KR100833058B1 - Control method of vibration pattern on alloy weighing process using fuzzy control - Google Patents

Abstract

A control method of vibration patterns in a ferroalloy weighing process by using fuzzy control is provided to improve quality of a product and reduce production costs by adding a fuzzy control part into a programmable logic controller such that vibration patterns are automatically generated by the fuzzy control. A control method of vibration patterns in a ferroalloy weighing process by using fuzzy control comprises the steps of: inputting a target injection weight of ferroalloy into a user interface(14); measuring weight of the ferroalloy that has been injected into a weighing car through a load cell(6) of the weighing car; transmitting the measured injection weight data to a programmable logic controller(20) through an indicator(8); comparing the inputted target injection weight with measured injection weight values in the programmable logic controller to control the vibration intensity of a vibration controller(7); and allowing the vibration controller to vibrate a vibrator(4) according to the controlled vibration intensity conditions, wherein a fuzzy control part(22) is added into the programmable logic controller as a control method of vibration intensity patterns.

Description

Control method of vibration pattern on alloy weighing process using Fuzzy control}

1 is a perspective view schematically showing the configuration of a general ferroalloy weighing facility

Figure 2 is a flow chart schematically showing a conventional vibration pattern control method

3 is a graph showing a conventional vibration control pattern

4 is a flowchart schematically illustrating a vibration pattern control method using fuzzy control according to an exemplary embodiment of the present invention.

5 is a flowchart illustrating an operation process of the vibrator according to the vibration pattern control by the purge controller of FIG. 4.

6 is a graph showing the membership function for the fuzzy set of FIG.

7 is a graph illustrating a vibration control pattern by the fuzzy controller of FIG. 4.

<Description of the symbols for the main parts of the drawings>

1: empty 2: pin

3: slope 4: vibrator

5: weinka 6: load cell

7: Vibration Controller 8: Indicator

9 programmable logic controller 14 user interface 22 fuzzy control

delete

20: programmable logic controller of the present invention

The present invention relates to a method of controlling the vibration pattern of the ferroalloy reinforcement process using fuzzy control, and more particularly, to ferroalloy iron from bin to weighing car. By precisely and precisely adjusting the proportion of ferroalloy in the steelmaking process, which not only improves the quality of the produced product, but also prevents waste of ferroalloy and reduces production costs. The vibration pattern control method of the used ferroalloy weighing process is related.

In general, the ferroalloy added during the steelmaking process should be added at the correct ratio according to the purpose of the steel to be produced to not only improve the quality of the produced product but also maintain the production cost properly.

It is possible to precisely adjust the ratio of ferroalloy by precisely adjusting the weight of ferroalloy used in the alloy, and the ferroalloy production line has a very poor working environment due to heavy dust and noise, so that the ferroalloy process, that is, the alloy An automated system has been established for the process of adding and weighing iron.

1 is a perspective view schematically showing the configuration of a general ferroalloy facility, Bin (1) is a reservoir for temporarily storing ferroalloy, a plurality of pins (Pin, 2) to control the fall amount of ferroalloy It consists of a slope 3 and a lower slope, and vibrator (4) attached to the bin (1) by vibrating the ferroalloy stacked on the slope (3) by a little drop, the alloying iron (Weighing Car, 5).

The weighing car (Weighing Car, 5) is an unmanned transportation means designed to finally put into the blast furnace containing various types of ferroalloy, and the ferroalloy is dropped by using a load cell (Load Cell, 6) installed in the weing car (5) Data is collected and passed to a programmable logic controller (PLC).

The information collected by the load cell 6 is transmitted to the operator and the programmable logic controller 9 through an indicator 8, and the weighing car 5 is required among several bins containing ferroalloy. Move to to repeat the operation to contain ferroalloy.

The vibrator 4 is driven by a vibrator controller 7, which is controlled by a programmable logic controller 9, and generally in automated ferroalloy dosing facilities, ferroalloy is automatically fed into the weing car 5. In order to control the vibration intensity of the vibrator 4 connected to the bin 1, the programmable logic controller 9 is based on the weight data information received from the load cell 6 installed in the weighing car 5. The vibration intensity of the vibrator is adjusted until the target weight is reached.

2 is a flow chart schematically showing a conventional vibration pattern control method, in which a method for controlling a vibration pattern of a conventional vibrator inputs a target input weight of ferroalloy into a user interface (HMI) 14; After measuring the weight of the ferroalloy introduced into the wainka 5 through the load cell 6 of the wainka 5; Passing the measured input weight data to the programmable logic controller 9 via the indicator 8; Comparing the input target input weight with the measured input weight in the sequence control unit 9a inside the programmable logic controller 9 to adjust the vibration intensity of the vibration controller 7 in two stages; The vibration controller 7 adjusts the vibration intensity of the vibrator 4 by vibrating the vibrator 4 according to the adjusted vibration intensity condition.

In adjusting the vibration intensity of the vibrator, the conventional method, the vibration intensity of the vibrator (4) was set in two stages as described above, as can be seen in the graph showing the conventional vibration control pattern shown in FIG. If the weight of the ferroalloy introduced into the weincar 5 differs from the target weight, the high vibration strength is maintained. If the weight is close to the target weight, the low vibration strength is maintained. It consisted of the setting which stops the vibration of the vibrator 4 at the time of reaching weight.

However, the method of setting the vibration strength in two stages as described above not only increases the input error of ferroalloy, but also depends entirely on the operator's experience, and thus, it is difficult to optimize the ferroalloy input error and the input time.

On the other hand, in order to solve the above problems, there have been attempts to subdivide the vibration intensity into three or more stages, but this increases the amount of parameters to be set by the operator, which requires a great deal of trial and error for effective control. Accordingly, there was a problem such as waste of a lot of time and manpower and raw materials.

The present invention has been made to solve the above-mentioned problem, and in particular, the present invention adds a fuzzy control unit inside a programmable logic controller to automatically generate a vibration pattern by fuzzy control, thereby accurately adjusting the ratio of ferroalloy in the steelmaking process. The purpose of the present invention is to provide a vibration pattern control method of ferroalloy reinforcing process using fuzzy control that not only improves the quality of the product produced according to the precise and custom fit, but also prevents waste of ferroalloy and reduces production cost. .

A feature of the present invention for achieving the above object is a method of controlling the vibration pattern of the ferroalloy retardation process using a purge control to add a purge control in the programmable logic controller.

The purge control unit according to a feature of the present invention is an input variable amount of ferroalloy representing the difference between the target input weight (R) of the ferroalloy and the input weight (R _tn ) input to the weeing car according to the time (t _n ). An embodiment in which (RR _tn ) and the weight change amount ΔR of ferroalloy according to the input residual amount RR _tn is used, and the vibration intensity V of the vibrator is used as an output variable.

In the above embodiment, the input variable and the output variable may be configured to divide the fuzzy language set for each variable into five levels.

Further, the input level (RR _tn) In the above embodiment, the input level is very small of the fuzzy set of languages for the (RR _tn) (VS) is pre-set to the minimum level value, and small (S) and very large (VB) Is input through a user interface, and the remaining set of fuzzy languages may be configured to automatically calculate through fuzzy operations.

In addition, in the above embodiment, the vibration intensity V may constitute an embodiment in which a control operation is simplified by using a single tone function.

The objects, features and advantages of the present invention will be more readily understood by reference to the accompanying drawings and the following detailed description.

Hereinafter, with reference to the accompanying drawings will be described in detail the configuration and effect of the preferred embodiment of the present invention.

4 is a flowchart schematically illustrating a vibration pattern control method using a purge control according to an embodiment of the present invention. In the vibration pattern control method of the present invention, the input weight data measured by the load cell 6 (see FIG. 1) is an indicator. (8, see FIG. 1) is delivered to the programmable logic controller 20, the programmable logic controller 20 is automatically generated via the fuzzy control part (Fuzzy Control Part, 22) for system management, the vibration pattern, The operator inputs the parameters necessary for the purge control through the user interface 14 of the central processing unit.

The operation result of the fuzzy controller 22 of the programmable logic controller 20 is transmitted to the vibration controller 7 (see FIG. 1) to drive the vibrator 4 (see FIG. 1) which is a driving unit.

FIG. 5 is a flowchart illustrating an operation process of the vibrator according to the vibration pattern control by the purge controller, wherein the purge controller 22 is a target input weight (R) and time (t ₁ , t) of ferroalloy as input variables. _The residual amount of ferroalloy (RR _t1 ) representing the difference between the input weights (R _t1 , R _t2 , R _t3 , ..., R _tn ) input to the Weiker according to ₂ , t ₃ , ... ,, t _n ) , RR _t2 , RR _t3 , ..., RR _tn ) and the weight change amount ( _ΔR ) of ferroalloy according to each of the residual amounts (RR _t1 , RR _t2 , RR _t3 , ..., RR _tn ) , The output variable uses the vibration intensity (V) of the vibrator.

In addition, each of the input residual amount (RR _tn ) of the ferroalloy and the weight change amount (ΔR) of the ferroalloy, respectively, represents a weight in units of Kg, the vibration intensity (V) of the vibrator is the maximum vibration intensity of the vibrator 100 When the percentage is set to 0% and the intensity when the vibrator stops vibrating is 0%, a number between 0 and 100% is shown.

The output of the purge control unit 22 is transmitted to the vibration controller 7, the vibration controller 7 drives the vibrator 4 by outputting a voltage value corresponding to the vibration intensity to the output, and the vibration of the vibrator The weight of the ferroalloy dropped from the bin 1 is measured by the load cell 6 attached to the weighing car 5 and used again as an input value of the purge controller 22.

When the input and output variables are determined as described above, the fuzzy language set for each variable should be determined. The fuzzy language set for the ferroalloy residual amount (RR _tn ), the change in weight (ΔR), and the vibrator vibration intensity (V) Can be subdivided into various numbers, but it is divided into 5 stages of very small (VS, Small Small), small (S, Small), middle (M, Middle), large (B, Big), and very large (VB, Very Big). It is most desirable to divide.

In order to determine the membership function of the input residual amount (RR _tn ), the change in weight (ΔR), and the vibration intensity (V), which are the input variables used in the fuzzy control unit, as shown in Table 1 below. Provide an environment.

Table 1. Worker's Environment for Determination of Membership Function

division Set Value Meaning High Vibration Set the high value of the vibration intensity. Low Vibration Sets the low value of the vibration intensity. High Weight If the remaining amount is higher than the high weight (High Weight), the vibration strength is high vibration (High Vibration). Low Weight If the residual amount is less than or equal to the low weight, the vibration strength becomes low vibration.

In Table 1, High Vibration means very large (VB, VeryBig) among fuzzy language sets for output variables, and Low Vibration means small (S, Small). In addition, high weight means very large (VB, VeryBig) among the fuzzy language sets for the input variable ferroalloy (RR _tn ), and low vibration is small (S, Small). As shown in FIG. 6, the membership function of the remaining fuzzy set for the input / output variable is automatically set by the fuzzy controller, and in detail,

In the first graph of FIG. 6, very large (VeryBig, corresponding to high weight in Table 1) and small (Small, corresponding to low weight in Table 1) are set by the operator and are very small, very small The (Very Small) value is set to 2kg, because the error is up to + 2kg due to the residual vibration even when the vibration is stopped.It is empirically set and is small and very big by the operator. Since is set, each membership function becomes a triangular graph expression as follows.

(VB: VeryBig setting value)

Very Small

Small

Middle

Big

Very Big

In the case of the second graph, the preset value is used in consideration of the weight of ferroalloy without additional work by the operator, and the maximum (Very Big, 10kg) and the minimum (Very Small, 1kg) are set and small (Small). ), Medium, and Big are expressed by triangular graph as above by dividing n between 0 and VeryBig.

The third graph sets the operator in Table 1 to be small (Small, corresponding to low vibration in Table 1) and very large (VeryBig, corresponding to high vibration in Table 1), with Medium and Big being That is the middle value. In the case of VerySmall, it means that the vibration is stopped, and it is naturally a ZERO value, and the vibration intensity function becomes a single tone function.

The single tone function is a function defining that the degree of belonging is 1 in the corresponding vibration intensity without a special function.

In addition, when the input residual amount (RR _tn ) of ferroalloy is less than a certain value, the vibration intensity of the vibrator is set to very small (VS, Very Small), which is an alloy that is further dropped by the residual vibration even if the vibration of the vibrator is stopped. The iron is there to stop the vibration before the final target is reached.

Further, the input level (S, Small) and very small by (VS, Very Small), each set independently, input level (RR _tn) is a small, low weight (Low Weight) smaller in membership function setting of (RR _tn) In the following cases, more precise control is possible, and the reason is Membership functions such as Small, Medium, Big, and VeryBig have overlapping relations as shown in FIG. 6, which means that each function belongs to each other when calculating fuzzy values. Because of this, any function cannot determine the vibration intensity.

However, small and very small (VerySmall) is designed independently of each other, and when the input residual amount is small, the vibration strength is only affected by the small function entirely. In other words, setting the sections of very small (VerySmall) and small (Small) independently means that the sections requiring precise control are determined independently, and the ferroalloy is separated from the bin (1) by vibration in this section. Control is possible with only minimal vibration intensity (set by Small Vibration).

Table 2 shows the fuzzy control rules between the input residual amount RR _tn , the variation amount ΔR of the input variable, and the vibration intensity V, which is the output variable, used in the purge control unit 22.

Table 2. Fuzzy control rules between input and output variables

Weight change amount (ΔR) Very Small (VS) Small (S) Medium (M) Larger (B) Very Large (VB) Input balance (RR _tn ) Very Small (VS) Very Small (VS) Very Small (VS) Very Small (VS) Very Small (VS) Very Small (VS) Small (S) Medium (M) Medium (M) Small (S) Small (S) Small (S) Medium (M) Larger (B) Larger (B) Larger (B) Medium (M) Medium (M) Larger (B) Larger (B) Larger (B) Larger (B) Larger (B) Larger (B) Very Large (VB) Very Large (VB) Very Large (VB) Very Large (VB) Very Large (VB) Very Large (VB)

When the fuzzy value for the vibration intensity is determined by the rule of Table 2, the fuzzy controller performs fuzzy inference according to the given rule, and in the present invention, it is proposed by Mammdani as a method of fuzzy inference. The Max-Min method, a known fuzzy inference method, was used.

After the fuzzy inference is automatically completed by the fuzzy controller as described above, the output of the fuzzy controller must be obtained through defuzzification. In the present invention, a known center of gravity method is used, and the vibration is achieved. The final vibration vibration intensity (V) delivered to the controller (7, see FIG. 1) is determined.

7 is a graph showing a vibration control pattern by the fuzzy control unit performing the operation as described above, the vibration pattern control method of the ferroalloy step process using the fuzzy control used in the present invention is a parameter of the operator according to the type of ferroalloy It is possible to input ferroalloy more precisely while reducing the amount of adjustment work. By controlling the fuzzy membership function, it is possible to adjust the ferroalloy time and the vibration intensity control pattern, thereby increasing the ferroalloy weight accuracy.

In addition, by implementing the belonging function of the vibration strength (V) in a single tone method to simplify the control operation, to increase the operation speed is configured to enable more precise control, the product produced in the ferroalloy production process It is possible to improve the quality and reduce the production cost.

In addition, the vibration pattern control method of the ferroalloy weighing process using the present inventors fuzzy control may be variously modified, and the embodiments to be modified are all included in the scope of the present invention without departing from the scope of the present invention. To be interpreted.

According to the present invention, by automatically generating a vibration pattern by purge control, not only improves the quality of the product produced by accurately and precisely tailoring the proportion of ferroalloy in the steelmaking process, but also waste of ferroalloy It is possible to obtain an advantage such that the production cost can be reduced to reduce the production cost.

Claims (5)

Inputting a target input weight of ferroalloy into a user interface; Measuring the weight of ferroalloy input to the wainka through the load cell of the wainka; Transferring the measured input weight data to an programmable logic controller through an indicator; Adjusting a vibration intensity of the vibration controller by comparing the input target input weight with the measured input weight in a programmable logic controller; In the vibration pattern control method of the ferroalloy weighing process comprising the vibration controller vibrating the vibrator in accordance with the adjusted vibration intensity conditions, Vibration pattern control method of ferroalloy retardation process using fuzzy control, characterized in that the purge control unit 22 is added to the programmable logic controller 20 as a vibration intensity pattern control method. The method of claim 1, wherein the purge control unit 22, The input residual amount (RR _tn ) and the respective residual amounts (RR) of the ferroalloy representing the difference between the target input weight (R) and the input weight (R _tn ) of the ferroalloy as the input variable, according to the target input weight (R) and time (t _n ). _tn ) using the weight change amount (△ R) of the ferroalloy, Vibration pattern control method of ferroalloy weighing process using purge control, characterized in that using the vibration strength (V) of the vibrator as an output variable. The method of claim 2, wherein the input variable and the output variable, Vibration pattern control method of ferroalloy weighing process using fuzzy control characterized by dividing the fuzzy language set for each variable into five stages. The method of claim 2, wherein the residual amount of charge (RR _tn ), Very small (VS) of the fuzzy language set for the input residual amount (RR _tn ) is preset to the minimum residual value, and small (S) and very large (VB) are input through the user interface 14, and the remaining fuzzy language is set. Vibration pattern control method of ferroalloy weighing process using fuzzy control, characterized in that the set is automatically calculated through a fuzzy operation. The vibration intensity V according to claim 2, Vibration pattern control method of ferroalloy weighing process using fuzzy control, characterized in that the control operation is simplified using a singleton function.

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