If prediction output parameter can reach stable, it is believed that if keeping current control parameter constant, that In next control period, the variation of output parameter will very little, that is, tend towards stability, at this time in order to guarantee system response speed Degree, it should change control parameter in time, and at this time adjustment control parameter theoretically for will not cause output parameter for a long time Concussion even diverging does not restrain.Fuzzy just is run according to the deviation of prediction output parameter and setting value in this case Control algolithm, and air conditioner is controlled with counted control parameter in next control period, that is, true according to prediction result Determine to realize the adaptive adjustment in control period whether in modification of next control period control parameter.The control periodic time self-adapting Regulation mechanism is mainly directed towards large time delay problem present in central air conditioning system, can overcome system to a certain extent Lag issues, improve the stability and control effect of control output, while can make the same set of fuzzy of Fuzzy PID Rule has well adapting to property and versatility.
In some embodiments, it is predicted according to trend curve in the situation for keeping current control parameter constant in processor Under, it is next control the period prediction output parameter the step of after, the control method of air-conditioning system further include: processor determine It predicts that output parameter is not up to stablized, obtains the output parameter in next control period, and repeat through processor pair The step of operation trend of the output parameter of air conditioner is fitted processing, obtains trend curve data.
In this embodiment, the processing scheme when predicting that output parameter does not reach stable is further defined.At this time Think that not up to stable reason may be that the time is still short, and prediction output parameter is also not enough to be changed to stabilization, it is also possible to adopt The output parameter lazy weight of sample causes the trend curve of fitting improper, then the error of thus obtained prediction output parameter Also can be larger, it is unsuitable for running Fuzzy PID accordingly.By continuing to obtain the output ginseng in next control period Number, and trend curve is fitted again, the accuracy of the trend curve fitted can be improved, while extending prediction output parameter Transformation period is more conducive to obtain stable prediction output parameter, so as to guarantee that control object reaches asymptotically stability each time In the state of can just start PID next time and adjust, improve the control effect and stability of Fuzzy PID.It can be with Understanding, when fitted trend curve, used is collected whole output parameters corresponding to current control parameter, rather than The only output parameter in the last one control period, with the accuracy for the trend curve for ensuring to fit.
In some embodiments, processing is fitted by operation trend of the processor to the output parameter of air conditioner, obtained The step of to trend curve data, comprising: processor obtains multiple template curve data;By processor to multiple template curve Data degree of being fitted is examined;Processor selectes trend curve data from multiple template curve data, trend curve data Degree of fitting is higher than the degree of fitting of other template curve data.
In this embodiment, the scheme of fitted trend curve is specifically defined.By the way that a certain number of templates are arranged in advance Curve is directly examined these template curve degree of being fitted using the output parameter of sampling in fitting, and then is selected wherein Degree of fitting highest one is used as trend curve, carries out trend prediction, can reduce the complexity of algorithm, be easy in PLC It realizes and runs in (Programmable Logic Controller, programmable logic controller (PLC)).Further, it can establish A certain number of trend curve templates race, each trend curve template race include multiple template curves with similarity, with Just according to the feature selecting suitable trend curve template race of the output parameter of sampling, the quantity of the template curve of verification is reduced, Reduce calculated load.
In some embodiments, processor determines that prediction output parameter reaches stable operation, comprising: processor determines pre- The absolute value of the difference for surveying output parameter and the last output parameter obtained is less than variable quantity threshold value.
In this embodiment, it specifically defines and determines that prediction output parameter reaches stable scheme.For being predicted down One control period calculates the absolute value for the variable quantity that it predicts output parameter, that is, prediction output parameter and the last time The absolute value of the difference of the output parameter of acquisition, if the absolute value of the variable quantity is less than variable quantity threshold value, then it is assumed that prediction output ginseng Variation of the number in next control period will tend towards stability, and scheme is succinctly reliable.Specifically, variable quantity threshold value is for characterizing prediction Rational change range of the output parameter when tending towards stability, for different air-conditioning system and system parameter, value is not Together, can rule of thumb or test obtain.It is envisioned that in addition to utilizing prediction output parameter and the last output obtained The absolute value of the difference of parameter come determine prediction output parameter whether reach stablize it is outer, can also be used prediction output parameter with before this The absolute value of the difference of some representative output parameter determines whether to reach stable, if can reflect out predict it is defeated The variable condition of parameter out, this is equally embodiment of the present invention, is fallen into inventive concept of the invention, these realizations It would have been obvious for a person skilled in the art for mode and other achievable modes.
In some embodiments, according to the deviation of prediction output parameter and setting value, the behaviour of Fuzzy PID is run Make, comprising: control deviation and control deviation change rate according to prediction output parameter relative to setting value determine that fuzzy is joined Number;Control parameter is determined according to control deviation and fuzzy parameter.
It should be noted that, the calculating process of Fuzzy PID mainly includes three steps first:
The first step formulates subordinating degree function.
When being blurred, it is thus necessary to determine that the range of each fuzzy subset of universe of fuzzy sets simultaneously formulates subordinating degree function.If To the either element x in domain U, there is several A (x) ∈ [0,1] to be corresponding to it, then A is referred to as the fuzzy set on U, and A (x) claims It is x to the degree of membership of A.When x changes in U, A (x) is exactly a function, the referred to as subordinating degree function of A.Degree of membership A (x) is more The degree for belonging to A close to 1 expression x is higher, and A (x) is lower closer to the degree that 0 expression x belongs to A.With value in section (0, 1) membership function A (x) characterization x belongs to the degree height of A.Subordinating degree function is usually to be primarily determined according to the experience of operator , there are many kinds of common subordinating degree function shapes, and the embodiment of the present invention mainly uses triangular form, zmf (Z-type), smf (S type) Three kinds of forms.More gentle triangular membership functions are used in the biggish region of deviation, when deviation is smaller using more precipitous Triangular membership functions it is and with higher when deviation is smaller so that system has preferable robustness when deviation is larger Sensitivity.
Second step is related to control rule table.
Substantially, each fuzzy language controller includes the fuzzy rule of fixed form, and fuzzy rule will obscure Association is established between the subordinating degree function of the input and output of pid algorithm.In most systems, the regular exhibition generally in the form of such It is existing:
if A is PB and B is NM,then C is NB and D is PB,E is Z
In formula A, B indicate fuzzy set input, in Fuzzy PID, A, B respectively indicate control deviation E with Control deviation change rate Ec, C, D, E are output, three parameters Kp, Ki and Kd of corresponding PID.
As shown in Figure 3 and Figure 4, wherein control deviation E and control deviation become for the fuzzy rule input of Fuzzy PID The range of rate Ec is between -3 to 3.The fuzzy rule pid parameter variable quantity output of Fuzzy PID such as Fig. 5 extremely schemes Shown in 7, wherein the basic variation range of Kp is the basis variation model that the basic variation range of -3 to 3, Ki is -0.6 to 0.6, Kd It encloses between -1.5 to 1.5.The variation range of each parameter can be adjusted according to the actual situation in practical application.Fig. 3 extremely In Fig. 7, N is represented negative (negative), and P is represented positive (just), and Z is represented zero (zero), and S is represented small (small), and M is represented Medium (medium), B represent big (big).Fig. 8 to Figure 10 shows control deviation, control deviation change rate and three fuzzies Relationship between variable quantity DKp, DKi and DKd of parameter, first calculates to obtain DKp, DKi and DKd when to execute control, then respectively To Kp, Ki and Kd.
So far, the formulation of fuzzy rule is completed.
Third step, anti fuzzy method.
By being blurred that reasoning obtains the result is that a fuzzy output amount, it may be possible to be subordinate to the fuzzy of angle value comprising multiple Vector needs to convert fuzzy output amount to a determining numerical value at this time, needs the means using anti fuzzy method, this hair at this time Bright embodiment uses gravity model appoach and calculates the output of fuzzy set namely the variable quantity of pid parameter, obtains variable quantity output.
In this embodiment, specific to limit how to run Fuzzy PID.As previously mentioned, the embodiment of the present invention mentions Same set of fuzzy rule can be used in the control method of the air-conditioning system of confession, thus when actual motion Fuzzy PID, it can Fuzzy rule is not reenacted, and directly utilizes fuzzy rule, to predict deviation of the output parameter relative to setting value, including control Deviation E and control deviation change rate Ec determines fuzzy parameter, i.e. Kp, Ki and Kd as input, and the fuzzy is recycled to join Several and control deviation E determines control parameter to be output, executes control.Wherein, control deviation E is output parameter relative to setting The deviation of value, control deviation change rate Ec are then the change rate dE/dt of control deviation E, can constantly be obtained in sampling process simultaneously It is saved.
In some embodiments, the step of control parameter being determined according to control deviation and fuzzy parameter, comprising: according to Control deviation and fuzzy parameter determine control parameter increment;Control is determined according to current control parameter and control parameter increment Parameter.
In this embodiment, it further defines and how to determine control parameter.By combining control deviation and determining before this Fuzzy parameter determine control parameter increment, with characterize it is next control the period be suitable for control parameter relative to current Control the variable quantity of the current control parameter in period, so that it may which the control ginseng in next control period is obtained based on current control parameter Number.According to needs are calculated, it further includes control before this that control deviation herein, which is not limited to the control deviation of prediction output parameter, The control deviation in period in order to be contrasted, and then calculates control parameter increment.
Next the control of air-conditioning system provided in an embodiment of the present invention is introduced with a specific embodiment in conjunction with attached drawing 11 Method.
As shown in figure 11, the control method of the air-conditioning system of specific embodiment offer includes:
Step 1, the period to be controlled is waited, output parameter is during which sampled.
Step 2, after undergoing a control period, using least square method of recursion to the operation trend of the output parameter of system It is fitted.The basic function of least square method is y=a+becx, wherein a, b, c are the parameter to be recognized.Such as Figure 12 and Figure 13 institute Show, stain is the output parameter acquired according to the sampling period, and the curve that stain is surrounded is the trend curve fitted.Specifically Ground initially sets up a certain number of trend curve templates race, each trend curve template to improve the stability of fit procedure The basic function of template curve in race has equal c.Further according to trend curve template race basic function to the fortune of output parameter Row trend is fitted and chooses the highest template curve of wherein degree of fitting, as trend curve.
Step 3, the prediction output parameter in next control period is predicted according to trend curve, if prediction output parameter The absolute value of variable quantity is less than the variable quantity threshold value of setting, it is considered that current system tends towards stability, can start to execute fuzzy PID control otherwise waits for next control period, continues to execute the process of trend curve fitting and prediction, until system is stablized.
Step 4, when predicting system operation trend stabilization, according to current control deviation and control deviation change rate meter Each Parameters variation amount of Fuzzy PID is calculated, and three parameters of Fuzzy PID are updated, Zhi Houji Control parameter to be output.Specifically, control parameter increment Delta u is calculated first with following formula:
Δ u=Kp* (e (k)-e (k-1))+Ki*e (k)+Kd* (e (k) -2e (k-1)+e (k-2))
Wherein, e (k) is the control deviation for predicting output parameter, e (k-1) and e (k-2) be respectively current control period with And the control deviation of output parameter when this previous control end cycle, since system tends not to only undergo a control week Phase tends to stablize, so above three entry value can all obtain.
The current control parameter u ' of current control period is obtained again, then the control parameter in next control period to be output U meets u=u '+Δ u.
The algorithm can be transplanted in PLC, and be packaged into general interface function.
In some embodiments, the step of determining control parameter according to current control parameter and control parameter increment include: Correction and Control parameter increase, and control parameter is determined according to current control parameter and revised control parameter increment, it is defeated to enable Parameter drift-out is stablized out.
In this embodiment, hereafter corresponding defeated to enable by being modified to the counted control parameter of fuzzy PID algorithm Parameter first deviates stabilization out, that is, variable quantity is greater than variable quantity threshold value, and the control parameter of output may make to play air conditioner Enough regulating effects are realized and are effectively adjusted.The amendment to control parameter can be specifically realized by Correction and Control parameter increase.
In some embodiments, the operation of Correction and Control parameter increase, comprising: will be in control parameter increment and delta threshold Absolute value the greater as revised control parameter increment.
In this embodiment, Correction and Control parameter increase is specifically defined how.It is understood that control parameter increment It can be positive value, can also be negative value, correspond respectively to control parameter and increase and reduce relative to current control parameter.Pass through setting one A delta threshold compares counted control parameter increment with delta threshold, will wherein the biggish side of absolute value be used as most Whole control parameter increment, it is ensured that the control parameter of output is sufficiently large relative to the variation of current control parameter, to air-conditioning Device plays enough regulating effects, realizes and effectively adjusts.Delta threshold is enough to enable output parameter to deviate stable state for characterizing Smallest incremental, for different air-conditioning system and system parameter, value is different, can rule of thumb or test obtain.
In addition, the percentage that control parameter increment accounts for current control parameter can also be calculated first, as control parameter increment rate, And compared with an increment rate threshold value, such as increment rate threshold value is 5%, when counted control parameter increment rate is less than 5% Positive value when, when for example, 3%, just controlled by 5% control parameter increment rate, if more than 5%, for example, 6%, just pressed 6% control parameter increment rate is controlled.Its essence is identical as above scheme, as long as can reflect out control parameter increment Reasonability, this is equally embodiment of the present invention, is fallen into inventive concept of the invention, these implementations and other It would have been obvious for a person skilled in the art for achievable mode.
It is envisioned that in addition to above scheme first control parameter directly can be also exported according to calculated result, and keep At least one control period, if output parameter deviates from stabilization, then can continue with the control after undergoing this at least one control period Parameter processed is controlled, which just becomes new current control parameter.If after undergoing this at least one control period, Output parameter still maintains stable, then it is assumed that the control parameter does not play enough adjustment effects, can be in the subsequent control period In be gradually increased control parameter, until output parameter deviate stable state when, just continue to control with control parameter at that time, Control parameter at that time just becomes new current control parameter.Though the program does not use delta threshold directly, substantially It is to be increased when the absolute value of control parameter increment is less than normal, this is equally embodiment of the present invention, is fallen into of the invention In inventive concept, it would have been obvious for a person skilled in the art for these implementations and other achievable modes.
Figure 14 shows the schematic flow diagram of the control method of the air-conditioning system of another embodiment of the invention.Such as Figure 14 Shown, the control method of the air-conditioning system includes:
S202, processor acquire output parameter according to the sampling period within a control period;
S204, processor obtain multiple template curve data;
S206, whole output parameters of the air conditioner in conjunction with corresponding to current control parameter, by processor to multiple moulds Plate curve data degree of being fitted is examined;
S208, processor select trend curve data, the degree of fitting of trend curve data from multiple template curve data Higher than the degree of fitting of other template curve data;
S210, processor is predicted according to trend curve data in the case where keeping current control parameter constant, next Control the prediction output parameter in period;
S212, processor judge predict whether the absolute value of the difference of output parameter and the output parameter of the last time acquisition is small In variable quantity threshold value, if so, S214 is gone to, if it is not, then going to S222;
S214, control deviation and control deviation change rate of the processor according to prediction output parameter relative to setting value, really Cover half pastes pid parameter;
S216, processor determine control parameter increment according to control deviation and fuzzy parameter;
S218, processor are joined absolute value the greater in control parameter increment and delta threshold as revised control Number increment;
S220, processor determine control parameter according to current control parameter and revised control parameter increment;
S222, processor obtains the output parameter in next control period, and returns to S204.
As shown in figure 15, it by taking the temperature for controlling central air-conditioning as an example, illustrates using air-conditioning provided in an embodiment of the present invention When the control method of system, feelings that actual temperature (i.e. the output parameter of temperature) changes with set temperature (i.e. the setting value of temperature) Condition, wherein valve position is that when set temperature changes control parameter can be adjusted by adjusting valve position, in turn in control parameter Change actual temperature, is adjusted by valve position at least once, actual temperature can be enabled finally to be changed to equal with set temperature, completion pair The control of temperature.
As shown in figure 16, the embodiment of second aspect of the present invention provides a kind of control equipment 1, including memory 12 and place Device 14 is managed, memory 12 is configured to storage computer program;Processor 14 is configured to execute the computer program of storage to realize The step of control method of air-conditioning system as described in above-mentioned any embodiment, thus the control method with the air-conditioning system Whole advantageous effects, details are not described herein.
Specifically, memory 12 may include the mass storage for data or instruction.For example it rather than limits, Memory 12 may include hard disk drive (Hard Disk Drive, HDD), floppy disk drive, flash memory, CD, magneto-optic disk, magnetic The group of band or universal serial bus (Universal Serial Bus, USB) driver or two or more the above It closes.In a suitable case, memory 12 may include the medium of removable or non-removable (or fixed).In suitable situation Under, memory 12 can be inside or outside synthesized gateway disaster tolerance equipment.In a particular embodiment, memory 12 is non-volatile Solid-state memory.In a particular embodiment, memory 12 includes read-only memory (ROM).In a suitable case, which can ROM, programming ROM (PROM), erasable PROM (EPROM), electric erasable PROM (EEPROM), electricity to be masked edit program can Rewrite the combination of ROM (EAROM) or flash memory or two or more the above.
Above-mentioned processor 14 may include central processing unit (CPU) or specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more of the embodiment of the present invention A integrated circuit.
The embodiment of third aspect present invention provides a kind of computer readable storage medium, is stored thereon with computer journey Sequence realizes the step of the control method of the air-conditioning system as described in above-mentioned any embodiment when computer program is executed by processor Suddenly, thus with the air-conditioning system control method whole advantageous effects, details are not described herein.
Computer readable storage medium may include any medium for capableing of storage or transmission information.Computer-readable storage The example of medium include electronic circuit, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disk, CD-ROM, CD, hard disk, fiber medium, radio frequency (RF) link, etc..Code segment can be via the calculating of internet, Intranet etc. Machine network is downloaded.
The embodiment of fourth aspect present invention provides a kind of air-conditioning system, including air conditioner;And such as above-described embodiment institute The control equipment stated, or the computer readable storage medium as described in above-described embodiment, thus have the control equipment or the meter Whole advantageous effects of calculation machine readable storage medium storing program for executing, details are not described herein.Specifically, air conditioner is central air-conditioning.
In the description of this specification, term " connection ", " installation ", " fixation " etc. shall be understood in a broad sense, for example, " even Connect " it may be fixed connection or may be dismantle connection, or integral connection;It can be directly connected, it can also be in Between medium be indirectly connected.For the ordinary skill in the art, above-mentioned term can be understood at this as the case may be Concrete meaning in invention.
In the description of this specification, the description of term " one embodiment ", " some embodiments ", " specific embodiment " etc. Mean that particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one reality of the invention It applies in example or example.In the present specification, schematic expression of the above terms are not necessarily referring to identical embodiment or reality Example.Moreover, description particular features, structures, materials, or characteristics can in any one or more of the embodiments or examples with Suitable mode combines.
These are only the preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification, Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.

Claims (12)

1. a kind of control method of air-conditioning system, which is characterized in that the air-conditioning system is delay system, the air-conditioning system packet Control equipment and air conditioner are included, the control equipment includes processor, and the control method of the air-conditioning system includes:
It is fitted processing by operation trend of the processor to the output parameter of the air conditioner, obtains trend curve number According to;
The processor predicts next control in the case where keeping current control parameter constant according to the trend curve data The prediction output parameter in period processed;
The processor determines that the prediction output parameter reaches stable, according to it is described prediction output parameter and setting value it is inclined Difference runs Fuzzy PID.
2. the control method of air-conditioning system according to claim 1, which is characterized in that in the processor according to institute Trend curve prediction is stated in the case where keeping current control parameter constant, the step of the prediction output parameter in next control period After rapid, the control method of the air-conditioning system further include:
The processor determines that the prediction output parameter is not up to stablized, and obtains described defeated in next control period Parameter out, and repeat and described place is fitted by operation trend of the processor to the output parameter of the air conditioner The step of managing, obtaining trend curve data.
3. the control method of air-conditioning system according to claim 1 or 2, which is characterized in that described to pass through the processor The step of is fitted by processing, obtains trend curve data for the operation trend of the output parameter of the air conditioner, comprising:
The processor obtains multiple template curve data;
The multiple template curve data degree of being fitted is examined by the processor;
The processor selectes the trend curve data from the multiple template curve data, the trend curve data Degree of fitting is higher than the degree of fitting of other template curve data.
4. the control method of air-conditioning system according to claim 1 or 2, which is characterized in that the processor determines The prediction output parameter reaches stable operation, comprising:
The processor determines that the absolute value of the difference of the prediction output parameter and the output parameter of the last time acquisition is small In variable quantity threshold value.
5. the control method of air-conditioning system according to claim 1 or 2, which is characterized in that described defeated according to the prediction The deviation of parameter and setting value out runs the operation of Fuzzy PID, comprising:
Control deviation and control deviation change rate according to the prediction output parameter relative to the setting value, determine fuzzy Pid parameter;
Control parameter is determined according to the control deviation and the fuzzy parameter.
6. the control method of air-conditioning system according to claim 5, which is characterized in that it is described according to the control deviation and The step of fuzzy parameter determines control parameter, comprising:
Control parameter increment is determined according to the control deviation and the fuzzy parameter;
The control parameter is determined according to the current control parameter and the control parameter increment.
7. the control method of air-conditioning system according to claim 6, which is characterized in that described to be joined according to the current control Counting the step of determining the control parameter with the control parameter increment includes:
The control parameter increment is corrected, and is determined according to the current control parameter and the revised control parameter increment The control parameter is stablized with enabling the output parameter deviate.
8. the control method of air-conditioning system according to claim 7, which is characterized in that the amendment control parameter increases The operation of amount, comprising:
Using absolute value the greater in the control parameter increment and delta threshold as the revised control parameter increment.
9. a kind of control equipment characterized by comprising
Memory is configured to storage computer program;
Processor is configured to execute the computer program of storage to realize such as sky described in any item of the claim 1 to 8 The step of control method of adjusting system.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of control method such as air-conditioning system described in any item of the claim 1 to 8 is realized when being executed by processor.
11. a kind of air-conditioning system characterized by comprising
Air conditioner;And
Control equipment as claimed in claim 9 or computer readable storage medium as claimed in claim 10.
12. air-conditioning system according to claim 11, which is characterized in that
The air conditioner is central air-conditioning.
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