CN109499876A - Removal of impurities frequency-changing control system and control method are cleaned based on the peanut adaptively perceived - Google Patents
Removal of impurities frequency-changing control system and control method are cleaned based on the peanut adaptively perceived Download PDFInfo
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- CN109499876A CN109499876A CN201811463009.0A CN201811463009A CN109499876A CN 109499876 A CN109499876 A CN 109499876A CN 201811463009 A CN201811463009 A CN 201811463009A CN 109499876 A CN109499876 A CN 109499876A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B9/00—Combinations of apparatus for screening or sifting or for separating solids from solids using gas currents; General arrangement of plant, e.g. flow sheets
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B1/00—Sieving, screening, sifting, or sorting solid materials using networks, gratings, grids, or the like
- B07B1/28—Moving screens not otherwise provided for, e.g. swinging, reciprocating, rocking, tilting or wobbling screens
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B11/00—Arrangement of accessories in apparatus for separating solids from solids using gas currents
- B07B11/04—Control arrangements
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B4/00—Separating solids from solids by subjecting their mixture to gas currents
- B07B4/08—Separating solids from solids by subjecting their mixture to gas currents while the mixtures are supported by sieves, screens, or like mechanical elements
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Apparatuses For Bulk Treatment Of Fruits And Vegetables And Apparatuses For Preparing Feeds (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
Abstract
The present invention, which discloses, a kind of cleans removal of impurities frequency-changing control system and control method based on the peanut adaptively perceived, on the optimum speed proportion for the initial model established, according to peanut humidity and feed quantity information realization adaptive analysis, obtain optimal speed increment, real-time control according to frequency converter is adjusted on the basis of model, obtain an optimal actual motion speed, realize film, cauline leaf impurity, the chpn on the vibrating such as soil block, and the lighter impurity in upper layer is siphoned away in conjunction with top blower suction, peanut, soil block etc., which also achieves, efficiently separates discharge, the revolving speed of vibrating motor and blower is automatically adjusted by feed quantity size and humidity, under the premise of guaranteeing that peanut cleans removal of impurities quality, reduce the energy consumption that peanut cleans exclusion device, improve the overall efficiency for cleaning removal of impurities.
Description
Technical field
The present invention relates to the frequency conversion control techniques that removal of impurities is cleaned based on the peanut adaptively perceived, clean and clean in peanut
Cheng Zhong adjusts the revolving speed size for cleaning exclusion device motor, by frequency converter for the continuous variation of peanut feed quantity to reach
To reduction energy consumption, obtain optimal working effect.
Background technique
Peanut is the main industrial crops in China, and cultivated area and total output are at the forefront in the world.China has become generation
Most important peanut production state and peanut country of consumption in boundary, while being also the largest peanut exported country.Since peanut is in mechanization
After harvest, pod still contains the plurality of impurities such as a large amount of soil blocks, stone, cauline leaf, grass cuttings, residual film, will increase at product following process
The difficulty of reason, it is not only time-consuming and laborious in this way, also reduction harvesting peanut operating efficiency a series of problems, such as.These problems there are tight
The quality for affecting peanut industry product again restricts the raising of peasant economy benefit, reduces China in peanut and exports field
In international competitiveness.
Peanut is cleaned removal of impurities work and is reduced labor intensity with it, improve operating efficiency, reduce cost, improve peanut yield etc.
Advantage and get more and more people's extensive concerning.Currently, especially technology is more mature in terms of Mechanization sowing and mechanized harvest,
But clean in mechanization except in auxiliary work, removal of impurities operating equipment development level on the one hand, which is cleaned, by existing peanut is limited, city
Do not have also on field and the device for reaching peanut and cleaning removal of impurities requirement is adjusted by the mutual of equipment room, it is clear seriously to restrict mechanical peanutization
The miscellaneous working efficiency of blanking increases difficulty and cost that peanut cleans removal of impurities work.On the other hand, current peanut, which is cleaned, removes
Miscellaneous equipment development degree is also immature, not perfect, and not high enough, benefit that there are dust removal rates increases the prominent questions such as limited, especially
It is to be difficult to realize to the removal of impurities of residual film, lightweight stalk.
In view of status, need to research and develop a kind of with impurities removing efficiency is high, operating cost is low, cleans except the high peanut of impurity level is cleaned
Impurity removing technology scheme reaches and improves the requirement that peanut cleans removal of impurities cleanliness, reduces operating cost, increases economic benefit, to rush
It has very important significance into modern peanut industry system progress.
Summary of the invention
The present invention is to solve existing equipment peanut to clean the technical problem that impurities removing efficiency is low, percentage of impurity is high, loss late is big, is proposed
It is a kind of that removal of impurities frequency-changing control system and control method are cleaned based on the peanut adaptively perceived, pass through feeding amount detecting device induction
Peanut feed quantity size, and the frequency of vibrating motor is automatically adjusted by controller according to feed quantity size, and then change motor and turn
Speed reduces the energy consumption that peanut cleans exclusion device under the premise of guaranteeing that peanut cleans removal of impurities quality, and the whole of removal of impurities is cleaned in raising
Body efficiency.
The present invention, which is that the following technical solution is employed, to be realized: the present invention proposes a kind of clear based on the peanut adaptively perceived
The miscellaneous method for controlling frequency conversion of blanking, comprising the following steps:
Step S1, state modeling:
Condition model is established according to the content of film contained in peanut to be cleaned, cauline leaf and soil block, and is built by experiment
Mould analysis obtains the initial optimum speed of corresponding vibrating motor and blower under each condition model；
Step S2, adaptive-feedrate adjustment:
According to the feed quantity information data of feeding amount detecting device acquisition, is analyzed by controller and obtain vibrating motor and blower
Velocity variations value, and the corresponding frequency regulating amount of velocity variations value that analysis obtains corresponding is transferred to motor frequency conversion
Device and fan frequency converter are realized the adjustment to vibrating motor and rotation speed of fan, are specifically included:
Step S21, data acquisition and error compensation:
(1) hardware design pre-compensates for:
Feeding amount detecting device setting cleans de-burring machine feeding inlet in peanut, including dentation mounting plate and symmetrical
Multiple strip gear pieces on dentation mounting plate are set, are provided with strain-ga(u)ge transducer, the strip on strip gear piece
Gear piece is made of ferrous material, and the resonant frequency point of strip gear piece is higher than the vibration frequency of feeding inlet location；
(2) software design pre-compensates for:
Under different rotating speeds, the determination of offset error: according to the actual speed range of operation of vibrating motor and blower, set more
The velocity amplitude of the different gradients of group, records the output of all strain-ga(u)ge transducers under every group of data respectively, when being used for self adaptive control
Compensation and correction；
Step S22, feed quantity information extraction:
(1) single strain-ga(u)ge transducer numerical value determines: set by during being pre-compensated for based on software design in step S21
The corresponding output of each strain-ga(u)ge transducer, seeks matched curve using least square method, in turn under velocity amplitude and corresponding revolving speed
According to the actual speed of vibrating motor and blower, the current compensation rate of each strain-ga(u)ge transducer is obtained, and then every after being compensated
The numerical value of a strain-ga(u)ge transducer；
(2) determination of practical feed quantity information:
Numerical value P1, P2 ... Pi, i for compensated each strain-ga(u)ge transducer obtained are strain-ga(u)ge transducer
Quantity, then current practical feed quantity Y take weight method carry out Data Fusion acquisition, it may be assumed that
Mistake！Reference source is not found.
Wherein, α1, α2……αiThe corresponding weight of respectively i strain-ga(u)ge transducer；
Step S23, vibrating motor and rotation speed of fan determine:
Vibrating motor velocity variations value and blower motor velocity variations value are obtained respectively based on practical feed quantity information Y:
Vibrating motor velocity variations value=feed quantity × 3.12
Blower motor velocity variations value=feed quantity × 6.68
In turn, the velocity variations value of the velocity variations value of vibrating motor and blower motor is converted into frequency, respectively by it
Corresponding frequency converter realizes control.
It further, further include being detected to peanut humidity when realizing adaptive-feedrate adjustment in the step S2
The step of, the peanut humidity that will test by humidity sensor is transmitted to controller and is analyzed and processed；
In view of the difference of humidity sensor type, humidity information collected is subjected to range processing and is mapped to 0-100
Between:
Establish the relational expression between humidity and vibrating motor and blower motor revolving speed:
Vibrating motor velocity variations value=humidity value × 1.42
Blower motor velocity variations value=humidity value × 5.45
In turn, the velocity variations value of the velocity variations value of vibrating motor and blower motor is converted into frequency, respectively by it
Corresponding frequency converter realizes control.
It further, further include being detected to peanut humidity when realizing adaptive-feedrate adjustment in the step S2
The step of, and the humidity information that will test acquisition is divided into " partially dry, medium, partially wet " three gears, is obtained by modeling analysis
The velocity variable of vibrating motor and blower under each gear realizes that the vibrating motor for combining humidity information and blower motor turn
Fast adaptive adjustment.
Further, the condition model of foundation described in the step S1 includes: model 1: film is few, cauline leaf is few, soil block
It is few；Model 2: film is few, cauline leaf is few, soil block is more；Model 3: film is few, cauline leaf is more, soil block is few；Model 4: film is few, cauline leaf is more,
Soil block is more；Model 5: film is more, cauline leaf is few, soil block is few；Model 6: film is more, cauline leaf is few, soil block is more；Model 7: film is more, stem
Ye Duo, soil block are few；Model 8: film is more, cauline leaf is more, soil block is more.
Further, in the step S22, when determining practical feed quantity information, first according to specific operating condition type pair
The strain-ga(u)ge transducer data that numerical value is in abnormality are rejected, and are determining the corresponding weight of each strain-ga(u)ge transducer
When, the actual numerical value of all strain-ga(u)ge transducers is subjected to descending arrangement, and carry out weight according to the number of effective sensor
Distribution.
Further, the quantity of strip gear piece described in the step S21 is 6, corresponding strain-ga(u)ge transducer
Quantity be similarly 6 it is bad to avoid some strain-ga(u)ge transducer so that strain-ga(u)ge transducer is in distributed arrangement spatially
Falling cannot detect, and realize redundancy.
Further, the stiffness coefficient of strip gear piece described in the step S21 is 1.526 ± 0.316N/mm.
In addition the present invention also proposes a kind of to clean removal of impurities frequency-changing control system, including peanut based on the peanut adaptively perceived
Clean de-burring machine and its controller；Peanut feeding amount detecting device, moisture detection sensor, blower are provided on groundnut cleaner
And fan frequency converter, vibrating motor and motor inverter；The fan frequency converter, motor inverter, peanut feed amount detection device
Set and peanut moisture detection sensor be electrically connected with the controller, peanut feeding amount detecting device include dentation mounting plate and
The multiple strip gear pieces being symmetricly set on dentation mounting plate are provided with strain-ga(u)ge transducer on strip gear piece；
The top that peanut cleans de-burring machine rack, vibrating motor and motor frequency conversion is arranged in the blower and fan frequency converter
The lower part that peanut cleans de-burring machine rack is arranged in device, and it includes the vibrating screen being obliquely installed, the vibration that peanut, which cleans de-burring machine,
Dynamic mesh screen is connected with vibrating motor, and peanut feeds amount detecting device and is arranged at peanut spout；
The controller includes model building module, error correction module, data analysis module and velocity-frequency conversion
And transmission module, the model building module establish work according to the content of film contained in peanut to be cleaned, cauline leaf and soil block
Condition model, and pass through the initial best speed of corresponding vibrating motor and blower under each condition model of Experimental modeling analysis acquisition
Degree；The error correction module sets the speed of multiple groups difference gradient according to the actual speed range of operation of vibrating motor and blower
Angle value records the output of all strain-ga(u)ge transducers under every group of data, compensation and correction when for self adaptive control respectively；Institute
Feed quantity information data of the data analysis module according to feeding amount detecting device acquisition is stated, and is obtained in conjunction with error correction module
Correction offset, by data analysis module analyze obtain vibrating motor and blower velocity variations value, and will analysis obtain
Regulated quantity is converted by velocity-frequency and transmission module is sent to corresponding motor inverter and fan frequency converter, is realized to vibration
The adjustment of dynamic motor and rotation speed of fan.
Compared with prior art, the advantages and positive effects of the present invention are:
The frequency conversion control technique that this programme is proposed is controlled by the optimum proportioning to mode of oscillation and fan delivery, a side
Face the orderly stripping of the best chpn and middle low layer material fruit and soil rock of vibration on-the-sieve material is realized according to material specific gravity
From；On the other hand, according to material on the middle and senior level composition and its wind surface situation, the orderly separation of fruit and cauline leaf film is realized, from
And improve peanut by accurate frequency conversion and clean impurity-eliminating effect, Overall Power Consumption is reduced, is suitable for the removal of impurities of different feed quantities, different humidity
The technical systems such as tupe, state parameter detection are cleaned, the big minor adjustment of fan delivery, shaker vibration frequency tune are breached
Section, advance between the key technologies such as feed quantity detection, systematization solve peanut clean fruit soil sub-argument in operation process it is unclear, containing miscellaneous
The technical problems such as rate is high, loss late is big, save production cost, improve operating efficiency, increase peasant and are benefited, guarantee crop quality,
It can be widely applied to the peanut harvesting machineries such as peanut combination harvest simultaneously.
Detailed description of the invention
Fig. 1 is control system functional block diagram described in the embodiment of the present invention；
Fig. 2 is the complete machine structure schematic diagram that peanut described in the embodiment of the present invention cleans de-burring machine；
Fig. 3 is the overlooking structure diagram after the installation of dentation mounting plate described in the embodiment of the present invention；
Fig. 4 is the schematic perspective view of dentation mounting plate；
Wherein, 1, belt；2, vibrating motor；3, rack；4, vibrating screen；5, rubble discharge bucket；6, hopper；7, it answers
Become piece；8, peanut spout；9, blower；10, scroll casing type suction cover；11, control cabinet；12, trapezoidal semiclosed fluid jacket；13, it dredges
Port；14, discharge port；15, cam；16, dentation mounting plate；17, strip gear piece.
Specific embodiment
In order to which the above objects, features and advantages of the present invention is more clearly understood, with reference to the accompanying drawing and implement
The present invention will be further described for example.It should be noted that in the absence of conflict, in embodiments herein and embodiment
Feature can be combined with each other.
Embodiment 1, it is a kind of removal of impurities frequency-changing control system is cleaned based on the peanut adaptively perceived, as depicted in figs. 1 and 2,
De-burring machine and its controller are cleaned including peanut, the controller includes model building module, error correction module, data analysis
Module and velocity-frequency conversion and transmission module are provided with peanut feeding amount detecting device, peanut humidity on groundnut cleaner
Detection sensor, blower and fan frequency converter, vibrating motor and motor inverter, as shown in Fig. 2, the blower 9 and blower become
The top that peanut cleans de-burring machine rack 3 is arranged in frequency device, and vibrating motor 2 and motor inverter, which are arranged, cleans de-burring machine in peanut
The lower part of rack 3, it includes the vibrating screen 4 being obliquely installed, the vibrating screen 4 and 2 phase of vibrating motor that peanut, which cleans de-burring machine,
Even, peanut feeds amount detecting device and is arranged at peanut spout 8, the fan frequency converter, motor inverter, peanut feed quantity
Detection device and peanut moisture detection sensor are electrically connected with the controller, and the controller is arranged in control cabinet 11, such as Fig. 3
With shown in Fig. 4, the peanut feeding amount detecting device includes dentation mounting plate 16 and is symmetricly set on more on dentation mounting plate
The root lower end of a strip gear piece 17, strip gear piece 17 is provided with strain-ga(u)ge transducer.
The system at work, the peanut feed quantity size that be will test out by strain-ga(u)ge transducer pass to controller into
Row analysis processing, and the result after processing analysis is passed into fan frequency converter and motor inverter, by fan frequency converter and
Motor inverter controls the working frequency of blower and vibrating motor respectively, and final realize adjusts reciprocating vibrating type inclination establishment mesh screen
The Oscillation Amplitude and wind of (vibrating screen) inhale the suction size of motor, specific:
One, condition model is established by model building module:
Model building module establishes condition model according to the content of film contained in peanut to be cleaned, cauline leaf and soil block,
And the initial optimum speed of corresponding vibrating motor and blower under each condition model, the work are obtained by Experimental modeling analysis
Condition model is as shown in table 1, comprising: model 1: film is few, cauline leaf is few, soil block is few；Model 2: film is few, cauline leaf is few, soil block is more；Mould
Type 3: film is few, cauline leaf is more, soil block is few；Model 4: film is few, cauline leaf is more, soil block is more；Model 5: film is more, cauline leaf is few, soil block
It is few；Model 6: film is more, cauline leaf is few, soil block is more；Model 7: film is more, cauline leaf is more, soil block is few；Model 8: film is more, cauline leaf is more,
Soil block is more.
Table 1: model description
| Model | Description |
| 1 | Film is few, cauline leaf is few, soil block is few |
| 2 | Film is few, cauline leaf is few, soil block is more |
| 3 | Film is few, cauline leaf is more, soil block is few |
| 4 | Film is few, cauline leaf is more, soil block is more |
| 5 | Film is more, cauline leaf is few, soil block is few |
| 6 | Film is more, cauline leaf is few, soil block is more |
| 7 | Film is more, cauline leaf is more, soil block is few |
| 8 | Film is more, cauline leaf is more, soil block is more |
Under each condition model, corresponding vibrating motor and the initial optimum speed of blower are defaulted as being minimum value,
That is guaranteeing film, cauline leaf impurity, soil block contained in the peanut by feeding etc. by giving an initial vibrational state
By vibrating screen throw it is discrete in the air open, various impurity can be realized to effective layering.
Since specifically at runtime, vibrating motor and blower can be respectively controlled according to actual condition, so the two is transported
Scanning frequency degree can generate variation, and the mechanical oscillation of various intensity are had so as to cause basic machine, and then cause to incude foil gauge
The perturbation vibration of itself, in order to overcome the portion disturbances, the present embodiment is done accordingly in terms of hardware design and software design
Innovative design.
(1) following processing mode is used in terms of hardware design:
A, the processing in strain-ga(u)ge transducer number and shape:
The strip gear piece 17 is made of ferrous material, and strip gear piece 17 designs 6 altogether, so that foil gauge senses
In distributed arrangement spatially, breaking down to avoid some strain-ga(u)ge transducer cannot detect device 17, realize redundancy, having certainly
When body is implemented, the quantity of set strain-ga(u)ge transducer can be selected according to the actual situation.
And what is finally wanted is the stiffness coefficient that optimum strip gear piece is obtained by modeling analysis.Due to running
In the process, vibrating motor and blower can be respectively controlled according to actual condition, so the two speed of service can generate variation, from
And causes peanut to clean de-burring machine basic machine and generate the big mechanical oscillation of varying strength, and then will lead to disturbing for foil gauge itself
Dynamic property vibration, in order to overcome the portion disturbances, sets the stiffness coefficient of strip gear piece in the present embodiment, passes through vibration
The dynamic speed experiments of motor and blower under different operating conditions measure peanut and clean the whole mechanical vibration at feeding mouth position of de-burring machine
Then dynamic frequency selects the stiffness coefficient of suitable strip gear piece, its resonant frequency point is made to be higher than the vibration at feeding mouth position
Frequency, by avoiding the resonance of ferrous material, thus reduce influence of the mechanical carrier to ferrous material, the strip gear piece
Stiffness coefficient is 1.526N/mm (Newton/millimeter), can also be floated up and down on the basis of the numerical value certainly.
(2) software processing mode is realized by error correction module:
In actual moving process, although by selecting the stiffness coefficient of suitable strip gear piece to avoid resonance,
Still there is resonance, under above-mentioned 8 condition models, in the case where the feeding of no peanut, current strain-ga(u)ge transducer is
It through outputing, therefore in actual treatment, needs to correct the error, to guarantee the accuracy of later data processing.
Two, adaptive-feedrate adjustment process:
When actual motion, according to the feed quantity information data of feeding amount detecting device acquisition, and error correction module is combined
Correction offset obtained is analyzed the velocity variations value for obtaining vibrating motor and blower by data analysis module, and will analysis
The regulated quantity of acquisition is converted by velocity-frequency and transmission module is sent to corresponding motor inverter and fan frequency converter, real
Now to the adjustment of vibrating motor and rotation speed of fan.
(1) under different rotating speeds offset error determination:
According to the actual speed range of operation of vibrating motor and blower, the velocity amplitude of multiple groups difference gradient is set, such as raw
At 10 groups of data, as shown in table 2, the revolving speed of vibrating motor is that (blower runs model under normal circumstances from 1400-2900r/min
Enclose), matched by friction speed recorded respectively at 10 groups lower 6 strain-ga(u)ge transducers of every group of data output it is (namely so-called
Error compensation amount), for compensating and correcting；
Table 2: vibrating motor and rotation speed of fan data
(2) single strain-ga(u)ge transducer numerical value determines:
Then connect lower need based on the data in feeding amount detecting device real time data realization system work process collected
Compensation is corrected and analysis processing, and 6 set strain-ga(u)ge transducers are independent from each other in this programme, therefore needs to individually answering
The data for becoming the acquisition of piece sensor carry out fusion treatment by being then sent through data analysis module after the correction of error correction module, in order to
The accurate acquisition for guaranteeing single strain-ga(u)ge transducer compensation rate, based on revolving speed and each foil gauge corresponding to above-mentioned 10 groups of data
The output of sensor seeks fitting a straight line using least square method, further according to the actual speed of vibrating motor and blower, seeks each
The current compensation rate of strain-ga(u)ge transducer, and then obtain the numerical value of compensated each strain-ga(u)ge transducer.Because the peanut is clear
Blanking is lived together in field, can constantly convert work-yard according to operating location, so above-mentioned data and its matched curve are dynamic
It is determined under state, Experiment Modeling according to the actual situation is needed, not underrange, in the case where disclosing the thinking, to this field
Be for technical staff clearly, it is enforceable.
(3) according to strain-ga(u)ge transducer data collected, feed quantity information is determined by data analysis module, that is, is realized
The determination of distributed strain piece sensor values:
For numerical value P1, P2 ... the P6 of compensated single strain-ga(u)ge transducer obtained, current feed quantity Y is adopted
The method of weighting value carries out Data Fusion acquisition, since the materials such as peanut are that discontinuous acts on sensor, in order to both simultaneous
Real-time is cared for, and takes into account discontinuity feature, so 100ms is set as to the sampling period of each sensor, after accumulating 10 times
(1s), the actual value that each sensor takes its maximum value to handle as participation present fusion, specifically:
Mistake！Reference source is not found.(mistake！Reference source is not found.)
Wherein, α1, α2……α6The corresponding weight of respectively 6 strain gauge transducers passes 6 distributed strain pieces
Sensor determines the condition model of each sensor first, and strain-ga(u)ge transducer (each operating condition of abnormality is in for numerical value
Under, feed quantity has a value range, then thinks data exception more than threshold value), system can generate alarm, then adopted the foil gauge
The data of collection are removed from sensor array, that is, are not involved in subsequent calculating, and until alarm release, above-mentioned weight is strained accordingly
After exception occurs in piece sensor, corresponding weight is 0；The actual value numerical value of all sensors is subjected to descending arrangement, according to
According to the number of effective sensor, weight are as follows:
Table 3: weight distribution principle
(4) vibrating motor and rotation speed of fan determine:
A, the relational expression obtained between feed quantity Y and vibrating motor and rotation speed of fan, tool are analyzed by data analysis module
Body is as follows
Vibrating motor velocity variations value=feed quantity × 3.12
Blower motor velocity variations value=feed quantity × 6.68
In turn, by velocity-frequency conversion module by the velocity variations value of vibrating motor and the velocity variations of blower motor
Value is converted to frequency, realizes control by its corresponding frequency converter respectively, realizes the chpn to peanut, impurity.
In addition, in the present embodiment, due under peanut different dry humidity condition, when cleaning to vibrating motor and blower
It is required that being also different, therefore also considered when peanut is sent into spout and peanut humidity is detected, passes through humidity sensor
The peanut humidity that will test is transmitted to data analysis module and is analyzed and processed；
In view of the difference of humidity sensor type, the different reality of humidity range, in order to adapt to different sensings
Humidity is carried out range processing in this implementation and is mapped between 0-100 by device:
And then establish the relational expression between humidity and vibrating motor and blower motor revolving speed:
Vibrating motor velocity variations value=humidity value × 1.42
Blower motor velocity variations value=humidity value × 5.45
In turn, by velocity-frequency conversion module by the velocity variations value of vibrating motor and the velocity variations of blower motor
Value is converted to frequency, realizes control by its corresponding frequency converter respectively, realizes the chpn to peanut, impurity.
Certainly, it in addition to the above-mentioned precise measurement to humidity data, also can choose " partially dry, medium, inclined under fringe
It is wet " three-stage gear, the speed of a signal is set under each gear by Experimental modeling, it is same to can be achieved to combine humidity information
Vibrating motor and blower motor revolving speed adaptively adjust.
Embodiment 2, based on it is described in embodiment 1 based on the peanut adaptively perceived clean removal of impurities frequency-changing control system control
Method processed, comprising the following steps:
One, state modeling:
Firstly, establishing condition model according to the content of film contained in peanut to be cleaned, cauline leaf and soil block, and pass through reality
The initial optimum speed that modeling analysis obtains corresponding vibrating motor and blower under each condition model is tested, the condition model is such as
Shown in table 1, comprising: model 1: film is few, cauline leaf is few, soil block is few；Model 2: film is few, cauline leaf is few, soil block is more；Model 3: film
Less, cauline leaf is more, soil block is few；Model 4: film is few, cauline leaf is more, soil block is more；Model 5: film is more, cauline leaf is few, soil block is few；Model 6:
Film is more, cauline leaf is few, soil block is more；Model 7: film is more, cauline leaf is more, soil block is few；Model 8: film is more, cauline leaf is more, soil block is more.
Under each condition model, corresponding vibrating motor and the initial optimum speed of blower are defaulted as being minimum value,
That is guaranteeing film, cauline leaf impurity, soil block contained in the peanut by feeding etc. by giving an initial vibrational state
By vibrating screen throw it is discrete in the air open, various impurity can be realized to effective layering.
Two, adaptive-feedrate adjustment:
When actual motion, according to the feed quantity information data of feeding amount detecting device acquisition, shaken by controller analysis
The velocity variations value of dynamic motor and blower, and motor inverter and blower are transferred to by regulated quantity that analysis obtains is corresponding
Frequency converter realizes the adjustment to vibrating motor and rotation speed of fan, specifically includes the following steps:
1, data acquisition and error compensation:
(1) hardware design pre-compensates for:
The feeding inlet that peanut cleans de-burring machine is arranged in the feed quantity information detector, as shown in Figures 3 and 4,
Feed quantity information detector includes dentation mounting plate 16 and the strip gear piece 17 being symmetricly set on dentation mounting plate, strip
Strain-ga(u)ge transducer is provided on shape gear piece 17, the dentation mounting plate is arranged at spout diagonally downward, foil gauge sensing
The lower surface of 17 root of strip gear piece is arranged in device, and the strip gear piece 17 is made of ferrous material, in the present embodiment,
The strip gear piece 17 designs 6 altogether, so that strain-ga(u)ge transducer 17 is answered in distributed arrangement spatially to avoid some
Become piece sensor to break down and cannot detect, realizes that redundancy can select set answer certainly in the specific implementation according to the actual situation
Become the quantity of piece sensor.
In addition, it is necessary to especially illustrate, since in the process of running, vibrating motor and blower can be according to actual conditions point
It is not controlled, so the two speed of service can generate variation, cleans de-burring machine basic machine so as to cause peanut and generate difference
The big mechanical oscillation of intensity, and then will lead to the perturbation vibration of foil gauge itself, in order to overcome the portion disturbances, the present embodiment
In the stiffness coefficient of strip gear piece is set, by the speed experiments of vibrating motor and blower under different operating conditions,
It measures peanut and cleans the whole mechanical vibration frequency at feeding mouth position of de-burring machine, then select the rigid of suitable strip gear piece
Coefficient is spent, so that its resonant frequency point is higher than the vibration frequency at feeding mouth position, by avoiding the resonance of ferrous material, to reduce
Influence of the mechanical carrier to ferrous material, the stiffness coefficient of the strip gear piece are 1.526N/mm (Newton/millimeter), certainly
It can also float up and down on the basis of the numerical value.
(2) software design pre-compensates for:
In actual moving process, although by selecting the stiffness coefficient of suitable strip gear piece to avoid resonance,
Still there is resonance, under above-mentioned 8 condition models, in the case where the feeding of no peanut, current strain-ga(u)ge transducer is
It through outputing, therefore in actual treatment, needs that the error is corrected and proposed, to guarantee the accurate of later data processing
Degree.
(21), under different rotating speeds, the determination of offset error:
According to the actual speed range of operation of vibrating motor and blower, the velocity amplitude of multiple groups difference gradient is set, such as raw
At 10 groups of data, as shown in table 2, the revolving speed of vibrating motor is that (blower runs model under normal circumstances from 1400-2900r/min
Enclose), matched by friction speed recorded respectively at 10 groups lower 6 strain-ga(u)ge transducers of every group of data output it is (namely so-called
Error compensation amount), for compensating and correcting；
2, feed quantity information extraction during adaptive-feedrate adjustment:
(1) single strain-ga(u)ge transducer numerical value determines:
6 set strain-ga(u)ge transducers are independent from each other in this programme, therefore are needed to single strain-ga(u)ge transducer
It is then sent through controller after the data correction of acquisition and carries out fusion treatment, in order to guarantee the accurate of single strain-ga(u)ge transducer compensation rate
It obtains, based on the output of revolving speed and each strain-ga(u)ge transducer corresponding to above-mentioned 10 groups of data, is sought using least square method
Fitting a straight line seeks the current compensation rate of each strain-ga(u)ge transducer further according to the actual speed of vibrating motor and blower, and then obtains
Obtain the numerical value of compensated each strain-ga(u)ge transducer.It, can be according to operating location not because the peanut cleans removal of impurities and is in field
Disconnected transformation work-yard, thus above-mentioned data and its matched curve be it is determining in a dynamic state, need to test according to the actual situation
Modeling, not underrange, in the case where disclosing the thinking, be for a person skilled in the art clearly, it is enforceable.
(2) determination of feed quantity information, the i.e. determination of distributed strain piece sensor values:
For numerical value P1, P2 ... the P6 of compensated single strain-ga(u)ge transducer obtained, current feed quantity Y is adopted
The method of weighting value carries out Data Fusion acquisition, since the materials such as peanut are that discontinuous acts on sensor, in order to both simultaneous
Real-time is cared for, and takes into account discontinuity feature, so 100ms is set as to the sampling period of each sensor, after accumulating 10 times
(1s), the actual value that each sensor takes its maximum value to handle as participation present fusion, specifically:
Mistake！Reference source is not found.(mistake！Reference source is not found.)
Wherein, α1, α2……α6The corresponding weight of respectively 6 strain gauge transducers passes 6 distributed strain pieces
Sensor determines the condition model of each sensor first, and strain-ga(u)ge transducer (each operating condition of abnormality is in for numerical value
Under, feed quantity has a value range, then thinks data exception more than threshold value), system can generate alarm, then adopted the foil gauge
The data of collection are removed from sensor array, that is, are not involved in subsequent calculating, and until alarm release, above-mentioned weight is strained accordingly
After exception occurs in piece sensor, corresponding weight is 0；The actual value numerical value of all sensors is subjected to descending arrangement, according to
According to the number of effective sensor, weight distribution principle is as shown in table 3.
3, vibrating motor and rotation speed of fan determine:
(1) relational expression obtained between feed quantity Y and vibrating motor and rotation speed of fan is analyzed by controller, specifically such as
Under:
Vibrating motor velocity variations value=feed quantity × 3.12
Blower motor velocity variations value=feed quantity × 6.68
In turn, the velocity variations value of the velocity variations value of vibrating motor and blower motor is converted into frequency, respectively by it
Corresponding frequency converter realizes control, realizes the chpn to peanut, impurity.
In addition, in the present embodiment, due under peanut different dry humidity condition, when cleaning to vibrating motor and blower
It is required that being also different, therefore further include the steps that detecting peanut humidity when peanut is sent into spout, passes through humidity
The peanut humidity that sensor will test is transmitted to controller and is analyzed and processed；
In view of the difference of humidity sensor type, the different reality of humidity range, in order to adapt to different sensings
Humidity is carried out range processing in this implementation and is mapped between 0-100 by device:
And then establish the relational expression between humidity and vibrating motor and blower motor revolving speed:
Vibrating motor velocity variations value=humidity value × 1.42
Blower motor velocity variations value=humidity value × 5.45
In turn, the velocity variations value of the velocity variations value of vibrating motor and blower motor is converted into frequency, respectively by it
Corresponding frequency converter realizes control, realizes the chpn to peanut, impurity.
Certainly, it in addition to the above-mentioned precise measurement to humidity data, also can choose " partially dry, medium, inclined under fringe
It is wet " three-stage gear, the speed of a signal is set under each gear by Experimental modeling, it is same to can be achieved to combine humidity information
Vibrating motor and blower motor revolving speed adaptively adjust.
This programme is on the optimum speed proportion for the initial model established, according to peanut humidity and feed quantity information
It realizes adaptive analysis, obtains optimal speed increment, the real-time control according to frequency converter is adjusted on the basis of model, is obtained
To an optimal actual motion speed, the chpn under vibrating screen such as film, cauline leaf impurity, soil block is realized, and combine
Top blower suction siphons away the lighter impurity in upper layer, and peanut, soil block etc., which also achieve, efficiently separates discharge, passes through feed quantity
The revolving speed of size and humidity automatic adjustment vibrating motor and blower reduces under the premise of guaranteeing that peanut cleans removal of impurities quality
Peanut cleans the energy consumption of exclusion device, improves the overall efficiency for cleaning removal of impurities, and certainly, the program is not limited to clean peanut,
Same mentality of designing can also be applied and be cleaned in the other similar crops such as soybean.
The above described is only a preferred embodiment of the present invention, being not that the invention has other forms of limitations, appoint
What those skilled in the art changed or be modified as possibly also with the technology contents of the disclosure above equivalent variations etc.
It imitates embodiment and is applied to other fields, but without departing from the technical solutions of the present invention, according to the technical essence of the invention
Any simple modification, equivalent variations and remodeling to the above embodiments, still fall within the protection scope of technical solution of the present invention.
Claims (8)
1. cleaning removal of impurities method for controlling frequency conversion based on the peanut adaptively perceived, which comprises the following steps:
Step S1, state modeling:
Condition model is established according to the content of film contained in peanut to be cleaned, cauline leaf and soil block, and passes through Experimental modeling point
Analysis obtains the initial optimum speed of corresponding vibrating motor and blower under each condition model；
Step S2, adaptive-feedrate adjustment:
According to the feed quantity information data of feeding amount detecting device acquisition, the speed for obtaining vibrating motor and blower is analyzed by controller
Changing value is spent, and the corresponding frequency regulating amount of velocity variations value that analysis obtains is transferred to vibrating motor frequency converter and wind respectively
Machine frequency converter is realized the adjustment to vibrating motor and rotation speed of fan, is specifically included:
Step S21, data acquisition and error compensation:
(1) hardware design pre-compensates for:
Feeding amount detecting device setting cleans de-burring machine feeding inlet in peanut, including dentation mounting plate and is symmetrical arranged
Multiple strip gear pieces on dentation mounting plate are provided with strain-ga(u)ge transducer, the strip gear piece on strip gear piece
It is made of ferrous material, and the resonant frequency point of strip gear piece is higher than the vibration frequency of feeding inlet location；
(2) software design pre-compensates for:
Under different rotating speeds, the determination of offset error: according to the actual speed range of operation of vibrating motor and blower, multiple groups are set not
With the velocity amplitude of gradient, the output of all strain-ga(u)ge transducers under every group of data, benefit when for self adaptive control are recorded respectively
It repays and corrects；
Step S22, feed quantity information extraction:
(1) single strain-ga(u)ge transducer numerical value determines: based on speed set during software design precompensation in step S21
The corresponding output of each strain-ga(u)ge transducer, seeks matched curve, and then basis using least square method under value and corresponding revolving speed
The actual speed of vibrating motor and blower obtains the current compensation rate of each strain-ga(u)ge transducer, and then each answers after being compensated
Become the numerical value of piece sensor；
(2) determination of practical feed quantity information:
Numerical value P1, P2 ... Pi, i for compensated each strain-ga(u)ge transducer obtained are the number of strain-ga(u)ge transducer
Amount, the then method that current practical feed quantity Y takes Dynamic Weights carry out Data Fusion acquisition, it may be assumed that
Mistake！Reference source is not found.
Wherein, α1, α2……αiThe corresponding weight of respectively i-th of strain-ga(u)ge transducer；
Step S23, vibrating motor and rotation speed of fan determine:
Vibrating motor velocity variations value and blower motor velocity variations value are obtained respectively based on practical feed quantity information Y:
Vibrating motor velocity variations value=feed quantity × 3.12
Blower motor velocity variations value=feed quantity × 6.68
In turn, the velocity variations value of the velocity variations value of vibrating motor and blower motor is converted into frequency, respectively by its correspondence
Frequency converter realize control.
2. according to claim 1 clean removal of impurities method for controlling frequency conversion based on the peanut adaptively perceived, it is characterised in that:
In the step S2, when realizing adaptive-feedrate adjustment, further includes the steps that detecting peanut humidity, be passed by humidity
The peanut humidity that sensor will test is transmitted to controller and is analyzed and processed；
In view of the difference of humidity sensor type, humidity information collected is subjected to range processing and is mapped between 0-100:
Establish the relational expression between humidity and vibrating motor and blower motor revolving speed:
Vibrating motor velocity variations value=humidity value × 1.42
Blower motor velocity variations value=temperature value × 5.45
In turn, the velocity variations value of the velocity variations value of vibrating motor and blower motor is converted into frequency, respectively by its correspondence
Frequency converter realize control.
3. according to claim 1 clean removal of impurities method for controlling frequency conversion based on the peanut adaptively perceived, it is characterised in that:
In the step S2, when realizing adaptive-feedrate adjustment, further include the steps that detecting peanut humidity, and will test and obtain
The humidity information obtained is divided into " partially dry, medium, partially wet " three gears, obtains the electricity of the vibration under each gear by modeling analysis
The velocity variable of machine and blower is realized and the vibrating motor of humidity information and blower motor revolving speed is combined adaptively to adjust.
4. according to claim 1-3 clean removal of impurities method for controlling frequency conversion based on the peanut adaptively perceived,
Be characterized in that: the condition model of foundation described in the step S1 includes: model 1: film is few, cauline leaf is few, soil block is few；Model 2:
Film is few, cauline leaf is few, soil block is more；Model 3: film is few, cauline leaf is more, soil block is few；Model 4: film is few, cauline leaf is more, soil block is more；Mould
Type 5: film is more, cauline leaf is few, soil block is few；Model 6: film is more, cauline leaf is few, soil block is more；Model 7: film is more, cauline leaf is more, soil block
It is few；Model 8: film is more, cauline leaf is more, soil block is more.
5. according to claim 1 clean removal of impurities method for controlling frequency conversion based on the peanut adaptively perceived, it is characterised in that:
In the step S22, when determining practical feed quantity information, abnormality is first according to specific operating condition type logarithm
Strain-ga(u)ge transducer data are rejected, and when determining the corresponding weight of each strain-ga(u)ge transducer, all foil gauges are passed
The actual numerical value of sensor carries out descending arrangement, and carries out weight distribution according to the number of effective sensor.
6. according to claim 1 clean removal of impurities method for controlling frequency conversion based on the peanut adaptively perceived, it is characterised in that:
The quantity of strip gear piece described in the step S21 is 6, and the quantity of corresponding strain-ga(u)ge transducer is similarly 6.
7. according to claim 1 clean removal of impurities method for controlling frequency conversion based on the peanut adaptively perceived, it is characterised in that:
The stiffness coefficient of strip gear piece described in the step S21 is 1.526 ± 0.316N/mm.
8. cleaning removal of impurities frequency-changing control system based on the peanut adaptively perceived, which is characterized in that clean de-burring machine including peanut
And its controller；Peanut feeding amount detecting device, moisture detection sensor, blower and fan frequency conversion are provided on groundnut cleaner
Device, vibrating motor and motor inverter；The fan frequency converter, motor inverter, peanut feeding amount detecting device and peanut are wet
Degree detection sensor is electrically connected with the controller, and the peanut feeding amount detecting device includes dentation mounting plate and is symmetricly set on
Multiple strip gear pieces on dentation mounting plate are provided with strain-ga(u)ge transducer on strip gear piece；
The top that peanut cleans de-burring machine rack is arranged in the blower and fan frequency converter, and vibrating motor and motor inverter are set
It sets and cleans the lower part of de-burring machine rack in peanut, it includes the vibrating screen being obliquely installed that peanut, which cleans de-burring machine, the vibration net
Sieve is connected with vibrating motor, and peanut feeds amount detecting device and is arranged at peanut spout；
The controller includes model building module, error correction module, data analysis module and velocity-frequency conversion and passes
Defeated module, the model building module establish operating condition mould according to the content of film contained in peanut to be cleaned, cauline leaf and soil block
Type, and pass through the initial optimum speed of corresponding vibrating motor and blower under each condition model of Experimental modeling analysis acquisition；Institute
Error correction module is stated according to the actual speed range of operation of vibrating motor and blower, sets the velocity amplitude of multiple groups difference gradient,
The output for recording all strain-ga(u)ge transducers under every group of data respectively, compensation and correction when for self adaptive control；The number
Feed quantity information data according to analysis module according to feeding amount detecting device acquisition, and combine that error correction module is obtained entangles
Positive offset amount is analyzed the velocity variations value for obtaining vibrating motor and blower, and the adjusting that analysis is obtained by data analysis module
Amount is sent to corresponding motor inverter and fan frequency converter by velocity-frequency conversion and transmission module, realizes to vibration electricity
The adjustment of machine and rotation speed of fan.
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| CN110226767A (en) * | 2019-04-19 | 2019-09-13 | 青岛农业大学 | Ovary handle removal Adaptive matching control system and its method based on peanut automatic well-chosen |
| CN110987267A (en) * | 2019-12-23 | 2020-04-10 | 佳讯飞鸿（北京）智能科技研究院有限公司 | Point switch stress signal detection device and method and electronic equipment |
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| CN115889192A (en) * | 2022-12-09 | 2023-04-04 | 安徽云龙粮机有限公司 | Grain vibration cleaning equipment based on intelligent control |
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