CN104633863B - A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System - Google Patents

A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System Download PDF

Info

Publication number
CN104633863B
CN104633863B CN201510059538.4A CN201510059538A CN104633863B CN 104633863 B CN104633863 B CN 104633863B CN 201510059538 A CN201510059538 A CN 201510059538A CN 104633863 B CN104633863 B CN 104633863B
Authority
CN
China
Prior art keywords
room temperature
temperature
control
value
coefficient
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510059538.4A
Other languages
Chinese (zh)
Other versions
CN104633863A (en
Inventor
周新生
石永军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WUXI COM-SHIP ELECTRONIC INDUSTRIAL Co Ltd
Original Assignee
WUXI COM-SHIP ELECTRONIC INDUSTRIAL Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by WUXI COM-SHIP ELECTRONIC INDUSTRIAL Co Ltd filed Critical WUXI COM-SHIP ELECTRONIC INDUSTRIAL Co Ltd
Priority to CN201510059538.4A priority Critical patent/CN104633863B/en
Publication of CN104633863A publication Critical patent/CN104633863A/en
Application granted granted Critical
Publication of CN104633863B publication Critical patent/CN104633863B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/10Temperature
    • 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
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • 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
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • 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
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61Control or safety arrangements characterised by user interfaces or communication using timers
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00Control inputs relating to system states
    • F24F2140/20Heat-exchange fluid temperature

Abstract

The invention discloses a kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System, coil temperature, room temperature, EC motor speeds, proportion magnetic valve opening information are sampled using timer timing, and filtering process is carried out, obtain effective sampled value;By the working condition of the change judgement system of sample information;Then according to Self-tuning System coefficient form, table look-up obtain need adjustment proportionality coefficient, integral coefficient, differential coefficient, and EC motors and proportion magnetic valve control weight;Temperature deviation, integrated value and differential value are calculated, and the coefficient obtained according to tabling look-up calculates the rotating speed of EC motors and the open angle of proportion magnetic valve;EC motors and proportion magnetic valve is finally driven to reach desirable value.The present invention controls EC motors and proportion magnetic valve by the discrete pid algorithm of Self-tuning System, that is, control the cold and air quantity of air-conditioning system, and room can be made to be rapidly achieved target set temperature, and cold is consumed and the state of supplement stabilization is run can be maintained at system.

Description

A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System
Technical field
The invention belongs to central air-conditioning controller field, and in particular to a kind of center based on the discrete pid algorithm of Self-tuning System Air conditioning control method.
Background technology
The motor that current most central air-conditioning controller is used is third gear tap motor, PG motors or BLDC electricity Machine, water valve is the magnetic valve of two-wire system or three-wire system, and the control algolithm of use has ON-OFF, PI to adjust control etc..
Using the air-conditioning of ON-OFF control modes, there is the shortcomings of room temperature fluctuation is big, and comfortableness is not high, its controlling party Formula is as shown in Figure 1.Under this control mode, when room temperature Tr drops to Ts- Δ T, water valve can be closed, when Tr gos up, When can always be raised to Ts+ Δ T, now water valve can just be opened, and due to the inertia of temperature, now room temperature Tr can also rise one Point, then can just decline.This ON-OFF control modes change in which can make the high temperature in room, there is larger control behavior excessively.
The controller controlled using PI regulations there is also the problem more than comparing, and system suitability is not high, has in certain occasion Relatively good control effect, changes to after other occasions and larger control behavior excessively occurs, or even in certain extreme cases can There is vibration, in addition it is also necessary to the PI parameter adjustments being directed to, do not possess versatility.In addition, adjusting variable-flow simultaneously using PI and becoming wind During amount, it may appear that unmatched situation, the fluctuation of indoor temperature is caused.Traditional pid algorithm is as shown in Fig. 2 wherein Kp It is proportionality coefficient, Ki is differential coefficient, and Kd is integral coefficient.
The content of the invention
Above mentioned problem present in control algolithm for existing central air-conditioning controller, the present invention proposes a kind of base In the central air-conditioner control method of the discrete pid algorithm of Self-tuning System.
In order to achieve the above object and effect, the present invention uses following technology contents:
A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System, comprises the following steps:
Step 1, the multiple time margins of definition, using timer when each time margin arrives to coil temperature, room temperature Degree, EC motor speeds, proportion magnetic valve opening information are sampled, and carry out filtering process, obtain effective sampled value;
Step 2, is weighted to the sampled value of coil temperature and room temperature and obtains room temperature and coil temperature, Room temperature and setting value are compared and are calculated difference, coil temperature and room temperature are compared and is calculated difference Value;Repeat the above steps, the room temperature difference that multiple repairing weld is obtained carries out accumulation calculating;
Step 3, judges the working condition of system, including step 3-1 to 3-4;Step 3-1, when judging whether to reach control Between, if reaching control time, step 3-2 is carried out, if not reaching control time, carry out step 7;Step 3-2, according to room Between the accumulated value of temperature gap judge whether system vibrates, if vibration, carries out step 3-3, if do not vibrated, carry out step 3-4;Step 3-3, determines whether Parameter adjustable, if it has, carry out step 4, if it did not, adjustment time nargin and counting again Each parameter is calculated, step 4 is then carried out;Step 3-4, judges whether system is optimal, if being optimal, carries out step 7, if It is not optimal, carries out step 4;
Step 4, the calculated value according to step 2 is carried out to the tuning coefficient table of pid parameter Kp, Ki, Kd and control weight Kq Inquiry, obtains needing Proportional coefficient K p, integral coefficient Ki, the differential coefficient Kd of adjustment, and EC motors and proportion magnetic valve Control weight Kq;Each tuning coefficient table is as follows:
Proportional coefficient K p tables in PID setting parameters are:
△ T the time 10s 20s 40s 1min 2min 5min 10min
0.5℃ 0.2 0.2 0.2 0.3 0.3 0.3 0.3
1℃ 0.5 0.5 0.5 0.5 0.4 0.4 0.4
1.5℃ 1 0.9 0.9 0.8 0.8 0.7 0.6
2℃ 2 1.9 1.8 1.6 1.4 1.2 1
3℃ 5 4.5 4 3.5 3 2.5 2
4℃ 10 9 8 7 6 5 4
6℃ 20 18 16 14 12 10 8
Integral coefficient Ki tables in PID setting parameters are:
△ T the time 10s 20s 40s 1min 2min 5min 10min
0.5℃ 0 0 0 0 0 0 0
1℃ 0.25 0.23 0.21 0.19 0.16 0.13 0.1
1.5℃ 0.5 0.45 0.4 0.35 0.3 0.25 0.2
2℃ 1 0.9 0.8 0.7 0.6 0.5 0.4
3℃ 2 1.7 1.5 1.3 1.1 0.9 0.6
4℃ 3 2.7 2.4 2 1.6 1.2 0.8
6℃ 4 3.5 3 2.5 2 1.5 1
Differential coefficient Kd tables in PID setting parameters are:
△ T the time 10s 20s 40s 1min 2min 5min 10min
0.5℃ 1 1 1 1 1 1 1
1℃ 2 2 2 2 1 1 1
1.5℃ 4 4 3 3 3 2 2
2℃ 6 5 5 4 4 3 3
3℃ 8 7 7 6 5 5 4
4℃ 10 9 8 8 7 6 5
6℃ 12 11 10 9 8 7 6
Control weight Kq tables are:
△Tp 6℃ 9℃ 12℃ 14℃ 16℃ 17℃ 18℃
Kq 1.5 1.25 1.1 1 0.9 0.8 0.7
In above-mentioned each table, △ T represent room temperature difference, and △ Tp represent coil pipe temperature gap;
Step 5, calculates temperature deviation Δ e (t) and its integrated value 1/S and differential value d Δs e (t)/dt, is determined according to step 4 Parameter, the rotating speed of EC motors and the open angle of proportion magnetic valve are calculated by following equation;
Δ U (t)=Kp* Δ e (t)+Ki*1/S+Kd*d Δs e (t)/dt;
EC rotating speeds=last time EC rotating speed * (1+ control weights * Δs U (t));
Valve opening=last time aperture * (1+ control weights * Δs U (t));
Step 6, drives EC motors, proportion magnetic valve to reach the calculated value of step 5;
Step 7, control terminates.
The present invention at least has the advantages that:
1st, the present invention controls EC motor speeds and proportion magnetic valve, that is, control using the discrete pid algorithm of Self-tuning System The cold and air quantity of air-conditioning system, make room be rapidly achieved target set temperature, and system is maintained at cold consumption and is supplemented The state operation of stabilization.
2nd, the present invention is assisted using many motors control device composition industrial field control bus network using industrial popular Modbus View, meets " Modbus Application Protocol V1.1B " specification.
3rd, the present invention supports not shut down the various control parameters of setting by Modbus networks, and comes into force in real time.Especially It is motor blast velocity control parameter, solenoid valve control parameter, the setting of pid control parameter so that the controller turns into air-conditioning The intelligent end of Internet of Things.Cloud computing is carried out by upper bit platform, the control parameter that will be calculated is sent to controller in real time, So that controller is constantly in optimal state operation.
Other objects of the present invention and advantage can from disclosed herein technology contents be further understood.For Above and other objects, features and advantages of the invention can be become apparent, special embodiment below simultaneously coordinates institute's accompanying drawing Formula is described in detail below.
Brief description of the drawings
Fig. 1 is the central air-conditioning controller method of operation figure under existing ON-OFF control modes.
Fig. 2 is existing pid algorithm block diagram.
Fig. 3 is pid algorithm block diagram of the present invention.
Fig. 4 is control method flow chart of the invention.
Fig. 5 is the central air-conditioning controller method of operation figure under control mode of the present invention.
Specific embodiment
Next will transmit through embodiment and coordinate institute's accompanying drawings, illustrate that the present invention has innovation compared with prior art, enters The unique technology part such as step or effect, enables those of ordinary skill in the art to realize according to this.It should be noted that, the common skill in this area Art personnel are in lower carried out modification without departing from the spirit and change, all without departing from protection category of the invention.
Room central air-conditioning refrigeration system, is by closed room, surface cooler, circulated refrigerated water, circulated air, external heat spoke The system for the composition such as penetrating.System flows through surface cooler by chilled water, then is given out the cold that surface cooler absorbs by circulated air Come, the heat of outside heat radiation is resisted, so that room temperature is constant.The central air-conditioning controller of present invention design seeks to The flow of chilled water and the air quantity of circulated air are controlled simultaneously so that the temperature in room is rapidly reached the target temperature of setting, and makes System tends towards stability, and control room is in a delicate poised state with most economical air quantity and chilled-water flow, and reach To the purpose of energy-saving and noise-reducing.
Surface cooler is an important part in air-conditioning system, and what is flowed through in coil pipe is chilled water, with room By the wind of circulation come positive energy exchange, so that air themperature is reduced, the temperature of water is raised hot-air.To expire in the process Sufficient heat balance principle, it is known that amount is the flow q (kg/s) of chilled water, the air quantity f (kg/s) of circulation.The data model of foundation is such as Under:
The equation of heat balance in room is:
In formula:Tin is indoor return air temperature, and Tout is indoor leaving air temp, and f is the air quantity of air-supply, and Cin becomes for Indoor Temperature Change coefficient, experiment coefficient, C is air-supply experiment coefficient, and Qi is the energy wastage in bulk or weight in room, including External Heat Flux and heat transfer band The sums such as the heat for coming, the heat that spontaneous hot object is distributed in room.
The leaving air temp of air-conditioning is:Tout=Tin1-(Tin1-Tiw)Es+(1-Ev)(Tin-Tin1)
In formula:Tin1 is the wet-bulb temperature of indoor return air, and Tiw is chilled water inflow temperature, and Ev is that heat exchanger is available Heat exchanger effectiveness, Es is heat exchange efficiency.
Heat exchange efficiency is:
In formula:β=KF/f ψ, γ=f ψ/mc, K are the coefficient of heat transfer, and laboratory determines that F is heat exchanger area (m2), and ψ is The average proportions constant of enthalpy difference and wet-bulb temperature difference, typically takes 2.86 and is calculated, and c is the specific heat (j/kg*k) of water, and m is freezing The flow of water.
Assuming that the size of heat exchanger is it has been determined that the flow velocity of chilled water is fixed, the inflow temperature of chilled water is also solid Fixed, by above formula as can be seen that the change of room temperature is related to air circulation and chilled-water flow, the stream of chilled water Amount is bigger, and heat exchange efficiency is higher, while air circulation is bigger, the efficiency of heat exchange is also higher.
The temperature change in room is single order dead-time system, and the temperature of air outlet will be transmitted to whole room, have one Long stabilization process.Currently a popular solution has two kinds:One kind is chilled water variable flow system, and another kind is to become wind Amount system.Chilled water variable flow system is the purpose for changing flow to reach using Frequency Converter Control water pump.Variable air volume system is adopted The purpose of change indoor circulation wind speed is reached with air door or speed-changing draught fan etc., but uses common speed-changing draught fan, noise can be brought Big problem.
Also it is variable water flow system and air quantity system present invention employs the system for changing water-carrying capacity and air quantity simultaneously.System Using the regulation algorithm of Discrete PI D, the air quantity and uninterrupted for needing regulation are calculated, the rotating speed and electromagnetism of control EC motors can The aperture of regulating valve.By calculating certain presetting amount, the retardance of delay system data acquisition is made up.Surveyed by laboratory Take temperature bright, common PID regulation algorithms, the influence to temperature change is larger, can produce larger toning.And use of the invention The discrete pid algorithm of Self-tuning System, the effect of regulation is preferable.
The control process of PID is:
Wherein, Δ e (t) is temperature deviation, and Δ U (t) is the regulated quantity of output, and Kp is proportional control factor, and Ki is integration Adjustment factor, Kd is differential adjustment factor.According to room equation of heat balance above can calculate need regulation wind speed and Chilled-water flow, is then converted to PWM drive signal, drives EC motors and ratio adjusting valve.
Because system is a single order dead-time system, the flow of the wind speed and chilled water of changing blower fan can not change immediately Become the temperature in room.Meanwhile, the temperature of chilled water can also change with the change of load, extraneous heat radiation also can the moment not Together, so the system is a unstable nonlinear system, it is vulnerable to the factor influence in the external world.Therefore, how to adjust to make System becomes more stable just very crucial, and the PID of common mode regulation will make the system become unstable, there is larger mistake Punching.Temperature in view of room will not undergo mutation, therefore the regulation of wind speed and chilled-water flow also just there is no need excessive, institute Will be smaller with the Kp for selecting, Ki than larger, thus can temperature in a period of time all the time deviation in the situation of setting value Reflect, increase regulated quantity.In order to be able to predict the change of future temperature, a less Kd value will be selected, can so protected The suddenly change of temperature is demonstrate,proved, the stabilization of room temperature is can guarantee that again.It is a process for Self-tuning System to select these parameters.Additionally, Adjust the cycle of temperature data acquisition, it is also possible to the preferable control effect of producing ratio.
The present invention uses fuzzy self-adjusting control, according to the experimental data of history, it is determined that in varied situations Tuning coefficient, and they are organized into four forms.Including:Three three-dimensional tables, the first dimension of form is the room of sampling Between temperature and design temperature difference, the second dimension is the time margin of temperature sampling, the third dimension be pid parameter setting valve (Kp, Ki, Kd);And a control weight form for two dimension, the first dimension of form is the difference of the coil temperature with room temperature of sampling Value, the second dimension is the setting valve Kq of control weight.
Proportional coefficient K p forms in PID setting parameters are as follows:
△ T the time 10s 20s 40s 1min 2min 5min 10min
0.5℃ 0.2 0.2 0.2 0.3 0.3 0.3 0.3
1℃ 0.5 0.5 0.5 0.5 0.4 0.4 0.4
1.5℃ 1 0.9 0.9 0.8 0.8 0.7 0.6
2℃ 2 1.9 1.8 1.6 1.4 1.2 1
3℃ 5 4.5 4 3.5 3 2.5 2
4℃ 10 9 8 7 6 5 4
6℃ 20 18 16 14 12 10 8
Integral coefficient Ki forms in PID setting parameters are as follows:
△ T the time 10s 20s 40s 1min 2min 5min 10min
0.5℃ 0 0 0 0 0 0 0
1℃ 0.25 0.23 0.21 0.19 0.16 0.13 0.1
1.5℃ 0.5 0.45 0.4 0.35 0.3 0.25 0.2
2℃ 1 0.9 0.8 0.7 0.6 0.5 0.4
3℃ 2 1.7 1.5 1.3 1.1 0.9 0.6
4℃ 3 2.7 2.4 2 1.6 1.2 0.8
6℃ 4 3.5 3 2.5 2 1.5 1
Differential coefficient Kd forms in PID setting parameters are as follows:
△ T the time 10s 20s 40s 1min 2min 5min 10min
0.5℃ 1 1 1 1 1 1 1
1℃ 2 2 2 2 1 1 1
1.5℃ 4 4 3 3 3 2 2
2℃ 6 5 5 4 4 3 3
3℃ 8 7 7 6 5 5 4
4℃ 10 9 8 8 7 6 5
6℃ 12 11 10 9 8 7 6
Control weight Kq forms are as follows:
△Tp 6℃ 9℃ 12℃ 14℃ 16℃ 17℃ 18℃
Kq 1.5 1.25 1.1 1 0.9 0.8 0.7
As shown in figure 4, algorithm of the invention employs a timer for 1ms benchmark, regularly to coil temperature, room temperature Degree, EC motor speeds, proportion magnetic valve opening information are sampled, and carry out corresponding filtering process, are effectively sampled Value.
In one embodiment, 10 seconds, 20 seconds, 40 seconds, 1 minute, 2 minutes, 5 minutes, 10 minutes totally 7 time are defined Nargin.
Take the temperature sampling value 10 divided equally in each time margin, such as T1~T10, wherein, T1 represents the last time Sampled value, T10 represents time in the past sampled value most long.According to following formula, calculated room temperature Tr:Tr=(10*T1+9*T2+ 8*T3+7*T4+6*T5+5*T6+4*T7+3*T8+2*T9+T10)/55.According to following formula, calculated room temperature and design temperature Ts Difference DELTA T:Heating mode:Δ T=| Tr-Ts |;Refrigeration mode:Δ T=| Ts-Tr |.Using same method, placing is calculated The difference DELTA Tp of pipe temperature Tp, coil temperature and room temperature.Additionally, also needing to calculate the room temperature difference that multiple repairing weld is obtained The accumulated value of △ T.
Then, the working condition of current system is judged by the change of above-mentioned sample information.For example, whether judging system Vibration, if whether the accumulated value of △ T shows system oscillation, it is determined that have under current time nargin higher than the threshold value of setting Parameter adjustable, no then adjustment time nargin simultaneously recalculates each parameter, and then calculated value is tabled look-up.If do not vibrated, Judge whether system is optimal again, if not, being tabled look-up according to calculated value.
Next, according to the four tuning coefficient forms for providing above, tabling look-up and obtaining the Proportional coefficient K p, the product that need adjustment Point COEFFICIENT K i, differential coefficient Kd, and EC motors and proportion magnetic valve control weight Kq.Usage right control weight Kq in the present invention The reason for parameter is:Because the data tested are tested in the environment of standard, if the change of coil temperature will cause The change of heat exchange efficiency, appropriate adjustment weight can be such that system more optimizes, and reach faster and impose a condition and keep.
The timing of current time margin then, calculates Δ e (t), integrated value and differential value, then foundation is currently tabled look-up The coefficient for obtaining calculates the rotating speed of EC motors and the open angle of proportioning valve.The control of the discrete pid algorithm of Self-tuning System of the present invention Process is as shown in Figure 3.
The present invention controls the rotating speed of EC motors and opening for electromagnetism adjustable valve using the discrete pid control algorithm of Self-tuning System Degree, the air quantity and cold of air-conditioning system are adjusted with this.But light these controls are inadequate, due to cost in terms of consideration, control The chip of device processed can not be excessively expensive from excessively complicated and price, so its Self tuning control is that have limitation.In order to complete The effect of PID control is played, precise controlling is realized, it is in itself inadequate to depend controller alone, so the present invention also needs to establishment one Individual industrial field control network, cloud computing is carried out by the powerful data acquisition of upper bit platform and computing function, calculates control The optimal control parameter of device processed, downloads parameters to controller and performs by control protocol.The central air-conditioning controller is employed The Modbus agreements of popular conventional, and meet the latest specification of " Modbus Application Protocol V1.1B ".
Controller comprising inventive algorithm is arranged on fan coil, and is tested under lab, as a result shown, this The discrete pid algorithm of Self-tuning System of invention has preferable adaptive process, once due to certain external disturbance, laboratory temperature occurs Disturbance, when deviation setting value is larger, system can balance quickly room temperature.The various different feelings of actual test During condition, such as 28 DEG C and 25 DEG C refrigeration of design temperature, when 18 DEG C and 21 DEG C of design temperature is heated, system can be highly stable Work, the fluctuation of room temperature is smaller.The extreme situation of simulation, when causing control process oscillatory process occur, by system certainly The adjustment of tuning coefficient, system can also be settled out again, with good control effect.Using the discrete of Self-tuning System of the present invention The method of operation of the central air-conditioning controller of pid algorithm is as shown in Figure 5.
Above-described is only the preferred embodiment of the present invention, the invention is not restricted to above example.It is appreciated that this Other improvement and change that art personnel directly derive or associate without departing from the spirit and concept in the present invention Change, be considered as being included within protection scope of the present invention.

Claims (2)

1. a kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System, it is characterised in that comprise the following steps:
Step 1, the multiple time margins of definition, using timer when each time margin arrives to coil temperature, room temperature, EC Motor speed, proportion magnetic valve opening information are sampled, and carry out filtering process, obtain effective sampled value;
Step 2, is weighted to the sampled value of coil temperature and room temperature and obtains room temperature and coil temperature, by room Between temperature and setting value be compared and be calculated difference, coil temperature and room temperature are compared and are calculated difference; Repeat the above steps, the room temperature difference that multiple repairing weld is obtained carries out accumulation calculating, and the room temperature difference is described The difference of room temperature and the setting value;
Step 3, judges the working condition of system, including step 3-1 to 3-4;
Step 3-1, judges whether to reach control time, if reaching control time, step 3-2 is carried out, if not reaching control Time processed, carry out step 7;
Step 3-2, the accumulated value according to room temperature difference judges whether system vibrates, if vibration, carries out step 3-3, such as Fruit is not vibrated, and carries out step 3-4;
Step 3-3, determines whether Parameter adjustable, if it has, carry out step 4, if it did not, adjustment time nargin and counting again Each parameter is calculated, step 4 is then carried out;
Step 3-4, judges whether system is optimal, if being optimal, carries out step 7, if not optimal, carries out step 4;
Step 4, the calculated value according to step 2 is inquired about the tuning coefficient table of pid parameter Kp, Ki, Kd and control weight Kq, Obtain need adjustment Proportional coefficient K p, integral coefficient Ki, differential coefficient Kd, and EC motors and proportion magnetic valve control Weight Kq;Each tuning coefficient table is as follows:
Proportional coefficient K p tables in PID setting parameters are:
△ T the time 10s 20s 40s 1min 2min 5min 10min 0.5℃ 0.2 0.2 0.2 0.3 0.3 0.3 0.3 1℃ 0.5 0.5 0.5 0.5 0.4 0.4 0.4 1.5℃ 1 0.9 0.9 0.8 0.8 0.7 0.6 2℃ 2 1.9 1.8 1.6 1.4 1.2 1 3℃ 5 4.5 4 3.5 3 2.5 2 4℃ 10 9 8 7 6 5 4 6℃ 20 18 16 14 12 10 8
Integral coefficient Ki tables in PID setting parameters are:
Differential coefficient Kd tables in PID setting parameters are:
△ T the time 10s 20s 40s 1min 2min 5min 10min 0.5℃ 1 1 1 1 1 1 1 1℃ 2 2 2 2 1 1 1 1.5℃ 4 4 3 3 3 2 2 2℃ 6 5 5 4 4 3 3 3℃ 8 7 7 6 5 5 4 4℃ 10 9 8 8 7 6 5 6℃ 12 11 10 9 8 7 6
Control weight Kq tables are:
△Tp 6℃ 9℃ 12℃ 14℃ 16℃ 17℃ 18℃ Kq 1.5 1.25 1.1 1 0.9 0.8 0.7
In above-mentioned each table, △ T represent room temperature difference, and △ Tp represent coil pipe temperature gap;
Step 5, calculates temperature deviation Δ e (t) and its integrated value 1/S and differential value d Δs e (t)/dt, according to the ginseng that step 4 determines Number, the rotating speed of EC motors and the open angle of proportion magnetic valve are calculated by following equation;
Δ U (t)=Kp* Δ e (t)+Ki*1/S+Kd*d Δs e (t)/dt;
EC rotating speeds=last time EC rotating speed * (1+ control weights * Δs U (t));
Valve opening=last time aperture * (1+ control weights * Δs U (t));
Step 6, drives EC motors, proportion magnetic valve to reach the calculated value of step 5;
Step 7, control terminates.
2. the central air-conditioner control method based on the discrete pid algorithm of Self-tuning System according to claim 1, it is characterised in that Circular in the step 1 and step 2 is:
Define 10s, 20s, 40s, 1min, 2min, 5min, 10min totally 7 time margins;Take what is divided equally in each time margin 10 room temperature sampled value T1~T10, wherein, T1 represents the last sampled value, and T10 represents that time in the past is most long and adopts Sample value;According to following formula calculated room temperature Tr:Tr=(10*T1+9*T2+8*T3+7*T4+6*T5+5*T6+4*T7+3*T8+2* T9+T10)/55;If Ts is design temperature, according to following formula calculated room temperature and the difference DELTA T of design temperature:Δ T=| Tr-Ts |;Using same method, the difference DELTA Tp of coil temperature Tp and coil temperature and room temperature is calculated;If multiple repairing weld meter The room temperature for obtaining respectively Tri, i=1,2, then 3 ... n, the room temperature difference that multiple repairing weld is calculated are remembered respectively It is Δ Ti=| Tri-Ts |, i=1,2,3 ... n calculate each △ Ti sums.
CN201510059538.4A 2015-02-04 2015-02-04 A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System Active CN104633863B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510059538.4A CN104633863B (en) 2015-02-04 2015-02-04 A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510059538.4A CN104633863B (en) 2015-02-04 2015-02-04 A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System

Publications (2)

Publication Number Publication Date
CN104633863A CN104633863A (en) 2015-05-20
CN104633863B true CN104633863B (en) 2017-06-09

Family

ID=53212902

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510059538.4A Active CN104633863B (en) 2015-02-04 2015-02-04 A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System

Country Status (1)

Country Link
CN (1) CN104633863B (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA3007974C (en) * 2015-12-10 2020-09-29 Emerson Electric Co. Adaptive control for motor fan with multiple speed taps
CN107014028A (en) * 2016-01-28 2017-08-04 珠海格力电器股份有限公司 Freeze the control method of water valve
CN105824781A (en) * 2016-04-06 2016-08-03 北方民族大学 Method and system for acquiring PID (Proportion Integration Differentiation) self-tuning parameter of positioner
CN106679121B (en) * 2017-02-13 2019-03-12 河南中烟工业有限责任公司 A kind of stabilization humidifying controlling method based on PID control
CN106802552A (en) * 2017-03-30 2017-06-06 北京新能源汽车股份有限公司 A kind of control method of automobile air conditioner motor, device and automobile
CN107178868B (en) * 2017-04-20 2019-07-26 深圳达实智能股份有限公司 A kind of hospital clinic fan coil wind speed and cooling capacity inter-linked controlling method and device
CN107329509B (en) * 2017-07-21 2020-05-05 广东美的环境电器制造有限公司 Electric heater and temperature control method and device thereof
CN107783423B (en) * 2017-10-25 2020-03-27 珠海格力电器股份有限公司 PID parameter self-tuning method and device based on machine learning
CN108958308A (en) * 2018-07-27 2018-12-07 合肥工业大学智能制造技术研究院 Relay feedback Self-tuning System method controls the humidity control method combined with differential forward

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1598427A (en) * 2004-09-09 2005-03-23 贵州汇诚科技有限公司 Method for fuzzy expected controlling cold water system of central air conditioner
CN2919095Y (en) * 2005-12-19 2007-07-04 东莞市广大制冷有限公司 Energy compensated accurate air-conditioner
CN101672509A (en) * 2009-09-02 2010-03-17 东莞市广大制冷有限公司 Air-conditioning control technique with variable air quantity based on enthalpy value control
CN101806484A (en) * 2010-04-06 2010-08-18 南京航空航天大学 Variable air volume air-conditioner control system with variable frequency fan and digital air valve for adjusting tail end air volume and implementation method
CN102032640A (en) * 2009-09-25 2011-04-27 西安西翼智能科技有限公司 Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner
CN102052734A (en) * 2009-11-03 2011-05-11 海尔集团公司 Air conditioning unit energy control device and method
CN102927666A (en) * 2012-11-30 2013-02-13 天津市金硕科技投资集团有限公司 Intelligent control system and method of central air-conditioner
CN104019526A (en) * 2014-06-24 2014-09-03 河海大学常州校区 Fussily self-adaptive PID temperature and humidity control system and method based on improved PSO (Particle Swarm Optimization) algorithm

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4177600B2 (en) * 2002-05-22 2008-11-05 株式会社山武 Air conditioning control method and air conditioning control device

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1598427A (en) * 2004-09-09 2005-03-23 贵州汇诚科技有限公司 Method for fuzzy expected controlling cold water system of central air conditioner
CN2919095Y (en) * 2005-12-19 2007-07-04 东莞市广大制冷有限公司 Energy compensated accurate air-conditioner
CN101672509A (en) * 2009-09-02 2010-03-17 东莞市广大制冷有限公司 Air-conditioning control technique with variable air quantity based on enthalpy value control
CN102032640A (en) * 2009-09-25 2011-04-27 西安西翼智能科技有限公司 Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner
CN102052734A (en) * 2009-11-03 2011-05-11 海尔集团公司 Air conditioning unit energy control device and method
CN101806484A (en) * 2010-04-06 2010-08-18 南京航空航天大学 Variable air volume air-conditioner control system with variable frequency fan and digital air valve for adjusting tail end air volume and implementation method
CN102927666A (en) * 2012-11-30 2013-02-13 天津市金硕科技投资集团有限公司 Intelligent control system and method of central air-conditioner
CN104019526A (en) * 2014-06-24 2014-09-03 河海大学常州校区 Fussily self-adaptive PID temperature and humidity control system and method based on improved PSO (Particle Swarm Optimization) algorithm

Also Published As

Publication number Publication date
CN104633863A (en) 2015-05-20

Similar Documents

Publication Publication Date Title
CN104633863B (en) A kind of central air-conditioner control method based on the discrete pid algorithm of Self-tuning System
CN107328026B (en) Blower control method and device, air-conditioner outdoor unit
US9261288B2 (en) Air conditioning system for adjusting temperature and humidity
Soyguder et al. Predicting of fan speed for energy saving in HVAC system based on adaptive network based fuzzy inference system
FI92868B (en) Method and system for controlling heat transfer in a ventilation or air conditioning plant
CN204313390U (en) A kind of low temperature refrigeration of air conditioner system
CN106225361A (en) Aperture control method, device and the frequency changing refrigeration system of a kind of electric expansion valve
CN104913445B (en) Control method, the control system of blower fan gear and the air conditioner of blower fan gear
JP4422572B2 (en) Cold / hot water control method for cold / hot heat source machine
EP3306216B1 (en) Control device for heat-pump-using system, and heat-pump-using system provided with same
JP2008256258A (en) Air conditioning system control device
JP2004218879A (en) Air conditioner and its control method
KR20090010888A (en) Air conditioning control device and air conditioning control method
CN105423500A (en) Control method of air conditioner, control system of air conditioner and air conditioner
CN106440267B (en) Air conditioner energy saving control method
Jiang et al. Research on the control laws of the electronic expansion valve for an air source heat pump water heater
JP4166051B2 (en) Air conditioning system
CN107255342A (en) A kind of control method of indoor apparatus of air conditioner
CN107388882A (en) The multi fan of cooling tower sprays collaboration fuzzy control method more
CN106765908B (en) Air conditioner energy saving control method
CN107781946A (en) The heat-production control method of convertible frequency air-conditioner
CN107655140A (en) A kind of air conditioning control method and device
Homod et al. PID-cascade for HVAC system control
CN105605748A (en) Wind-water joint adjusting control method and system for air conditioning system
Hartman Designing efficient systems with the equal marginal performance principle

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant