Loss-in-weight scale control instrument and loss-in-weight scale control method

Abstract

The present invention provides a loss-in-weight scale control instrument and a loss-in-weight scale control method thereof, wherein a weighing flow measurement unit and a weighing weight and feeding mass relationship judgment unit in the loss-in-weight scale control instrument are respectively connected to the input end of a feeder characteristic learning unit, and a feeding flow / control output mapping unit, a control output / feeding flow mapping unit and an input end of the feeder characteristic learning unit are sequentially connected; an output end of the feeder characteristic learning unit is respectively connected to a measured control unit, a feeding flow / control output mapping unit and a control output / feeding flow mapping unit; a feeder characteristic modification amount output by the feeder characteristic learning unit simultaneously modifies the feeding flow / control output mapping unit, the control output / feeding flow mapping unit and the measured control unit. The present invention eliminates the jitter of the learning control closed loop by simultaneously correcting different links of the learning control closed loop, thereby improving both the adaptability and adaptability range of the application and the control performance of the application.

Description

Technical Field

[0001] The invention relates to the field of loss-in-weight scales, and in particular to a loss-in-weight scale control instrument and a loss-in-weight scale control method. Background Art

[0002] In the prior art, loss-in-weight scale control usually negatively conditions the speed or opening of the feeding mechanism according to the difference between the user's feeding flow target and the measured feeding flow, thereby achieving the purpose of feeding according to the feeding flow target.

[0003] In some loss-in-weight scale applications, it is necessary to adjust the feeding speed of the feeding equipment to achieve the stability of the measured physical quantity of a non-feeding flow. For example, in the process of chemical reaction, the temperature, pressure, pH value and other measured physical quantities of the reactants in the reactor are controlled by controlling the feeding speed of the material to achieve the stability of the temperature, thereby achieving a safe, stable and efficient production process.

[0004] In these loss-in-weight scale application fields, the entire loss-in-weight scale system is usually used as a slave device. The central control device generates a feeding speed control target based on the required stability range of the measured physical quantity and the measured physical quantity, and then sends the feeding flow control target to the loss-in-weight scale. The loss-in-weight scale adjusts the feeding speed of the feeding equipment by changing the flow control target to achieve the control purpose of the measured physical quantity.

[0005] Due to the influence of existing loss-in-weight scale data processing and control methods, the existing application control solution does not closely integrate the measured stability control with the loss-in-weight scale measurement control, which results in the existing application control being affected by the loss-in-weight scale measurement control application. For example, the loss-in-weight scale measurement and control introduces delays into the existing application control, thereby affecting the performance of the application control, or the debugging of the loss-in-weight scale control is meaningless to the application control.

[0006] In view of this, those skilled in the art have designed a loss-in-weight scale control instrument and a loss-in-weight scale control method thereof in order to overcome the above technical problems. Summary of the invention

[0007] The technical problem to be solved by the present invention is to overcome the defect of the prior art that the stability control of the measured quantity of the loss-in-weight scale and the measurement control of the loss-in-weight scale are not tightly combined, and to provide a loss-in-weight scale control instrument and a loss-in-weight scale control method.

[0008] The present invention solves the above technical problems through the following technical solutions:

[0009] A loss-in-weight scale control instrument, characterized in that the loss-in-weight scale control instrument comprises a measured control unit, a feeding flow / control output mapping unit, a weighing flow measurement unit, a weighing weight and feeding quality relationship judgment unit, a feeder characteristic learning unit and a control output / feeding flow mapping unit;

[0010] The measured quantity control unit and the feeding flow rate / control output mapping unit are connected in sequence to form a measured quantity control part;

[0011] The control output / feeding flow mapping unit, the weighing flow measurement unit, the weighing weight and feeding quality relationship judgment unit and the feeder characteristic learning unit are connected to form a feeder feeding characteristic learning part;

[0012] The weighing flow measurement unit and the weighing weight and feeding quality relationship judgment unit are respectively connected to the input end of the feeder characteristic learning unit, and the feeding flow / control output mapping unit, the control output / feeding flow mapping unit and the input end of the feeder characteristic learning unit are connected in sequence;

[0013] The output end of the feeder characteristic learning unit is respectively connected to the measured control unit, the feeding flow / control output mapping unit and the control output / feeding flow mapping unit;

[0014] The feeder characteristic modification amount output by the feeder characteristic learning unit simultaneously modifies the feeding flow / control output mapping unit, the control output / feeding flow mapping unit and the measured control unit, thereby eliminating the fluctuation effect of the feeder characteristic modification on the measured quantitative control by utilizing the same modification amount and opposite modification direction.

[0015] According to one embodiment of the present invention, the measured control unit includes a measured input and a quantitative control target input, and the measured control unit implements negative feedback control based on the difference between the measured value and the control target, and superimposes the feeder characteristic modification amount into the control output accumulation register to output the feeding flow control amount.

[0016] According to an embodiment of the present invention, the weighing flow measurement unit inputs a weighing weight and obtains a weighing flow by difference.

[0017] According to one embodiment of the present invention, the weighing weight and feeding quality relationship judgment unit identifies weighing interference and quality abnormality status according to the weighing quality, and outputs a judgment signal.

[0018] According to one embodiment of the present invention, the feeding flow / control output mapping unit and the control output / feeding flow mapping unit are both based on the feeder control characteristics, and the feeding flow / control output mapping unit and the control output / feeding flow mapping unit are both mapping conversions from the feeder control output to the feeder flow.

[0019] According to one embodiment of the present invention, the feeder characteristic learning unit inputs the feeder flow, the weighing flow and the judgment signal. When the judgment signal indicates that the weighing data reflects the feeding quality, the weighing flow and the feeder flow are subtracted to obtain a learning increment. The feeding flow is corrected by the learning increment to obtain the feeder characteristic data.

[0020] The present invention also provides a loss-in-weight scale control method, characterized in that the loss-in-weight scale control method adopts the loss-in-weight scale control instrument according to any one of claims 1 to 6, and the loss-in-weight scale control method comprises the following steps:

[0021] S1, inputting the measured and controlled targets into the measured control unit, and at the same time inputting the feeder characteristic modification amount output by the feeder characteristic learning unit into the measured control unit and superimposing it on the control output register, the measured control unit outputs the flow control amount, and the flow control amount is input into the feeding flow / control output mapping unit;

[0022] S2, inputting the weighing weight into the weighing flow measurement unit and the weighing weight and feeding quality relationship judgment unit respectively, the weighing flow measurement unit outputs the weighing flow, and the weighing weight and feeding quality relationship judgment unit outputs a judgment signal;

[0023] S3, the feeding flow / control output mapping unit outputs the feeder control output, the feeder control output is input into the control output / feeding flow mapping unit, and the control output / feeding flow mapping unit outputs the feeder flow;

[0024] S4. Input the feeder flow, the weighing flow and the judgment signal into the feeder characteristic learning unit, and the feeder characteristic learning unit outputs a learning increment, which is the feeder characteristic modification amount. The learning increment is then input into the measured control unit, the feeding flow / control output mapping unit and the control output / feeding flow mapping unit.

[0025] According to an embodiment of the present invention, the step S1 specifically includes:

[0026] S 11 , subtracting the measured quantity from the control target to obtain difference data;

[0027] S 12 , using fuzzy sets to process the difference data to obtain a control correction increment corresponding to the difference data;

[0028] S 13 , superimposing the control correction increment and the feeder characteristic modification amount on the feed flow control amount;

[0029] S 14 , output the flow control amount.

[0030] According to an embodiment of the present invention, step S2 specifically includes:

[0031] S 21 , inputting the weighing weight derived from the weighing input into the weighing flow measurement unit and the weighing weight and feeding quality relationship judgment unit respectively;

[0032] S 22 , taking a derivative of the weighing weight in the weighing flow measurement unit to obtain the weighing flow data;

[0033] S 23 , in the weighing weight and feeding quality relationship judgment unit, the judgment signal is obtained according to the stability of the weighing weight.

[0034] According to an embodiment of the present invention, step S3 specifically includes:

[0035] S 31 , inputting the flow control amount into the feeding flow / control output mapping unit;

[0036] S 32 , outputting the feeder control output by the feed flow / control output mapping unit;

[0037] S 33 , input the feeder control output and a one-dimensional characterization quantity into the control output / feeding flow mapping unit, and output the feeder flow.

[0038] According to one embodiment of the present invention, the step S4 specifically includes: subtracting the weighing flow rate from the feeder flow rate to obtain a learning increment, and when the judgment signal indicates that the weighing data is stable, using the learning increment to correct the feeding flow rate to obtain feeder characteristic data.

[0039] According to one embodiment of the present invention, step S4 further includes:

[0040] The learning increment is input into the measured control unit, and the measured control unit obtains the feeding flow control amount by subtracting the difference between the new feeding flow control amount and the learning increment.

[0041] The positive and progressive effects of the present invention are:

[0042] The loss-in-weight scale control instrument and the loss-in-weight scale control method of the present invention enhance the relationship between application control and the original loss-in-weight scale measurement and control, thereby improving the adaptability, adaptability range and application performance of the loss-in-weight scale product. The present invention combines application control with loss-in-weight scale measurement and control, which not only retains the flow control function of the loss-in-weight scale to the maximum extent (directly inputs the flow control target to the feeding flow / control output mapping unit), but also eliminates the negative impact of the flow control of the loss-in-weight scale (control coordination unit), which not only improves the adaptability and adaptability of the application, but also improves the control performance of the application, laying a foundation for further improving the application performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The above and other features, properties and advantages of the present invention will become more apparent through the following description in conjunction with the accompanying drawings and embodiments, in which the same reference numerals always represent the same features, wherein:

[0044] Figure 1 It is the principle diagram of the control instrument of the loss-in-weight scale of the present invention.

[0045] [Reference Signs]

[0046] DETAILED DESCRIPTION

[0047] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0048] Embodiments of the present invention will now be described in detail with reference to the accompanying drawings. Reference will now be made in detail to preferred embodiments of the present invention, examples of which are shown in the accompanying drawings. Wherever possible, the same reference numerals will be used throughout the drawings to represent the same or similar parts.

[0049] Furthermore, although the terms used in the present invention are selected from well-known and commonly used terms, some terms mentioned in the present invention specification may be selected by the applicant at his or her discretion, and their detailed meanings are explained in the relevant parts of the description of this document.

[0050] Furthermore, it is required that the present invention be understood not only by the actual terms used but also by the meanings connoted by each term.

[0051] Figure 1 It is the principle diagram of the control instrument of the loss-in-weight scale of the present invention.

[0052] like Figure 1As shown, the present invention discloses a loss-in-weight scale control instrument, which includes a measured control unit 10, a feeding flow / control output mapping unit 20, a weighing flow measurement unit 30, a weighing weight and feeding quality relationship judgment unit 40, a feeder characteristic learning unit 50 and a control output / feeding flow mapping unit 60.

[0053] Among them, the measured control unit 10 and the feeding flow / control output mapping unit 20 are connected in sequence to form a measured quantitative control part. The control output / feeding flow mapping unit 60, the weighing flow measurement unit 30, the weighing weight and feeding quality relationship judgment unit 60 and the feeder characteristic learning unit 50 are connected to form a feeder feeding characteristic learning part.

[0054] The weighing flow measurement unit 30 and the weighing weight and feeding quality relationship judgment unit 40 are respectively connected to the input end of the feeder characteristic learning unit 50, and the feeding flow / control output mapping unit 20, the control output / feeding flow mapping unit 60 and the input end of the feeder characteristic learning unit 50 are sequentially connected. The output end of the feeder characteristic learning unit 50 is respectively connected to the measured control unit 10, the feeding flow / control output mapping unit 20 and the control output / feeding flow mapping unit 60.

[0055] The feeder characteristic modification amount output by the feeder characteristic learning unit 50 simultaneously modifies the feeding flow / control output mapping unit 20, the control output / feeding flow mapping unit 60 and the measured control unit 10, thereby eliminating the fluctuation effect of the feeder characteristic modification on the measured quantitative control by using the same modification amount and the opposite modification direction.

[0056] Preferably, the measured control unit 10 includes a measured value Fm input and a control target Ft input. The measured control unit 10 implements negative feedback control based on the difference between the measured value Fm and the control target Ft, and superimposes the feeder characteristic modification amount into the control output accumulation register to output the feeding flow control amount Cf.

[0057] Specifically, there is usually a calibration process after the measured value Fm is input to ensure that the physical meaning of the measured value Fm is clear. Although the control target Ft is a range requirement in demand, for control, it is to reduce this range to meet application requirements. Therefore, the control target Ft is the center value / mean value of the measured range as above.

[0058] The measured quantity Fm and the control target Ft are input into the measured quantity control unit 10, and the measured quantity control unit 10 implements negative feedback control and outputs the feeding flow control quantity Cf.

[0059] The weighing flow measurement unit 30 inputs the weighing weight W and obtains the weighing flow Fw by difference. The weighing weight and feeding quality relationship judgment unit 40 identifies the weighing interference and quality abnormality according to the weighing weight W and outputs the judgment signal W / M, which is the ratio between the weighing weight W and the feeding quality M.

[0060] Among them, there is an indirect relationship between the weighing weight W and the feeding mass M. It is necessary to identify the weighing interference (for example, the weighing container is disturbed by vibration) and the quality abnormality (for example, material is added into the weighing container) status according to the weighing mass W, so as to ensure the subsequent feeding flow measurement is accurate and reliable. This part outputs the judgment signal W / M.

[0061] Furthermore, the feed flow / control output mapping unit 20 and the control output / feed flow mapping unit 60 are both based on the feeder control characteristics, and the feed flow / control output mapping unit 20 and the control output / feed flow mapping unit 60 are both mapping conversions from the feeder control output to the feeder flow. The control output / feed flow mapping unit 60 implements the mapping conversion from the feeder control output Co to the feeder flow Ff, and the mapping relationship comes from the feeder characteristics.

[0062] The feeder flow / control output mapping section 20 implements the mapping conversion between the flow control target Fc and the feeder control output Co, and the mapping relationship comes from the feeder characteristics.

[0063] Preferably, the feeder characteristic learning unit 50 inputs the feeder flow Ff, the weighing flow Fw and the judgment signal W / M. When the judgment signal W / M indicates that the weighing data reflects the feeding quality, the weighing flow Fw and the feeder flow Ff are subtracted to obtain the learning increment ΔF. The feeding flow is corrected by the learning increment ΔF (for example, using a PID filter) to obtain the feeder characteristic data (feeding flow / control output mapping + control output / feeding flow mapping).

[0064] The measured control unit 10 receives the learning increment ΔF of the feeder characteristic learning unit 50, adjusts the feeding flow control quantity Cf of the existing measured control unit 10, thereby eliminating the influence of the feeder characteristic learning process on the measured control unit 10 (for example, the additional delay link), and obtains the adjusted flow control quantity Fc.

[0065] The present invention also provides a loss-in-weight scale control method, which uses the loss-in-weight scale control instrument as described above, and the loss-in-weight scale control method comprises the following steps:

[0066] Step S1, input the measured value Fm and the control target Ft into the measured control unit 10, and at the same time input the feeder characteristic modification amount output by the feeder characteristic learning unit 50 into the measured control unit 10 and superimposed with the control output register, the measured control unit 10 outputs the flow control amount Fc, and the flow control amount Fc is input into the feeding flow / control output mapping unit 20.

[0067] Preferably, the step S1 specifically includes:

[0068] Step S 11 , subtract the measured Fm from the control target Ft to obtain the difference data;

[0069] Step S 12 , using fuzzy sets to process the difference data (for example, using a known fuzzy control method) to obtain a control correction increment corresponding to the difference data;

[0070] Step S 13 , superimposing the control correction increment and the feeder characteristic modification amount on the feeding flow control amount Cf;

[0071] Step S 14 , output flow control quantity Fc.

[0072] For example, the measured value Fm is preferably inputted using analog value AI1, and the control target Ft is preferably inputted using analog value AI2. Both analog value AI1 and analog value AI2 are calibrated so that the physical meaning of the measured value Fm is clear.

[0073] Step S2, input the weighing weight W into the weighing flow measurement unit 30 and the weighing weight and feeding quality relationship judgment unit 40 respectively, the weighing flow measurement unit 30 outputs the weighing flow Fw, and the weighing weight and feeding quality relationship judgment unit 40 outputs the judgment signal W / M.

[0074] Preferably, the step S2 specifically includes:

[0075] Step S 21 , inputting the weighing weight W derived from the weighing input WI into the weighing flow measurement unit 30 and the weighing weight and feeding quality relationship judgment unit 40 respectively;

[0076] Step S 22 , taking the derivative of the weighing weight W in the weighing flow measurement unit 30 to obtain the weighing flow Fw data;

[0077] Step S 23 In the weighing weight and feeding quality relationship judgment unit 40, a judgment signal W / M is obtained according to the stability of the weighing weight W.

[0078] There is a calibration process between the weighing input WI and the weighing weight W. For the convenience of description, the weighing weight and feeding quality relationship judgment unit 40 uses the weighing data fluctuation within the judgment time to judge the relationship between the weighing data and the discharge quality data.

[0079] Step S3, the feeding flow / control output mapping unit 20 outputs the feeder control output Co, and the feeder control output Co is input into the control output / feeding flow mapping unit 60, and the control output / feeding flow mapping unit 60 outputs the feeder flow Ff.

[0080] Preferably, the step S3 specifically includes:

[0081] Step S 31 , inputting the flow control amount Fc into the feeding flow / control output mapping unit 20;

[0082] Step S 32 , the feeder control output Co is output by the feeder flow / control output mapping unit 20, the feeder control output Co is connected to the analog output A01, and calibration conversion is performed;

[0083] More specifically, the feeding flow / control output mapping unit 20 adopts a one-dimensional data structure, that is, a variable (one-dimensional characterization quantity Kfc) is used to represent the feeding flow / control output mapping relationship. The input quantity multiplied by the characterization quantity Kfc is equal to the output quantity. The mapping relationship data comes from the feeder characteristics.

[0084] Step S 33 , input the feeder control output Co and a one-dimensional characterization quantity Kfc into the control output / feeding flow mapping unit 60, and output the feeder flow Ff.

[0085] More specifically, for the convenience of description, preferably, the control output / feeding flow mapping unit 60 adopts a one-dimensional data structure, that is, a variable 1 / Kfc is used to represent the control output / feeding flow mapping relationship, the input amount multiplied by the characterizing amount 1 / Kfc is equal to the output amount, and the mapping relationship data comes from the feeder characteristics.

[0086] Step S4, the feeder flow Ff, the weighing flow Fw and the judgment signal W / M are input into the feeder characteristic learning unit 50, and the feeder characteristic learning unit 50 outputs the learning increment ΔF, the learning increment ΔF is the feeder characteristic modification amount, and then the learning increment ΔF is input into the measured control unit 10, the feeding flow / control output mapping unit 20 and the control output / feeding flow mapping unit 60.

[0087] Preferably, the step S4 specifically includes: subtracting the weighing flow Fw from the feeder flow Ff to obtain a learning increment ΔF; when the judgment signal W / M indicates that the weighing data is stable, the learning increment W / M is used to correct (Kfc=Kfc+K·ΔF, where K is a correction coefficient) the feeding flow to obtain feeder characteristic data, that is, to correct the aforementioned one-dimensional characterization quantity Kfc.

[0088] Furthermore, the step S4 further includes: inputting a learning increment ΔF into the measured control unit 10, and the measured control unit 10 obtains the feeding flow control amount Cf by subtracting the difference between the new feeding flow control amount Cf' and the learning increment ΔF.

[0089] That is, the feeding flow control quantity Cf obtained by the measured control unit 10 = the new feeding flow control quantity Cf' - the learning increment ΔF, and the influence of the measurement delay on the measured control is eliminated through negative adjustment.

[0090] According to the above description, the specific implementation process of each unit in the loss-in-weight scale control instrument of the present invention is summarized as follows:

[0091] Assume that the control instrument of the loss-in-weight scale of the present invention includes a weighing input WI, analog inputs AI1 and AI2, and an analog output AO1.

[0092] 1. For the measured control unit:

[0093] Input: analog input AI1 as measured Fm input, analog input AI2 as control target Ft input, learning increment ΔF, and new feeding flow control amount Cf.

[0094] Among them, the above two analog quantities are calibrated to ensure that the physical meaning of the measured values ​​is clear.

[0095] Implementation process: First, the measured value Fm and the control target Ft are subtracted to obtain difference data, and then the difference data is processed using fuzzy sets (for example, using well-known fuzzy control methods) to obtain the control correction increment corresponding to the difference data, and then the control correction increment is superimposed on the feeding flow control amount Cf.

[0096] The feeding flow control quantity Cf obtained by the measured control unit = the new feeding flow control quantity Cf - the learning increment ΔF, which is adjusted in the negative direction to eliminate the influence of the measurement delay on the measured control.

[0097] Output: Flow control quantity Fc.

[0098] 2. For the feeding flow / control output mapping unit:

[0099] Input: feeding flow control quantity Cf, one-dimensional characterization quantity Kfc.

[0100] Implementation process: For the convenience of description, the feeding flow / control output mapping adopts a one-dimensional data structure, that is, a variable Kfc is used to represent the feeding flow / control output mapping relationship. The input amount multiplied by the characterization quantity Kfc is equal to the output amount. The mapping relationship data comes from the feeder characteristics.

[0101] Output: Feeder control output Co, this control quantity is connected to analog output AO1, and there is a calibration conversion between them.

[0102] 3. For the control output / feeding flow mapping unit:

[0103] Input: feeder control output Co, one-dimensional characterization quantity Kfc.

[0104] Implementation process: For the convenience of description, the control output / feeding flow mapping adopts a one-dimensional data structure, that is, a variable 1 / Kfc is used to represent the control output / feeding flow mapping relationship. The input amount multiplied by the characterization amount 1 / Kfc is equal to the output amount. The mapping relationship data comes from the feeder characteristics.

[0105] Output: Feeder flow Ff.

[0106] 4. Unit for judging the relationship between weighing weight and feeding quality:

[0107] Input: The weighing weight W comes from the weighing input WI, and there is a calibration process between the two.

[0108] Implementation process: For the convenience of description, the weighing data fluctuation within the judgment time is used to be less than the judgment range to judge between the weighing data and the discharged quality data.

[0109] Output: judgment signal W / M.

[0110] 5. For weighing flow measurement unit:

[0111] Input: Weighing weight W from weighing input WI.

[0112] Implementation process: Derivative the weighing data to obtain the weighing flow data.

[0113] Output: weighing flow Fw.

[0114] 6. Learning unit for feeder characteristics:

[0115] Input: feeder flow Ff, weighing flow Fw and judgment signal W / M.

[0116] Implementation process: Subtract the weighing flow rate from the feeder flow rate to obtain the learning increment ΔF. When the judgment signal W / M indicates that the weighing data is stable, the learning increment ΔF is used to correct (Kfc=Kfc+K*ΔF, where K is the correction coefficient) the feeding flow feeder characteristic data, that is, to correct the aforementioned one-dimensional characterization quantity Kfc.

[0117] Output: Characterization quantity Kfc.

[0118] The loss-in-weight scale control instrument and the loss-in-weight scale control method of the present invention have clear and unified meanings of various physical quantities in the process of implementing the method, and closely combine the measured control with the loss-in-weight scale measurement and control, thereby effectively eliminating the influence of the loss-in-weight scale measurement and control part on the measured control, thereby improving the adaptability, adaptability and application performance of the application.

[0119] In summary, the loss-in-weight scale control instrument and the loss-in-weight scale control method of the present invention enhance the relationship between application control and the original loss-in-weight scale measurement and control, thereby improving the adaptability, adaptability range and application performance of the loss-in-weight scale product. The present invention combines application control with loss-in-weight scale measurement and control, which not only retains the flow control function of the loss-in-weight scale to the maximum extent (directly inputs the flow control target to the feeding flow / control output mapping unit), but also eliminates the negative impact of the flow control of the loss-in-weight scale, thereby improving the adaptability and adaptability of the application, and improving the control performance of the application, laying a foundation for further improving the application performance.

[0120] Although the specific embodiments of the present invention are described above, it should be understood by those skilled in the art that these are only examples, and the protection scope of the present invention is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A loss-in-weight scale control instrument, characterized in that: The loss-in-weight scale control instrument includes a measured control unit, a feed flow / control output mapping unit, a weighing flow measurement unit, a weighing weight and feed quality relationship judgment unit, a feeder characteristic learning unit and a control output / feeding flow mapping unit; The measured quantity control unit and the feeding flow rate / control output mapping unit are connected in sequence to form a measured quantity control part; The control output / feeding flow mapping unit, the weighing flow measurement unit, the weighing weight and feeding quality relationship judgment unit and the feeder characteristic learning unit are connected to form a feeder feeding characteristic learning part; The weighing flow measurement unit and the weighing weight and feeding quality relationship judgment unit are respectively connected to the input end of the feeder characteristic learning unit, and the feeding flow / control output mapping unit, the control output / feeding flow mapping unit and the input end of the feeder characteristic learning unit are connected in sequence; The output end of the feeder characteristic learning unit is respectively connected to the measured control unit, the feeding flow / control output mapping unit and the control output / feeding flow mapping unit; The feeder characteristic modification amount output by the feeder characteristic learning unit simultaneously modifies the feeding flow / control output mapping unit, the control output / feeding flow mapping unit and the measured control unit, thereby eliminating the fluctuation effect of the feeder characteristic modification on the measured quantitative control by utilizing the same modification amount and opposite modification direction.

2. The control instrument for a loss-in-weight scale as claimed in claim 1, characterized in that: The measured control unit includes a measured input and a quantitative control target input. The measured control unit implements negative feedback control based on the difference between the measured value and the control target, and superimposes the feeder characteristic modification amount to the control output accumulation register to output the feeding flow control amount.

3. The control instrument for a loss-in-weight scale according to claim 1, characterized in that: The weighing flow measurement unit inputs a weighing weight and obtains a weighing flow by difference.

4. The control instrument for a loss-in-weight scale as claimed in claim 1, characterized in that: The weighing weight and feeding quality relationship judgment unit identifies weighing interference and quality abnormality according to the weighing quality, and outputs a judgment signal.

5. The control instrument for a loss-in-weight scale as claimed in claim 1, characterized in that: The feeding flow / control output mapping unit and the control output / feeding flow mapping unit are both based on the feeder control characteristics, and the feeding flow / control output mapping unit and the control output / feeding flow mapping unit are both mapping conversions from the feeder control output to the feeder flow.

6. The control instrument for a loss-in-weight scale as claimed in claim 1, characterized in that: The feeder characteristic learning unit inputs the feeder flow rate, the weighing flow rate and the judgment signal, wherein the judgment signal is the ratio between the weighing weight and the feeding mass; When the judgment signal indicates that the weighing data reflects the feeding quality, the weighing flow rate and the feeder flow rate are subtracted to obtain a learning increment, and the feeding flow rate is corrected by the learning increment to obtain feeder characteristic data.

7. A method for controlling a loss-in-weight scale, characterized in that: The loss-in-weight scale control method adopts the loss-in-weight scale control instrument according to any one of claims 1 to 6, and the loss-in-weight scale control method comprises the following steps: S1, inputting the measured and controlled targets into the measured control unit, and at the same time inputting the feeder characteristic modification amount output by the feeder characteristic learning unit into the measured control unit and superimposing it on the control output register, the measured control unit outputs the flow control amount, and the flow control amount is input into the feeding flow / control output mapping unit; S2, inputting the weighing weight into the weighing flow measurement unit and the weighing weight and feeding quality relationship judgment unit respectively, the weighing flow measurement unit outputs the weighing flow, and the weighing weight and feeding quality relationship judgment unit outputs a judgment signal; S3, the feeding flow / control output mapping unit outputs the feeder control output, the feeder control output is input into the control output / feeding flow mapping unit, and the control output / feeding flow mapping unit outputs the feeder flow; S4. Input the feeder flow, the weighing flow and the judgment signal into the feeder characteristic learning unit, and the feeder characteristic learning unit outputs a learning increment, which is the feeder characteristic modification amount. The learning increment is then input into the measured control unit, the feeding flow / control output mapping unit and the control output / feeding flow mapping unit.

8. The method for controlling a loss-in-weight scale according to claim 7, characterized in that: The step S1 specifically includes: S 11 , subtracting the measured quantity from the control target to obtain difference data; S 12 , using fuzzy sets to process the difference data to obtain a control correction increment corresponding to the difference data; S 13 , superimposing the control correction increment and the feeder characteristic modification amount on the feed flow control amount; S 14 , output the flow control amount.

9. The method for controlling a loss-in-weight scale according to claim 7, characterized in that: The step S2 specifically includes: S 21 , inputting the weighing weight derived from the weighing input into the weighing flow measurement unit and the weighing weight and feeding quality relationship judgment unit respectively; S 22 , taking a derivative of the weighing weight in the weighing flow measurement unit to obtain the weighing flow data; S 23 , in the weighing weight and feeding quality relationship judgment unit, the judgment signal is obtained according to the stability of the weighing weight.

10. The method for controlling a loss-in-weight scale according to claim 8, wherein: The step S3 specifically includes: S 31 , inputting the flow control amount into the feeding flow / control output mapping unit; S 32 , outputting the feeder control output by the feed flow / control output mapping unit; S 33 , input the feeder control output and a one-dimensional characterization quantity into the control output / feeding flow mapping unit, and output the feeder flow.

11. The method for controlling a loss-in-weight scale according to claim 10, wherein: The step S4 specifically includes: obtaining a learning increment by subtracting the weighing flow rate from the feeder flow rate, and when the judgment signal indicates that the weighing data is stable, correcting the feeding flow rate using the learning increment to obtain feeder characteristic data.

12. The method for controlling a loss-in-weight scale according to claim 11, characterized in that: The step S4 also includes: The learning increment is input into the measured control unit, and the measured control unit obtains the feeding flow control amount by subtracting the difference between the new feeding flow control amount and the learning increment.

Images