CN1564091A - Fast parameter self-setting method - Google Patents

Fast parameter self-setting method Download PDF

Info

Publication number
CN1564091A
CN1564091A CNA2004100175303A CN200410017530A CN1564091A CN 1564091 A CN1564091 A CN 1564091A CN A2004100175303 A CNA2004100175303 A CN A2004100175303A CN 200410017530 A CN200410017530 A CN 200410017530A CN 1564091 A CN1564091 A CN 1564091A
Authority
CN
China
Prior art keywords
output
value
time
controlled
adjusting
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
CNA2004100175303A
Other languages
Chinese (zh)
Other versions
CN1253766C (en
Inventor
蒋念平
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.)
ShanghaiTech University
University of Shanghai for Science and Technology
Original Assignee
University of Shanghai for Science and Technology
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 University of Shanghai for Science and Technology filed Critical University of Shanghai for Science and Technology
Priority to CN 200410017530 priority Critical patent/CN1253766C/en
Publication of CN1564091A publication Critical patent/CN1564091A/en
Application granted granted Critical
Publication of CN1253766C publication Critical patent/CN1253766C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Feedback Control In General (AREA)

Abstract

The invention related to method for determining control parameters in a system controlled quickly includes following steps: output of the controlled system is assigned at pointed target value, a zone called as self setting effective working area including upper and lower borderlines is divided out of near to target value; adding a activation to the system controlled, making output of the system towards target value; before reaching the lower borderline, the system actuation becomes zero; adding second actuation signal after first output begins falling; after output of the system reaches 'valley point', continuous applying actuation signal till the output of the system reaches a pointed increment value above base value of valley point; when output of the system reaches peak value second time, data acquisition is finished to complete parameters self setting and the self setting procedure is ended. The method is applicable to controlling electric furnace having large inertia and large lag.

Description

A kind of fast parameter automatic setting method
Technical field
The present invention relates to a kind of industrial process control of being used for, the pattern-recognition of Industry Control object, the fast parameter automatic setting method that obtains especially for the controlled variable of becoming slowly in the Industry Control object, big inertia, Large-lag System.
Background technology
Control at industrial process, particularly in the control of the big inertia system that temperature etc. is become slowly, the aspect of model of controlling object will be along with the difference of object, the difference of duty and having nothing in common with each other, artificial definite controlled variable need have good understanding and enough commissioning experiences to system, how different controlling object is determined that automatically its suitable controlled variable is the common problem of Industry Control instrument industry.In the design and production of control instrument, because the instrument application surface is extremely wide, controlling object has nothing in common with each other, so generally can't pre-determine controlled variable, usually need after being used in certain controlled system of determining, instrument could determine its controlled variable targetedly.Determine controlled variable, at first need to understand the essential characteristic of controlled system.The mathematical model of system in other words.In fact relate to a pattern recognition problem.About pattern-recognition, many mature theory are arranged.But it is both unrealistic also unnecessary for many Industry Control objects to obtain system features by pattern recognition theory.Because this mode identification method needs lot of data, and operation time, the Industry Control object that becomes slowly for great majority can't effectively make in this way because recognition time is oversize.And has the feature of monotone convergence for the Industry Control object overwhelming majority of reality.On the other hand, the controll plant that PID controls for this monotone convergence on control algolithm has the characteristics low to the parameter changing sensitivity.That is to say that PID control is not very high to the degree of accuracy requirement of controlling object model.This is verified in a large amount of practical applications.So the great majority band adopts comparatively easy method from the control instrument of adjusting both at home and abroad at present.Its basic way is: by controll plant is applied excitation, and guarantee to be applied be activated at the control equilibrium point near metastable response output is arranged, and can calculate corresponding P by this excitation and corresponding output characteristics, I, D controlled variable.The automatic setting method that adopts both at home and abroad as shown in Figure 1 at present.Divide near the working point and mark one from adjusting the effective coverage, i.e. the suitable correction of system features parameter process that obtains in this zone can reflect near the system features the working point.Adopt extrinsic motivated and near the system responses of collecting work point for obtaining required characteristic information, obtain system works spot correlation feature thus and calculate controlled variable.Its process is such, at first controlled system is added a constant excitation and makes system output close to the working point, and during certain setting, system incentive becomes 0 near reaching the working point.System will continue to approach to the working point owing to inertia, and after after a while, beginning to fall after rise, when falling back to setting, system is added excitation for the second time, at this moment system will occur one from continuing to drop to the procedure body of rising, when system's output reaches this setting once more, again system incentive is put 0.The process that a rising falls after rise again will appear in system.When once fall back to this setting the time, the process of adjusting finishes.Calculate controlled variable according to image data.In the whole process of adjusting, excitation is to make system enter the working point near zone for the first time, and excitation for the second time is only the real beginning of adjusting certainly.To keep output characteristics that excitation produces relatively near the feature of working point.In the process of adjusting, the process that setting is fallen back in twice output appears whole.When system is big inertial time, this process is very long.Thereby make from the required time of adjusting very long.
Summary of the invention
When said method was not too big for the inertia of controlling object, its setting parameter required time can also be accepted.But when the inertia of controll plant was very big, the method for this setting parameter just seemed that the time is oversize.Particularly need often to change, and the bigger occasion of system parameter variations just need be carried out adjusting of parameter frequently at working state of system.Oversize setting time will reduce work efficiency.The purpose of this method adopts suitable energisation mode being to guarantee to obtain under the prerequisite of effective system characteristic information, reduces the redundant information collection.Thereby reach the purpose of accelerating parameter tuning.
This method adopts following technical proposals to parameter self-tuning, and characteristics are that method step is:
1, establishes controlled system export target value, near desired value, divide and mark a zone of being referred to as that upper and lower border is arranged from effective workspace of adjusting;
2, controlled system is added an excitation and make system's output to desired value, before reaching the workspace lower boundary of adjusting of setting, system incentive becomes 0;
3, when beginning to drop for the first time, system's output adds pumping signal for the second time later;
4, system output arrives and continues to apply that pumping signal reaches with the valley point value until system's output is the top designated increments value of base value behind the valley point;
5, parameter tuning is finished in end data collection after system's output reaches peak value for the second time, finishes from adjusting process.
The technical program and former technology relatively have the characteristics of several aspects:
1, pumping signal is short action time for the first time, as long as it is just passable to make system's output peak value enter target setting value zone.Pumping signal added later when the first time, peak value began to drop for the second time.Saved the falling time required in the former method.
2, the incentive action time is benchmark with the valley point of exporting for the second time, and keeps a rising drop ζ, to guarantee the effective actuation duration.
3, for the second time behind the peaking data acquisition promptly come to an end, and carry out controlled variable and calculate.Saved and fallen after rise the time second time required in the former method.
This method is in the control with big inertia large time delay furnace equipment, and the rapidity of adjusting certainly is apparent in view, and the control effect is also relatively good.
Description of drawings
Fig. 1 is that conventional method is from adjusting regular synoptic diagram;
Fig. 2 is that this method is from adjusting regular synoptic diagram;
Fig. 3 adjusts and the controlling recording curve certainly for conventional method;
Fig. 4 is for adjusting and the controlling recording curve certainly.
Embodiment
As shown in Figure 2, the system export target value of setting up departments is GV.Near desired value, divide and mark a zone, be referred to as from adjusting effective workspace, and to establish desired value be m to the distance on border.At first controlled system is added an excitation and make system's output close to desired value, before will arriving the border, workspace of adjusting of setting, system incentive becomes 0.System's output will continue to approach to the workspace of adjusting owing to inertia, and make system's output peak value enter the workspace of adjusting, and when outputing to peaking and falling after rise in system, again system be applied excitation, and at this moment system is owing to inertia, and output will continue to fall after rise.System's output arrives the valley point and begins and rises after a period of time.System's output continues to apply excitation reaches value top, valley point ζ until system's output designated increments after arriving the valley point.After system incentive becomes 0, system will continue to rise because of inertia, arrive peaking after a period of time.When beginning to fall after rise, system's output finishes the process of adjusting.After this, system will be with the controlled variable operation of the acquisition of adjusting certainly.Fig. 2 is the process prescription to this scheme.Among the figure, y represents system's output, and t is the time.
Fig. 3 adopts conventional automatic setting method that a big inertia large time delay furnace equipment is carried out adjusting certainly, and notes down curve with the process that setting parameter is controlled.Fig. 4 is the process record curve that adopts this method that same equipment is carried out parameter tuning and controlled by setting parameter.This subjects is an experiment baking oven, 100 ℃ of temperature of control, 10 ℃ of initial temperatures, the registering instrument chart drive speed be 2.5 lattice/hour.Conventional method about more than 2 hours from setting time, the time that controls to stationary value was at more than 1 hour.Whole about 3 and a half hours Zi 100 ℃ stable of design temperatures of the last arrival of the system of adjusting from 10 ℃ of beginnings of cold conditions environment temperature.Employing this method about more than 1 hour from setting time, the time that controls to stationary value is about half an hour.Whole about 2 hours Zi 100 ℃ stable of design temperatures of the last arrival of the system of adjusting from 10 ℃ of beginnings of cold conditions environment temperature.The The whole control time shortens greatly.Wherein most importantly from the shortening of setting time.Two kinds of methods differed from more than one hour from setting time in this example.

Claims (1)

1, a kind of fast parameter automatic setting method is characterized in and can determines the controlled system controlled variable fast, and the step of described method is:
(1) establishes controlled system export target value, near desired value, divide and mark a zone of being referred to as that upper and lower border is arranged from effective workspace of adjusting;
(2) controlled system is added an excitation and make system's output to desired value, before reaching the workspace lower boundary of adjusting of setting, system incentive becomes 0;
(3) when beginning to drop for the first time, system's output adds pumping signal for the second time later;
(4) system output arrives and continues to apply that pumping signal reaches with the valley point value until system's output is the top designated increments value of base value behind the valley point;
(5) parameter tuning is finished in end data collection after system's output reaches peak value for the second time, finishes from adjusting process.
CN 200410017530 2004-04-08 2004-04-08 Fast parameter self-setting method Expired - Fee Related CN1253766C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 200410017530 CN1253766C (en) 2004-04-08 2004-04-08 Fast parameter self-setting method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 200410017530 CN1253766C (en) 2004-04-08 2004-04-08 Fast parameter self-setting method

Publications (2)

Publication Number Publication Date
CN1564091A true CN1564091A (en) 2005-01-12
CN1253766C CN1253766C (en) 2006-04-26

Family

ID=34479015

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 200410017530 Expired - Fee Related CN1253766C (en) 2004-04-08 2004-04-08 Fast parameter self-setting method

Country Status (1)

Country Link
CN (1) CN1253766C (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1945468B (en) * 2006-09-30 2010-12-08 中国科学院电工研究所 Self searching optimum control of scanning type PI parameter
CN105892322A (en) * 2016-05-13 2016-08-24 福建顺昌虹润精密仪器有限公司 Intelligent controller and self-tuning method
CN109062033A (en) * 2018-10-19 2018-12-21 宁波市机电工业研究设计院有限公司 A kind of methods of self-tuning of PID system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1945468B (en) * 2006-09-30 2010-12-08 中国科学院电工研究所 Self searching optimum control of scanning type PI parameter
CN105892322A (en) * 2016-05-13 2016-08-24 福建顺昌虹润精密仪器有限公司 Intelligent controller and self-tuning method
CN105892322B (en) * 2016-05-13 2018-10-23 福建顺昌虹润精密仪器有限公司 A kind of intelligent controller and automatic setting method
CN109062033A (en) * 2018-10-19 2018-12-21 宁波市机电工业研究设计院有限公司 A kind of methods of self-tuning of PID system
CN109062033B (en) * 2018-10-19 2021-08-24 宁波市机电工业研究设计院有限公司 Parameter self-tuning method of PID system

Also Published As

Publication number Publication date
CN1253766C (en) 2006-04-26

Similar Documents

Publication Publication Date Title
CN102518579A (en) Method for controlling frequency of compressor of inverter air conditioner
CN103684193B (en) A kind of AC servo attitude conirol method
CN102998971B (en) Mechanical ventilation of greenhouse pid parameter setting method and control method thereof and control system
CN1253766C (en) Fast parameter self-setting method
CN106125546A (en) A kind of PID control method of the variation tendency applying controlled volume
CN109324646A (en) A kind of small amplitude fast temperature control device and method
CN106773652A (en) A kind of PID systems and its parameter automatic adjusting method
CN110343847A (en) Method for controlling furnace temperature and annealing furnace
EP0013287B1 (en) Device for energy-optimising the change in temperature in buildings during non-occupied periods
CN111076531B (en) Control method of drying device, drying device and controller
CN1936737A (en) Distribution type PI and PID controller quantitative setting method for industrial multi-input-output process
US7607329B2 (en) Method for free bending
CN104817254A (en) Intelligent regulating method for furnace pressure of glass melting furnace
US4664052A (en) Automatic vehicle control method
DE102009026942A1 (en) Control device and method for controlling heat pump and refrigeration systems
CN113094896A (en) Power plant heat supply unit optimization control method
CN104747295A (en) Gas turbine power control method and gas turbine power control device
DE19946077A1 (en) Process for regulating the position of a camshaft and arrangement for carrying out the process
CN108132597B (en) Design method of differential advanced intelligent model set PID controller
CN108132596B (en) Design method of differential advanced generalized intelligent internal model set PID controller
CN111086266B (en) Self-adaptive variable-speed parking method and device for intelligent press
CN107121927B (en) Irrigation system based on generalized predictive control
EP2187276B1 (en) Method to determine the parameter values to control a system's status
EP1310573A3 (en) Process to produce a metal melt on the basis of a dynamic process model, including a correction model
CN108303873A (en) A kind of permanent magnet synchronous motor sliding mode controller considering that controlled quentity controlled variable is limited

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C19 Lapse of patent right due to non-payment of the annual fee
CF01 Termination of patent right due to non-payment of annual fee