CN104865920B - The grid frequency setting bielliptic(al) approximating method of the viscous degree recall rate of pneumatic control valve can be improved - Google Patents
The grid frequency setting bielliptic(al) approximating method of the viscous degree recall rate of pneumatic control valve can be improved Download PDFInfo
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Abstract
Bielliptic(al) approximating method is set the invention discloses a kind of recall rate grid frequency that can improve the viscous degree of pneumatic control valve, the method in upper cut off frequency and lower limiting frequency by selecting the cut-off frequency group being made up of upper cut off frequency and lower limiting frequency, and the subset data section points counted for each cut-off frequency group between oval and outer ellipse account for the percentage of all points of whole subset data section, finally obtain largest percentage and upper cut off frequency corresponding with largest percentage and lower limiting frequency, optimize the upper cut off frequency of bandpass filter and the selection process of lower limiting frequency.The method of the present invention can improve the recall rate of viscosity property, improve the automaticity of algorithm.
Description
It is May 02, Application No. 201310159959.5, denomination of invention in 2013 applying date that the application is
For《Grid frequency sets bielliptic(al) approximating method and its application》Divisional application.
Technical field
The invention belongs to the technical field of control loop performance monitoring system, more particularly to pneumatic control valve exist it is viscous
The method that failure is detected.
Background technology
In the industry of the continuous processes such as electric power, steel, oil, chemical industry, expand day by day with production-scale, list covering device
Installed capacity it is increasing, and to the indexs such as energy-saving, cost control, production safety, product quality, environmental protection will
Ask and also improved constantly, so as to cause effect of the process control played in whole production to seem important all the more.But due to
Modern industry process is increasingly complicated and live numerous controller lacks a variety of causes such as regular maintenance, causes industrial process
The not good problem of middle control loop systematic function is largely present.According to Honeywell announcements on continuing process flow industry process
One investigation result for lasting 2 years shows that the performance to 26,000 pid control circuit in continuous process industrial process is divided
Analysis, as a result shows that only 1/3 control loop systematic function is good, and the systematic function of other 2/3 control loops all needs
Improve.And cause that a bad subject matter of the performance of control loop is oscillation circuit.There is investigation to show, have in industrial process
The control loop of l/3 is in oscillatory regime.And the presence vibrated, directly result in product quality decline, energy consumption increase, equipment mill
Damage the appearance of the problems such as accelerating.Particularly for Large Scale and Continuous process industry, control loop number is thousands of, eliminates loop
What is vibrated seems especially urgent to the adverse effect caused by production.
The main cause of oscillation circuit has 3, respectively：Process device problem, periodic external disturbance, controller
Parameter tuning is not good.Regulating valve is one of the most frequently used process device in the industrial process such as electric power, steel, oil, chemical industry.And
In a variety of causes for causing oscillation circuit, the problem of Pneumatic executive valve account for 20%~30% according to statistics, and Pneumatic executive valve is returned
The nonlinear characteristic such as stagnant, dead band, viscous all can to some extent influence control system performance, and wherein especially with Pneumatic executive valve
Viscosity property is most commonly seen.According to document, 1% control system performance improvement or the raising of energy utilization rate in industrial process will
The profit of several ten million or even several hundred million dollars can be brought.Therefore, strengthen to production process and the online reality of control system operation conditions
When monitoring, realize to the inline diagnosis including the various actuator failures including valve viscous caused oscillation problem, and
Corresponding solution is taken according to this, the safe and stable and height to ensureing the production of the continuous processes such as electric power, steel, oil, chemical industry
It is most important for effect.
The detection viscous method of pneumatic control valve that existing document is proposed is non-using two-phase drying method detection control loop
Linearly, the presence of pneumatic control valve viscosity property is confirmed by fitted ellipse, and gives the one of the viscous degree of pneumatic control valve
Individual estimator.But due to complicated factors such as much noises present in the actual field data for above-mentioned analytical calculation, to " ellipse
The interference of circle fitting " testing result, the viscous situation of some physical presence, if being done by the method in existing document, but
Less than the estimator of viscous presence.That is, there is detection in the method for detecting that pneumatic control valve is viscous that existing document is proposed
The also undesirable problem of validity.
The content of the invention
Goal of the invention：The present invention will provide a kind of grid frequency setting bielliptic(al) approximating method, and it can improve pneumatic control
The recall rate of the viscous degree of valve processed, so as to further improve the automaticity of algorithm.
Technical scheme：A kind of grid frequency sets bielliptic(al) approximating method, wherein, the upper cut off frequency of bandpass filter and
The selection process of lower limiting frequency is as follows：
Upper and lower bound, the upper and lower bound of lower limiting frequency of S1, the upper cut off frequency of setting bandpass filter, and
Upper cut off frequency step-length and lower limiting frequency step-length；
S2, search upper cut off frequency and lower limiting frequency, calculate the subset data section between interior oval and outer ellipse
Points account for the percentage of all points of whole subset data section；
S2.11, the upper cut off frequency given to, lower limiting frequency is according to lower limiting frequency step-length from the lower cut-off
The upper limit of frequency is reduced downwards or increased upwards from the lower limit of the lower limiting frequency, to every group of given upper cut off frequency with
Cut-off frequency, counts all points that subset data section points between oval and outer ellipse account for whole subset data section
Percentage；
S2.12, between the upper and lower bound of upper cut off frequency, according to upper cut off frequency step-size change upper cut off frequency
Value, repeat step S2.11；
The largest percentage in percentage is obtained and exported, the corresponding upper cut off frequency of this percentage and lower cutoff frequency is recorded
Rate；
Or；
S2.21, the lower limiting frequency given to, upper cut off frequency is according to upper cut off frequency step-length from the upper cut-off
The upper limit of frequency is reduced downwards or increased upwards from the lower limit of the upper cut off frequency, to every group of given upper cut off frequency with
Cut-off frequency, counts all points that subset data section points between oval and outer ellipse account for whole subset data section
Percentage；
S2.22, between the upper and lower bound of lower limiting frequency, according to lower limiting frequency step-size change lower limiting frequency
Value, repeat step S2.21；
S2.3, obtain and export the largest percentage in percentage, record the corresponding upper cut off frequency of this percentage and under
Cut-off frequency；
If S3, largest percentage are more than or equal to percentage threshold, judge that generation is viscous.
In step s 2, the method for searching out the largest percentage in percentage is：The percentage that obtains more afterwards with
The size of the percentage of preceding acquisition, if the rear percentage for obtaining is more than the percentage for first obtaining, the percentage obtained after retaining
Than, and record upper cut off frequency and lower limiting frequency；Otherwise, the percentage obtained after giving up.
In step s 2, the method for searching out the largest percentage in percentage is：Record is per class upper limit frequency and lower limit
The corresponding subset data section points between interior oval and outer ellipse of frequency account for the hundred of all points of whole subset data section
Divide ratio, and therefrom select largest percentage.
Interior oval being reduced by the first zoom factor by standard ellipse obtains；The outer ellipse presses second by standard ellipse
Zoom factor amplification is obtained.First zoom factor is equal to the second zoom factor.First zoom factor and the second scaling
Coefficient is 12% ~ 18%, it is preferable that first zoom factor and the second zoom factor are 15%.
In the above-mentioned methods, the percentage threshold is 60%；The upper limit of the upper cut off frequency of the bandpass filter is
0.5, lower limit is 0.02；The upper limit of lower limiting frequency is less than 0.02, and lower limit is 0.001；The upper cut off frequency step-length be 0.01 ~
0.05, lower limiting frequency step-length is 0.001 ~ 0.002.
In the S2, the method for search upper cut off frequency and lower limiting frequency can also be：
Upper cut off frequency is reduced downwards according to upper cut off frequency step-length from the upper limit of upper cut off frequency, or from upper cutoff frequency
The lower limit of rate increases upwards, obtains multigroup given upper cut off frequency；Lower limiting frequency is according to lower limiting frequency step-length from lower section
Only the upper limit of frequency is reduced downwards, or is increased upwards from the lower limit of lower limiting frequency, obtains multigroup given lower limiting frequency；
Any one given upper cut off frequency and any one given lower limiting frequency are constituted into cut-off frequency group, for each cutoff frequency
Rate group, counts the percentage that the subset data section points between oval and outer ellipse account for all points of whole subset data section
Than, and obtain largest percentage and upper cut off frequency corresponding with largest percentage and lower limiting frequency.
Present invention also offers above-mentioned grid frequency setting bielliptic(al) approximating method in the viscous detection process of valve is controlled
Using.
Beneficial effect：Grid frequency setting bielliptic(al) approximating method of the invention can improve the recall rate of viscosity effect,
So as to improve the automaticity of algorithm, considerable economic benefit is obtained.
Brief description of the drawings
Fig. 1 is flow chart of the invention；
Fig. 2 a ~ Fig. 2 c are the experimental data figures of one embodiment of the present of invention；
Fig. 3 a ~ Fig. 3 c are the experimental data figures of an alternative embodiment of the invention.
Specific embodiment
Embodiment 1：
As shown in figure 1, the basic step of grid frequency setting bielliptic(al) approximating method includes：
S1, assignment, initialization set the upper limit f of the upper cut off frequency of bandpass filterHmaxWith lower limit fHmin, lower cutoff frequency
The upper limit f of rateLmaxWith lower limit fLmin, and upper cut off frequency step-length Step_H and lower limiting frequency step-length Step_L, it is assigned to i by 0
WithP max ；For example, the upper limit f of the upper cut off frequency of bandpass filterHmaxIt is 0.5, lower limit fHminIt is 0.02；Lower limiting frequency it is upper
Limit fLmaxLess than 0.02, lower limit fLminIt is 0.001；The upper cut off frequency step-length Step_H is 0.01 ~ 0.05, lower limiting frequency
Step-length Step_L is 0.001 ~ 0.002.
S2, using the double-loop method upper lower limiting frequency of search, lower limiting frequency is outer circulation, and upper cut off frequency is followed in
Ring.If a certain lower limiting frequency fLmaxThe value of-i*Step_L is less than fLmin, then it is assumed that i.e. lower limiting frequency is traveled through from top to bottom
Complete, now, interior circulation also has stepped through completion, then export PmaxIf the value is more than percentage threshold, then it is assumed that exist
It is viscous, conversely, being not considered as to exist viscous.
In interior circulation, upper cut off frequency is traveled through from the top down, if a certain upper cut off frequency fHmaxThe value of-j*Step_H
Less than fHmin, then it is assumed that an interior circulation is completed；Conversely, then calculate calculating in { fL（i）, fH(j)Value when P（I, j）, note
It is Pnew, j adds 1, is prepared to enter into subsequent cycle；Judge PnewWhether P is more thanmaxIf, PnewMore than PMax,Then by PnewIt is assigned to
Pmax, make PmaxIt is always the maximum for having calculated percent value；Conversely, the next step of interior circulation is reentered, again
Calculate one group of percentage.
Embodiment 2：
S1, assignment, initialization set the upper limit f of the upper cut off frequency of bandpass filterHmaxWith lower limit fHmin, lower cutoff frequency
The upper limit f of rateLmaxWith lower limit fLmin, and upper cut off frequency step-length Step_H and lower limiting frequency step-length Step_L, it is assigned to i by 0
WithP max ；For example, the upper limit f of the upper cut off frequency of bandpass filterHmaxIt is 0.5, lower limit fHminIt is 0.02；Lower limiting frequency it is upper
Limit fLmaxLess than 0.02, lower limit fLminIt is 0.001；The upper cut off frequency step-length Step_H is 0.01 ~ 0.05, lower limiting frequency
Step-length Step_L is 0.001 ~ 0.002.S2, search upper cut off frequency and lower limiting frequency, calculate in interior oval and outer ellipse
Between subset data section points account for whole subset data section all points percentage；Interior ellipse presses first by standard ellipse
Zoom factor reduces and obtains；Outer oval the amplification by the second zoom factor by standard ellipse obtains, and the first zoom factor is equal to
Second zoom factor, the first zoom factor and the second zoom factor are generally 12% ~ 18%, preferably 15%.
Step S2 is specifically included：S2.11, the upper cut off frequency f given toH, lower limiting frequency fLAccording to lower cut-off
Frequency step Step_L is from the upper limit fLmaxReduce downwards or from the lower limit fLminIncrease upwards, it is given to every group upper section
Only frequency and lower limiting frequency, count the subset data section points between oval and outer ellipse and account for whole subset data section
The percentage of all pointsP new ；The percentage and the size of the percentage in preceding acquisition for obtaining more afterwards, if the hundred of rear acquisition
Divide than being more than the percentage for first obtaining, then the percentage obtained after retaining, and record upper cut off frequency and lower limiting frequency；It is no
Then, the percentage obtained after giving up.
S2.12, the upper limit f in upper cut off frequencyHmaxWith lower limit fHminBetween, change according to upper cut off frequency step-length Step_H
Become upper cut off frequency fHValue, repeat step S2.11；
Obtain percentageP new In largest percentageP max , record the corresponding upper cut off frequency of this percentage and lower cutoff frequency
Rate；
If S3, largest percentageP max More than or equal to percentage thresholdP set , then judge that generation is viscous, according in engineering
Experience, percentage thresholdP set It is 60%.
Embodiment 3：
The difference that the embodiment is implemented with upper one is in step S2：
S2.21, the lower limiting frequency f given toL, upper cut off frequency fHAccording to upper cut off frequency step-length Step_H from
The upper limit fHmaxReduce downwards or from the lower limit fHminIncrease upwards, to every group of given upper cut off frequency and lower cutoff frequency
Rate, counts the percentage that the subset data section points between oval and outer ellipse account for all points of whole subset data sectionP new ；
S2.22, the upper limit f in lower limiting frequencyLmaxWith lower limit fLminBetween, change according to lower limiting frequency step-length Step_L
Become lower limiting frequency fLValue, repeat step S2.21；Obtain percentageP new In largest percentageP max , record this percentage
Corresponding upper cut off frequency and lower limiting frequency.
Embodiment 4：
The embodiment is with the difference of embodiment 2：In step s 2, percentage is searched outP new In maximum hundred
Divide ratioP max Method be：The every class upper limit frequency of record and the corresponding number of subsets between interior oval and outer ellipse of lower frequency limit
The percentage of all points of whole subset data section is accounted for according to section points, and therefrom selects largest percentage.
Embodiment 5：
The embodiment is with the difference of embodiment 2：In the S2, upper cut off frequency and lower cutoff frequency are searched for
The method of rate can also be：Upper cut off frequency is reduced downwards according to upper cut off frequency step-length from the upper limit of upper cut off frequency, or
Increase upwards from the lower limit of upper cut off frequency, obtain multigroup given upper cut off frequency；Lower limiting frequency is according to lower limiting frequency
Step-length is reduced downwards from the upper limit of lower limiting frequency, or is increased upwards from the lower limit of lower limiting frequency, is obtained multigroup given
Lower limiting frequency；Any one given upper cut off frequency and any one given lower limiting frequency are constituted into cut-off frequency group, pin
To each cut-off frequency group, the institute that the subset data section points between oval and outer ellipse account for whole subset data section is counted
There is the percentage of points, and obtain largest percentage and upper cut off frequency corresponding with largest percentage and lower limiting frequency.
In the above-described embodiments understand, no matter upper cut off frequency be interior circulation, lower limiting frequency be outer circulation, Huo Zhexiang
Instead, traversal can be realized, upper lower limiting frequency is traveled through or traveled through from bottom to top from the top down.In addition, searching maximum percentage
The method of ratio is not limited to that the above is several, and technical staff can find other algorithms from existing algorithm.
Contrast experiment 1：As shown in Fig. 2 a to Fig. 2 c, this is the industry by the viscous flow control circuit of physical presence
The OP that data are drawn（Export to the control signal of executing agency）、PV（The actual value for detecting）、SP（Setting value）And PV-OP
Figure.Upper lower limiting frequency parameter logistic evidence is filtered according to band logical device is optimized determined by the present invention（OP and PV）After being filtered again
It is fitted by bielliptic(al), obtains=62%.Due to=62%>=60%, judge ellipse fitting success, fitting result AS=during optimizing frequency
0.18, thus can determine whether that the loop is present viscous, this fits like a glove with actual conditions.And press band logical device filtering of the prior art
Upper lower limiting frequency choosing method, is fitted by bielliptic(al) again after being filtered, and obtains=41.8%.Due to=41.8%<=60%, judge
Ellipse fitting fails, and obtains the result of mistake, i.e. loop is not viscous.
Contrast experiment 2：As shown in Fig. 3 a to Fig. 3 c, this is the industrial data by the viscous Liquid level of physical presence
OP, PV, SP and PV-OP figure for being drawn.Upper lower limiting frequency parameter pair is filtered according to band logical device is optimized determined by the present invention
Data（OP and PV）It is fitted by bielliptic(al) again after being filtered, obtains=98%.Due to=98%>=60%, judge ellipse fitting success,
Fitting result AS=1.18 during optimizing frequency, thus can determine whether that the loop is present viscous, and this fits like a glove with actual conditions.And press
The upper lower limiting frequency choosing method of band logical device filtering of the prior art, is fitted by bielliptic(al) again after being filtered, obtain=
41.7%.Due to=41.7%<=60%, judge ellipse fitting failure, obtain the result of mistake, i.e. loop is not viscous.
In above-mentioned experiment, Pset values are 60%, but those skilled in the art can select according to different situations
Different numerical value.
Claims (8)
1. a kind of grid frequency that can improve the viscous degree recall rate of pneumatic control valve sets bielliptic(al) approximating method, and its feature exists
In the upper cut off frequency of bandpass filter and the selection process of lower limiting frequency are as follows：
The upper limit of S1, the upper cut off frequency of setting bandpass filter（fHmax）And lower limit（fHmin）, lower limiting frequency the upper limit
（fLmax）And lower limit（fLmin）, and upper cut off frequency step-length（Step_H）With lower limiting frequency step-length（Step_L）；
S2, search upper cut off frequency and lower limiting frequency, calculate the subset data section points between interior oval and outer ellipse
Account for the percentage of all points of whole subset data section；
Upper cut off frequency is reduced downwards according to upper cut off frequency step-length from the upper limit of upper cut off frequency, or from upper cut off frequency
Lower limit increases upwards, obtains multigroup given upper cut off frequency；
Lower limiting frequency is reduced downwards according to lower limiting frequency step-length from the upper limit of lower limiting frequency, or from lower limiting frequency
Lower limit increases upwards, obtains multigroup given lower limiting frequency；
Any one given upper cut off frequency and any one given lower limiting frequency are constituted into cut-off frequency group, for each section
Only group of frequencies；
Count the percentage that the subset data section points between oval and outer ellipse account for all points of whole subset data section
Than, and obtain largest percentage and upper cut off frequency corresponding with largest percentage and lower limiting frequency；
If S3, largest percentage（P max ）More than or equal to percentage threshold（P set ）, then judge that generation is viscous.
2. the grid frequency setting bielliptic(al) fitting of the viscous degree recall rate of pneumatic control valve can be improved as claimed in claim 1
Method, it is characterised in that in step s 2,
Search out percentage（P new ）In largest percentage（P max ）Method be：The percentage that obtains more afterwards with preceding acquisition
Percentage size, if the rear percentage for obtaining is more than the percentage for first obtaining, the percentage obtained after retaining, and remembering
Record upper cut off frequency and lower limiting frequency；Otherwise, the percentage obtained after giving up.
3. the grid frequency setting bielliptic(al) fitting of the viscous degree recall rate of pneumatic control valve can be improved as claimed in claim 1
Method, it is characterised in that in step s 2, searches out percentage（P new ）In largest percentage（P max ）Method be：Record
Count and account for whole number of subsets with the corresponding subset data section between interior oval and outer ellipse of lower frequency limit per class upper limit frequency
According to the percentage of all points of section, and therefrom select largest percentage.
4. the grid frequency setting bielliptic(al) of the viscous degree recall rate of pneumatic control valve can be improved as claimed in claim 1 or 2
Approximating method, it is characterised in that interior oval being reduced by the first zoom factor by standard ellipse obtains；The outer ellipse is by marking
Accurate oval amplification by the second zoom factor obtains.
5. the grid frequency setting bielliptic(al) fitting of the viscous degree recall rate of pneumatic control valve can be improved as claimed in claim 4
Method, it is characterised in that first zoom factor is equal to the second zoom factor.
6. the grid frequency setting bielliptic(al) fitting of the viscous degree recall rate of pneumatic control valve can be improved as claimed in claim 5
Method, it is characterised in that first zoom factor and the second zoom factor are 12% ~ 18%.
7. the grid frequency setting bielliptic(al) fitting of the viscous degree recall rate of pneumatic control valve can be improved as claimed in claim 6
Method, it is characterised in that first zoom factor and the second zoom factor are 15%.
8. the grid frequency setting bielliptic(al) fitting of the viscous degree recall rate of pneumatic control valve can be improved as claimed in claim 1
Method, it is characterised in that the percentage threshold（P set ）It is 50 ~ 70%；The upper limit of the upper cut off frequency of the bandpass filter
（fHmax）It is 0.5, lower limit（fHmin）It is 0.02；The upper limit of lower limiting frequency（fLmax）Less than 0.02, lower limit（fLmin）It is 0.001；
The upper cut off frequency step-length（Step_H）It is 0.01 ~ 0.05, lower limiting frequency step-length（Step_L）It is 0.001 ~ 0.002.
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| CN102590775A (en) * | 2012-01-08 | 2012-07-18 | 中国船舶重工集团公司第七一0研究所 | Method and device for determining orthogonality of dual-axis magnetic sensor by using elliptical vertical intercept method |
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2013
- 2013-05-02 CN CN201310159959.5A patent/CN103279119B/en not_active Expired - Fee Related
- 2013-05-02 CN CN201510124696.3A patent/CN104865920B/en not_active Expired - Fee Related
- 2013-05-02 CN CN201510124491.5A patent/CN104865952B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101846588A (en) * | 2009-03-24 | 2010-09-29 | 星枫科技（北京）有限公司 | Method for detecting valve viscous jumping characteristic on basis of mode search |
| CN102402232A (en) * | 2010-09-10 | 2012-04-04 | 西门子（中国）有限公司 | Non-contact straightness measuring system and work frequency control method thereof |
| CN102435807A (en) * | 2011-10-10 | 2012-05-02 | 电子科技大学 | Method for improving bandwidth of digital oscilloscope |
Also Published As
| Publication number | Publication date |
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| CN104865920A (en) | 2015-08-26 |
| CN104865952B (en) | 2017-05-24 |
| CN103279119B (en) | 2015-07-29 |
| CN103279119A (en) | 2013-09-04 |
| CN104865952A (en) | 2015-08-26 |
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