CN109839967A - A kind of PID tune energy efficiency temperature control method and module - Google Patents

A kind of PID tune energy efficiency temperature control method and module Download PDF

Info

Publication number
CN109839967A
CN109839967A CN201910069498.XA CN201910069498A CN109839967A CN 109839967 A CN109839967 A CN 109839967A CN 201910069498 A CN201910069498 A CN 201910069498A CN 109839967 A CN109839967 A CN 109839967A
Authority
CN
China
Prior art keywords
temperature
pid
value
energy efficiency
temperature control
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.)
Granted
Application number
CN201910069498.XA
Other languages
Chinese (zh)
Other versions
CN109839967B (en
Inventor
罗太阁
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.)
Guangdong Guosong Energy Technology Co.,Ltd.
Original Assignee
Guangdong Motomori Energy Technology 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 Guangdong Motomori Energy Technology Co Ltd filed Critical Guangdong Motomori Energy Technology Co Ltd
Priority to CN201910069498.XA priority Critical patent/CN109839967B/en
Publication of CN109839967A publication Critical patent/CN109839967A/en
Application granted granted Critical
Publication of CN109839967B publication Critical patent/CN109839967B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Control Of Temperature (AREA)
  • Feedback Control In General (AREA)

Abstract

The present invention relates to a kind of PID tune energy efficiency temperature control methods, target temperature value is set first, control the period, sampling period and threshold difference, promote load heating power, obtain controlled device current zone temperature sampled value, and the sampling period is combined to calculate temperature rise rate, union is adjusted to pid control parameter by the PSO-DE algorithm that particle swarm algorithm (PSO) and differential evolution algorithm (DE) combine, then the duty ratio of a control period output pulse is adjusted according to operation result, and then adjust heating power output, keep the temperature sampling value sampled approximately equal with the actual temperature value of controlled device, reduce temperature error brought by heating inertia, it can be precisely controlled heating power simultaneously, energy-saving effect is obvious;A kind of PID tune energy efficiency temperature control module, including above-mentioned PID tune energy efficiency temperature control method, can be precisely controlled heating power, energy-saving effect is obvious.

Description

A kind of PID tune energy efficiency temperature control method and module
Technical field
The present invention relates to energy efficiency temperature control fields, and in particular to a kind of PID tune energy efficiency temperature control method and mould Block.
Background technique
As the rapid development of sociaty and economy, modern industry energy consumption is continuously increased with production-scale expansion, wherein Hot type energy consumption accounts for very big specific gravity in industrial load energy consumption, in order to realize energy-saving developing goal, improves simultaneously Heating process is horizontal, higher and higher to the temperature control precision and power conservation requirement of hot type load.
The PID that simple, Yi Shixian is generallyd use with structure to temperature control in modern industrial production, responds the advantages such as fast Algorithm.Traditional PID control is to combine controlled device dynamic characteristic, carries out manual debugging by the experience of expert, has adjusted parameter No longer change, it is restricted larger.With the diversification of temperature-controlled environment and demand, increasingly complicated, the appearance of control system Some improved pid control algorithms directly complete parameter tuning according to the control effect of control object such as Z-N Self-tuning System algorithm It calculates, although improving temperature control precision, the parameter that will have been adjusted solidification is needed to be pre-stored in external storage.
It retrieves and finds for existing literature, document " the PID tune temperature based on PSO controls research " (Tian Yanbing;Chemical industry Automation and instrument) a kind of PID tune temprature control method based on PSO is proposed, it is relatively simple compared to traditional pid algorithm Single, accuracy of temperature control is high, does not need complicated program, but does not get rid of the locally optimal solution defect of PSO algorithm;Document " intelligence The design of Temperature Fuzzy Control PID system " a kind of design of Fuzzy Control scheme is proposed, dynamic property is good, but high-precision is controlled It is more many and diverse to make corresponding fuzzy rule.At the same time, the method that the research of existing literature majority improves accuracy of temperature control, it is warm to improving It controls precision and the method concern of reduction heating energy consumption combination is less.
Summary of the invention
Place, the present invention propose a kind of PID tune energy efficiency temperature control method against the above deficiency, are based on PSO-DE Algorithm Self-tuning System, and the advantage for combining differential evolution algorithm local search ability strong, solve PSO algorithm and easily fall into local optimum The problem of, operation then is carried out using pid parameter adjusted, and operation result is converted into a control period output pulse Duty ratio, and then adjust heating power output, keep the temperature sampling value sampled close with the actual temperature value of controlled device Patibhaga-nimitta etc. reduces temperature error brought by heating inertia, in addition, exporting the duty ratio of pulse because improving heating power Reduce, while improving temperature control precision, there is significant energy-saving effect.
The present invention also provides a kind of PID tune energy efficiency temperature control module, can improve simultaneously temperature control precision with And reduce heating energy consumption.
A kind of PID tune energy efficiency temperature control method, includes the following steps:
Step 1: data initialization, setting target temperature value, control period, sampling period and threshold difference;
Step 2: load heating power is promoted to improve controlled device current target regional temperature;
Step 3: controlled device current target regional temperature sampled value is obtained;
Step 4: the sampling period is combined to calculate temperature rise rate according to the temperature sampling value obtained in step 3;
Step 5: the temperature sampling value according to current time and temperature rise rate carry out the pid parameter based on PSO-DE certainly Adjusting;
Step 6: carrying out operation according to pid parameter adjusted, adjusts load heating power output, completes a power It adjusts;
Step 7: step 3 is repeated to step 6, until reaching the target temperature value.
Above-mentioned PID tune energy efficiency temperature control method, in step 1, to ensure temperature control precision, the control Period and sampling period processed are mainly set according to the volume of controlled device, initial temperature and function of environment heat emission rate.
Above-mentioned PID tune energy efficiency temperature control method, when setting target temperature value and current time temperature sampling value Difference be threshold difference when, this PID tune energy efficiency temperature control method starts to execute.
Above-mentioned PID tune energy efficiency temperature control method, the promotion load heating power is by promoting heating power supply Voltage is realized.
Above-mentioned PID tune energy efficiency temperature control method, in step 4, temperature rise rate H carries out temperature rise rate H The formula of calculating are as follows:
Wherein: tcon is the temperature sampling period, and Tc is Current Temperatures measured value, and Tb is the temperature before a sampling period Measured value.
Above-mentioned PID tune energy efficiency temperature control method, in step 5, it is described based on the pid parameter of PSO-DE from whole It is fixed that steps are as follows:
Pid parameter Kp, Ki, Kd initial value and range is arranged in A1;
A2, setting improve population N, dimension Nl, the number of iterations Tpso, the variation coefficient α of rapid particle swarm algorithm, accelerate Spend constant beta;
A3 initializes population, the initial position of each particle is randomly generated between 0-1;
A4 judges each particle Kp, Ki, Kd the stability of its closed-loop system under Current Temperatures and temperature rise rate, if Stablize, then according to setting value, acquires it for the steady-state error ess, regulating time ts, rise time tr, overshoot of step response The performance indicators such as σ % are measured, and calculate the fitness of each particle, find global optimum's fitness particle, position is denoted as Gbest, adaptive optimal control degree are denoted as fbest;
A5, particle position updates, and carries out differential evolution optimizing, recalculates the fitness function of particle, finds global Adaptive optimal control degree particle simultaneously updates gbest and fbest;The expression formula of location updating is as follows:
Xi(t)=Xi(t-1)+β·[gbest-Xi(t-1)]+α·rand(Nl).*scale
Wherein: Xi indicates the position vector of i-th of particle, and rand (Nl) indicates to generate 0 to 1 random number vector of Nl dimension, Scale indicates that the unknown variable of Nl dimension changes scaling vector (maximum value-minimum value);α is variation coefficient, random for adjusting Change the amplitude of fluctuation of item;β is acceleration constant, adjusts particle to global optimum's position flying distance amplitude;
A6 judges whether to meet termination condition:
T=Tpso
If met, terminate process, otherwise, and return step A4.
Above-mentioned PID tune energy efficiency temperature control method, fitness function is smaller, and particle fitness is more excellent, fitness Function specifically calculates as follows:
Wherein: k1, k2, k3 and k4 are respectively the weight of each performance indicator, are 30,10,20 according to the practical value of system, 40。
Above-mentioned PID tune energy efficiency temperature control method, in step A5, specific step is as follows for differential evolution optimizing:
B1 acquires centre individual vi (t) by mutation operation, and formula is as follows:
vi(t)=gbest (t)+m (Xr1(t)-Xr2(t))
Wherein, vi (t) is the flying speed of i-th of particle, and m ∈ [0,2] is weighted factor;
B2 obtains new population by crossover operation, increases particle populations diversity, and formula is as follows:
Wherein, ui (t) is obtained new individual, and CR ∈ [0,1] is mutation probability;
B3, calculates the fitness function value of new individual after crossover operation, to decide whether to select variation individual, formula is such as Under:
Wherein, φ (x) is fitness function.
Above-mentioned PID tune energy efficiency temperature control method, in step 6, the adjusting heating power output is by PID Operation result is converted to and exports pulse duty factor in a control period, and then controls the output of heating power.
A kind of PID tune energy-saving warm using PID tune energy efficiency temperature control method as described in any one of the above embodiments Spend control module, comprising:
Temperature sampling unit, for obtaining the temperature sampling value of controlled device current region;
Heating unit is loaded, for heating to controlled device current region;
Power ascension unit is electrically connected with heating power supply and load heating unit respectively, for promoting load heating power;
PID arithmetic unit is electrically connected with power ascension unit, for converting a control period for PID arithmetic result Interior output pulse duty factor, and then control heating power output.
The present invention has the beneficial effect that:
A kind of PID tune energy efficiency temperature control method, first setting target temperature value, control the period, the sampling period and Threshold difference promotes load heating power, obtains the temperature sampling value of controlled device current region, and the sampling period is combined to count Temperature rise rate is calculated, PID control is joined by the PSO-DE algorithm that particle swarm algorithm (PSO) and differential evolution algorithm (DE) combine It is several to be adjusted union, the duty ratio of a control period output pulse is then adjusted according to operation result, and then adjust and add Thermal power output keeps the temperature sampling value sampled approximately equal with the actual temperature value of controlled device, reduces heating inertia institute Bring temperature error is improving temperature control essence in addition, the duty ratio for exporting pulse reduces because improving heating power While spending, there is significant energy-saving effect;A kind of PID tune energy efficiency temperature control module, including above-mentioned PID tune section Energy temprature control method, because promoting heating power, this energy conservation temperature control modules export pulse duty factor and reduce, and are precisely controlled Heating power has significant energy-saving effect.
Detailed description of the invention
Fig. 1 is the flow chart of PID tune energy efficiency temperature control method of the invention;
Fig. 2 is the structural block diagram of PID tune energy efficiency temperature control module of the invention;
Using the electric heating of normal PID lgorithm city and using PID tune of the invention when Fig. 3 is specific implementation of the invention The module of energy efficiency temperature control method heating exports pulse diagram;
Using the electric heating of normal PID lgorithm city and using PID tune of the invention when Fig. 4 is specific implementation of the invention The controlled device temperature variation of energy efficiency temperature control method heating.
Specific embodiment
Below with reference to examples and drawings, the present invention is described in further detail, but embodiments of the present invention are not It is limited to this.
Shown in referring to Fig.1, a kind of PID tune energy efficiency temperature control method includes the following steps:
Step 1: data initialization, setting target temperature value, control period, sampling period and threshold difference;
Step 2: load heating power is promoted to improve controlled device current target regional temperature;
Step 3: controlled device current target regional temperature sampled value is obtained;
Step 4: the sampling period is combined to calculate temperature rise rate according to the temperature sampling value obtained in step 3;
Step 5: the temperature sampling value according to current time and temperature rise rate carry out the pid parameter based on PSO-DE certainly Adjusting;
Step 6: carrying out operation according to pid parameter adjusted, adjusts load heating power output, completes a power It adjusts;
Step 7: step 3 is repeated to step 6, until reaching the target temperature value.
Wherein, to ensure temperature control precision, the control period and sampling period mainly according to the volume of controlled device, Initial temperature and function of environment heat emission rate are set.In step 1, when setting target temperature value and current time temperature sampling When the difference of value is threshold difference, this PID tune energy efficiency temperature control method starts to execute.In step 2, the promotion It loads heating power and is realized by promoting heating power supply voltage.
In step 4, temperature rise rate H, the formula that temperature rise rate H is calculated are as follows:
Wherein: tcon is the temperature sampling period, and Tc is Current Temperatures measured value, and Tb is the temperature before a sampling period Measured value.
In step 5, steps are as follows for the pid parameter Self-tuning System based on PSO-DE:
Pid parameter Kp, Ki, Kd initial value and range is arranged in A1;
A2, setting improve population N, dimension Nl, the number of iterations Tpso, the variation coefficient α of rapid particle swarm algorithm, accelerate Spend constant beta;
A3 initializes population, the initial position of each particle is randomly generated between 0-1;
A4 judges each particle Kp, Ki, Kd the stability of its closed-loop system under Current Temperatures and temperature rise rate, if Stablize, then according to setting value, acquires it for the steady-state error ess, regulating time ts, rise time tr, overshoot of step response The performance indicators such as σ % are measured, and calculate the fitness of each particle, find global optimum's fitness particle, position is denoted as Gbest, adaptive optimal control degree are denoted as fbest;
A5, particle position updates, and carries out differential evolution optimizing, recalculates the fitness function of particle, finds global Adaptive optimal control degree particle simultaneously updates gbest and fbest;The expression formula of location updating is as follows:
Xi(t)=Xi(t-1)+β·[gbest-Xi(t-1)]+α·rand(Nl).*scale
Wherein: Xi indicates the position vector of i-th of particle, and rand (Nl) indicates to generate 0 to 1 random number vector of Nl dimension, Scale indicates that the unknown variable of Nl dimension changes scaling vector (maximum value-minimum value);α is variation coefficient, random for adjusting Change the amplitude of fluctuation of item;β is acceleration constant, adjusts particle to global optimum's position flying distance amplitude;
A6 judges whether to meet termination condition:
T=Tpso
If met, terminate process, otherwise, and return step A4.
Further, fitness function is smaller, and particle fitness is more excellent, and fitness function specifically calculates as follows:
Wherein: k1, k2, k3 and k4 are respectively the weight of each performance indicator, are 30,10,20 according to the practical value of system, 40。
In step A5, specific step is as follows for differential evolution optimizing:
B1 acquires centre individual vi (t) by mutation operation, and formula is as follows:
vi(t)=gbest (t)+m (Xr1(t)-Xr2(t))
Wherein, vi (t) is the flying speed of i-th of particle, and m ∈ [0,2] is weighted factor;
B2 obtains new population by crossover operation, increases particle populations diversity, and formula is as follows:
Wherein, ui (t) is obtained new individual, and CR ∈ [0,1] is mutation probability;
B3, calculates the fitness function value of new individual after crossover operation, to decide whether to select variation individual, formula is such as Under:
Wherein, φ (x) is fitness function.
In step 6, the adjusting heating power output is defeated in one control period to be converted to PID arithmetic result Pulse duty factor out, and then control the output of heating power.
PID tune energy efficiency temperature control method of the invention is based on PSO-DE algorithm Self-tuning System, and combines differential evolution The strong advantage of algorithm local search ability solves the problems, such as that PSO algorithm easily falls into local optimum, then using adjusted Pid parameter carries out operation, and operation result is converted to the duty ratio of a control period output pulse, and then adjust heating function The output of rate keeps the temperature sampling value sampled approximately equal with the actual temperature value of controlled device, reduces heating inertia institute band The temperature error come is improving temperature control precision in addition, the duty ratio for exporting pulse reduces because improving heating power While, there is significant energy-saving effect
Referring to shown in Fig. 2, energy efficiency temperature control module of the invention, using above-mentioned PID tune energy efficiency temperature controlling party Method can improve temperature control precision simultaneously and reduce heating energy consumption, as shown in Figure 2, energy efficiency temperature control module of the invention Include:
Temperature sampling unit, for obtaining the temperature sampling value of controlled device current region;
Heating unit is loaded, for heating to controlled device current region;
Power ascension unit is electrically connected with heating power supply and load heating unit respectively, for controlling load heating power;
PID arithmetic unit is electrically connected with power ascension unit, for converting a control period for PID arithmetic result Interior output pulse duty factor, and then control heating power output.
In practical applications, such as heating water in industrial production, industrial water tank volume is 1m3, initial temperature 40 DEG C, it is arranged 60 DEG C of target temperature, control period and sampling period are 2s, and setting threshold difference is 20 DEG C, are begun to warm up straight Target value is reached to temperature, using the electric heating of normal PID lgorithm city and uses PID tune energy efficiency temperature controlling party of the invention Two kinds of heating methods of method, the experimental results are shown inthe following table.
1 two kinds of heating method results of table
Referring to Fig. 3, Fig. 4 and table 1 it is found that using PID tune energy efficiency temperature control method heating of the invention and using The electric heating of normal PID lgorithm city is compared, because improving heating power, energy efficiency temperature control module output pulse duty factor subtracts It is small, heating power is accurately controlled, accuracy of temperature control is effectively increased, being computed can obtain, using PID tune energy-saving warm of the invention The energy consumption of degree control method heating has dropped 17%, and heating time also shortens about 68.3%, and energy-saving effect is significant.
The above description is only a preferred embodiment of the present invention, is not intended to limit its scope of the patents, all to utilize the present invention Equivalent structure transformation made by specification and accompanying drawing content is directly or indirectly used in other related technical areas, similarly It is included within the scope of the present invention.

Claims (10)

1. a kind of PID tune energy efficiency temperature control method, which comprises the steps of:
Step 1: data initialization, setting target temperature value, control period, sampling period and threshold difference;
Step 2: load heating power is promoted to improve controlled device current target regional temperature;
Step 3: controlled device current target regional temperature sampled value is obtained;
Step 4: the sampling period is combined to calculate temperature rise rate according to the temperature sampling value obtained in step 3;
Step 5: the temperature sampling value according to current time and temperature rise rate carry out the pid parameter Self-tuning System based on PSO-DE;
Step 6: carrying out operation according to pid parameter adjusted, adjusts load heating power output, completes a power regulation;
Step 7: step 3 is repeated to step 6, until reaching the target temperature value.
2. PID tune energy efficiency temperature control method according to claim 1, which is characterized in that be true in step 1 Temperature control precision is protected, the control period and sampling period mainly dissipate according to the volume of controlled device, initial temperature and environment Hot rate is set.
3. PID tune energy efficiency temperature control method according to claim 1, which is characterized in that in step 1, work as setting When the difference of target temperature value and current time temperature sampling value is threshold difference, this PID tune energy efficiency temperature control method Start to execute.
4. PID tune energy efficiency temperature control method according to claim 1, which is characterized in that described to mention in step 2 It rises load heating power and is realized by promoting heating power supply voltage.
5. PID tune energy efficiency temperature control method according to claim 1, which is characterized in that in step 4, temperature rise speed Rate is H, the formula calculated temperature rise rate H are as follows:
Wherein: tcon is the temperature sampling period, and Tc is Current Temperatures measured value, and the temperature before Tb is a sampling period measures Value.
6. PID tune energy efficiency temperature control method according to claim 1, which is characterized in that in step 5, the base In the pid parameter Self-tuning System of PSO-DE, steps are as follows:
Pid parameter Kp, Ki, Kd initial value and range is arranged in A1;
A2, the population N, dimension Nl, the number of iterations Tpso of setting improvement rapid particle swarm algorithm, variation coefficient α, acceleration are normal Number β;
A3 initializes population, the initial position of each particle is randomly generated between 0-1;
A4 judges each particle Kp, Ki, Kd the stability of its closed-loop system under Current Temperatures and temperature rise rate, if stablizing, Then according to setting value, it is acquired for the steady-state error ess of step response, regulating time ts, rise time tr, overshoot σ % Etc. performance indicators, and calculate the fitness of each particle, find global optimum's fitness particle, position is denoted as gbest, optimal Fitness is denoted as fbest;
A5, particle position updates, and carries out differential evolution optimizing, recalculates the fitness function of particle, finds global optimum Fitness particle simultaneously updates gbest and fbest;The expression formula of location updating is as follows:
Xi(t)=Xi(t-1)+β·[gbest-Xi(t-1)]
+α·rand(Nl).*scale
Wherein: Xi indicates the position vector of i-th of particle, and rand (Nl) indicates to generate 0 to 1 random number vector of Nl dimension, scale Indicate that the unknown variable of Nl dimension changes scaling vector (maximum value-minimum value);α is variation coefficient, for adjusting random variation item Amplitude of fluctuation;β is acceleration constant, adjusts particle to global optimum's position flying distance amplitude;
A6 judges whether to meet termination condition:
T=Tpso
If met, terminate process, otherwise, and return step A4.
7. PID tune energy efficiency temperature control method according to claim 6, which is characterized in that fitness function is smaller, Particle fitness is more excellent, and fitness function specifically calculates as follows:
Wherein: k1, k2, k3 and k4 are respectively the weight of each performance indicator, are 30,10,20,40 according to the practical value of system.
8. PID tune energy efficiency temperature control method according to claim 6, which is characterized in that in step A5, difference into Changing optimizing, specific step is as follows:
B1 acquires centre individual vi (t) by mutation operation, and formula is as follows:
vi(t)=gbest (t)+m (Xr1(t)-Xr2(t))
Wherein, vi (t) is the flying speed of i-th of particle, and m ∈ [0,2] is weighted factor;
B2 obtains new population by crossover operation, increases particle populations diversity, and formula is as follows:
Wherein, ui (t) is obtained new individual, and CR ∈ [0,1] is mutation probability;
B3, calculates the fitness function value of new individual after crossover operation, to decide whether to select variation individual, formula is as follows:
Wherein, φ (x) is fitness function.
9. PID tune energy efficiency temperature control method according to claim 1, which is characterized in that in step 6, the tune Section heating power output exports pulse duty factor to be converted to PID arithmetic result in one control period, and then controls heating The output of power.
10. including the PID tune energy conservation such as the described in any item PID tune energy efficiency temperature control methods of claim 1-9 Temperature control modules characterized by comprising
Temperature sampling unit, for obtaining the temperature sampling value of controlled device current region;
Heating unit is loaded, for heating to controlled device current region;
Power ascension unit is electrically connected with heating power supply and load heating unit respectively, for controlling load heating power;
PID arithmetic unit is electrically connected with power ascension unit, defeated in a control period for converting PID arithmetic result to Pulse duty factor out, and then control heating power output.
CN201910069498.XA 2019-01-24 2019-01-24 Self-tuning PID energy-saving temperature control method and module Active CN109839967B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910069498.XA CN109839967B (en) 2019-01-24 2019-01-24 Self-tuning PID energy-saving temperature control method and module

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910069498.XA CN109839967B (en) 2019-01-24 2019-01-24 Self-tuning PID energy-saving temperature control method and module

Publications (2)

Publication Number Publication Date
CN109839967A true CN109839967A (en) 2019-06-04
CN109839967B CN109839967B (en) 2021-03-19

Family

ID=66884070

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910069498.XA Active CN109839967B (en) 2019-01-24 2019-01-24 Self-tuning PID energy-saving temperature control method and module

Country Status (1)

Country Link
CN (1) CN109839967B (en)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110687778A (en) * 2019-11-06 2020-01-14 国网天津市电力公司 Cascade control method of electric heating system and PID parameter setting method of main regulator
CN111103790A (en) * 2019-12-05 2020-05-05 珠海格力电器股份有限公司 Parameter setting method and device of PID controller, storage medium, terminal and system
CN111152433A (en) * 2020-01-16 2020-05-15 宁波伊士通控制技术有限公司 Temperature control method for charging barrel of precision injection molding machine
CN111158235A (en) * 2020-01-18 2020-05-15 上海酷鹰机器人科技有限公司 Temperature control method and device based on improved PID control algorithm
CN111208729A (en) * 2019-12-31 2020-05-29 广州南方电安科技有限公司 Self-adaptive control method and device for insulating bucket temperature control device
CN112526879A (en) * 2020-11-23 2021-03-19 珠海格力电器股份有限公司 Parameter determination method, device, control method, system and medium for temperature control system
CN112596557A (en) * 2020-12-18 2021-04-02 北京京仪自动化装备技术有限公司 Method and device for controlling output quantity of semiconductor temperature control device
CN112782972A (en) * 2019-11-07 2021-05-11 大族激光科技产业集团股份有限公司 Laser heating temperature control method
CN113623256A (en) * 2021-07-23 2021-11-09 苏州浪潮智能科技有限公司 Fan rotating speed control method and device
CN113638900A (en) * 2021-07-25 2021-11-12 苏州浪潮智能科技有限公司 Method, device and equipment for regulating and controlling storage array fan and readable medium
CN113655714A (en) * 2021-07-02 2021-11-16 中国科学院西安光学精密机械研究所 Parameter self-tuning method for control system
CN113946172A (en) * 2020-07-17 2022-01-18 电子科技大学中山学院 Parameter self-tuning PID temperature control method
CN114047275A (en) * 2022-01-17 2022-02-15 华谱科仪(北京)科技有限公司 Temperature control method and device for chromatograph
CN114138029A (en) * 2021-10-27 2022-03-04 北京北方华创微电子装备有限公司 Pipeline temperature control method and equipment for semiconductor process equipment
CN114383411A (en) * 2021-12-06 2022-04-22 广东智科电子股份有限公司 Heat pump drying control method, device and system and storage medium
CN114488774A (en) * 2021-12-16 2022-05-13 上海中韩杜科泵业制造有限公司 PID control parameter acquisition method, device, equipment and medium
CN114610097A (en) * 2022-03-22 2022-06-10 青岛海尔生物医疗股份有限公司 PID parameter self-tuning temperature control method and device and heat preservation box

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202835760U (en) * 2012-09-12 2013-03-27 苏州赛华仪控股份有限公司 Thermostatic water tank
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
CN105114242A (en) * 2015-07-22 2015-12-02 重庆邮电大学 Hydro governor parameter optimization method based on fuzzy self-adaptive DFPSO algorithm
CN107272403A (en) * 2017-06-14 2017-10-20 浙江师范大学 A kind of PID controller parameter setting algorithm based on improvement particle cluster algorithm
CN108121208A (en) * 2017-12-25 2018-06-05 国网江西省电力有限公司电力科学研究 Based on PSO-ABFO reheat steam temperature PID controller parameter optimization methods
CN109212965A (en) * 2018-08-06 2019-01-15 广州云雷智能科技有限公司 Floor heating temperature control system and method based on particle swarm optimization algorithm

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202835760U (en) * 2012-09-12 2013-03-27 苏州赛华仪控股份有限公司 Thermostatic water tank
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
CN105114242A (en) * 2015-07-22 2015-12-02 重庆邮电大学 Hydro governor parameter optimization method based on fuzzy self-adaptive DFPSO algorithm
CN107272403A (en) * 2017-06-14 2017-10-20 浙江师范大学 A kind of PID controller parameter setting algorithm based on improvement particle cluster algorithm
CN108121208A (en) * 2017-12-25 2018-06-05 国网江西省电力有限公司电力科学研究 Based on PSO-ABFO reheat steam temperature PID controller parameter optimization methods
CN109212965A (en) * 2018-08-06 2019-01-15 广州云雷智能科技有限公司 Floor heating temperature control system and method based on particle swarm optimization algorithm

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110687778A (en) * 2019-11-06 2020-01-14 国网天津市电力公司 Cascade control method of electric heating system and PID parameter setting method of main regulator
CN110687778B (en) * 2019-11-06 2023-01-10 国网天津市电力公司 Cascade control method of electric heating system and PID parameter setting method of main regulator
CN112782972A (en) * 2019-11-07 2021-05-11 大族激光科技产业集团股份有限公司 Laser heating temperature control method
CN112782972B (en) * 2019-11-07 2022-12-02 大族激光科技产业集团股份有限公司 Laser heating temperature control method
CN111103790A (en) * 2019-12-05 2020-05-05 珠海格力电器股份有限公司 Parameter setting method and device of PID controller, storage medium, terminal and system
CN111208729A (en) * 2019-12-31 2020-05-29 广州南方电安科技有限公司 Self-adaptive control method and device for insulating bucket temperature control device
CN111152433A (en) * 2020-01-16 2020-05-15 宁波伊士通控制技术有限公司 Temperature control method for charging barrel of precision injection molding machine
CN111152433B (en) * 2020-01-16 2021-08-06 宁波伊士通控制技术有限公司 Temperature control method for charging barrel of precision injection molding machine
CN111158235A (en) * 2020-01-18 2020-05-15 上海酷鹰机器人科技有限公司 Temperature control method and device based on improved PID control algorithm
CN113946172A (en) * 2020-07-17 2022-01-18 电子科技大学中山学院 Parameter self-tuning PID temperature control method
CN113946172B (en) * 2020-07-17 2022-11-29 电子科技大学中山学院 Parameter self-tuning PID temperature control method
CN112526879A (en) * 2020-11-23 2021-03-19 珠海格力电器股份有限公司 Parameter determination method, device, control method, system and medium for temperature control system
CN112596557A (en) * 2020-12-18 2021-04-02 北京京仪自动化装备技术有限公司 Method and device for controlling output quantity of semiconductor temperature control device
CN112596557B (en) * 2020-12-18 2022-05-24 北京京仪自动化装备技术股份有限公司 Method and device for controlling output quantity of semiconductor temperature control device
CN113655714B (en) * 2021-07-02 2023-01-06 中国科学院西安光学精密机械研究所 Parameter self-tuning method for control system
CN113655714A (en) * 2021-07-02 2021-11-16 中国科学院西安光学精密机械研究所 Parameter self-tuning method for control system
CN113623256A (en) * 2021-07-23 2021-11-09 苏州浪潮智能科技有限公司 Fan rotating speed control method and device
CN113638900A (en) * 2021-07-25 2021-11-12 苏州浪潮智能科技有限公司 Method, device and equipment for regulating and controlling storage array fan and readable medium
CN114138029A (en) * 2021-10-27 2022-03-04 北京北方华创微电子装备有限公司 Pipeline temperature control method and equipment for semiconductor process equipment
CN114138029B (en) * 2021-10-27 2023-04-14 北京北方华创微电子装备有限公司 Method and apparatus for controlling temperature of piping used in semiconductor processing equipment
CN114383411A (en) * 2021-12-06 2022-04-22 广东智科电子股份有限公司 Heat pump drying control method, device and system and storage medium
CN114488774A (en) * 2021-12-16 2022-05-13 上海中韩杜科泵业制造有限公司 PID control parameter acquisition method, device, equipment and medium
CN114488774B (en) * 2021-12-16 2022-09-27 上海中韩杜科泵业制造有限公司 PID control parameter acquisition method, device, equipment and medium
CN114047275A (en) * 2022-01-17 2022-02-15 华谱科仪(北京)科技有限公司 Temperature control method and device for chromatograph
CN114610097A (en) * 2022-03-22 2022-06-10 青岛海尔生物医疗股份有限公司 PID parameter self-tuning temperature control method and device and heat preservation box
CN114610097B (en) * 2022-03-22 2023-09-15 青岛海尔生物医疗股份有限公司 PID parameter self-tuning temperature control method and device and incubator

Also Published As

Publication number Publication date
CN109839967B (en) 2021-03-19

Similar Documents

Publication Publication Date Title
CN109839967A (en) A kind of PID tune energy efficiency temperature control method and module
Hanzaei et al. A scheme-based review of MPPT techniques with respect to input variables including solar irradiance and PV arrays’ temperature
CN102778844B (en) Induction heating closed loop simulation method based on finite element model and system identification
Shen et al. Temperature uniformity control of large-scale vertical quench furnaces for aluminum alloy thermal treatment
CN106979641A (en) Based on the refrigeration system data driving energy-saving control system and method for improving MFAC
CN109254530A (en) MFA control method based on grinding process basis circuit
CN109212965A (en) Floor heating temperature control system and method based on particle swarm optimization algorithm
CN103279155A (en) Temperature control system
CN110094838B (en) Variable parameter model-free self-adaptive control method based on air conditioning system
CN111473408A (en) Control method of heat supply control system based on climate compensation
Singh et al. Implementation and evaluation of heating system using PID with genetic algorithm
CN112180733B (en) Fuzzy logic-based building energy consumption system prediction control parameter setting method
de Oliveira et al. Dynamic online optimization of a house heating system in a fluctuating energy price scenario
CN113211750B (en) Injection molding machine charging barrel metering section temperature control method based on udf and numerical simulation
CN109974360A (en) A kind of refrigeration system temperature optimization control method based on drosophila algorithm
CN106647247B (en) A kind of control algolithm suitable for servo controller
CN115161704A (en) Electrolytic tank operation temperature control method based on refrigerant flow regulation
Al-Ghasem et al. Air conditioner control using neural network and PID controller
Yang et al. A temperature optimal control method of temperature control system considering thermal inertia
Hu et al. Differential Evolution Algorithm Based Self-adaptive Control Strategy for Fed-batch Cultivation of Yeast.
Ghanavati et al. Demand-side energy management using an adaptive control strategy for aggregate thermostatic loads
CN106610588B (en) A kind of tandem Predictive Control System and method
CN105199973B (en) A kind of Yeast Cultivation online adaptive control method based on differential evolution algorithm
CN104950847A (en) Method for calculating self-optimizing controlled variable during forced circulation and evaporation control in process of alkali liquid concentration and production
Liu et al. Thermal efficiency prediction model of cement clinker production based on fuzzy c-means monitoring clustering

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20210128

Address after: 523000 Room 201, building 2, 21 Xianghe 1st Road, Dalang Town, Dongguan City, Guangdong Province

Applicant after: Guangdong Guosong Energy Technology Co.,Ltd.

Address before: No.1-12, floor 1 and 2, building 18, Huake city innovation Island Industrial Incubation Park, No.2, Changping Wan Road, Daojiao Town, Dongguan City, Guangdong Province, 523000

Applicant before: GUANGDONG YUANSEN ENERGY TECHNOLOGY Co.,Ltd.

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant