JPH09122518A - Controller for crusher - Google Patents

Abstract

PROBLEM TO BE SOLVED: To cope with the wear of a crusher of high frequency load change by obtaining a crushing means-pressurizing force correction signal according to the difference in a wear conditions-assumed value of a crusher at the time of calculation this time from design conditions thereby correcting the pressurizing force of a crushing means. SOLUTION: A first arithmetic means 21 calculates the holdup of a material to be crushed based on the inputs of a raw material supply command signal 3, a pressurizing force command signal 16 and a classification property command signal 17 and a supposed value of wear conditions at the present time (assumed value at the time of last calculation 27) to obtain a rotation power force predicted value 25. A second arithmetic means 22 takes in the deviation value 26 of a rotation power measured value 29 and corrects the supposed value of wear conditions (assumed value at the time of last calculation 27) by fuzzy inference to output it to a third arithmetic means 23 as the assumed value 27 of this time. The third arithmetic means 23 obtains a pressurizing force correction signal 34 and a classifying property correction signal 35 by fuzzy inference according to the difference of the assumed value 27 of this time from the set wear conditions.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a control device for a crusher, and more particularly, it realizes a good control responsiveness of a product to be crushed and a particle size distribution, and prevents the crusher from being damaged. The present invention relates to a control device of a crusher suitable for prevention.

[0002]

2. Description of the Related Art FIG. 2 shows a crusher to which the present invention is applied and a control device according to the prior art. The feeder 2 for supplying the raw material 1 to be crushed adjusts the raw material conveying speed according to the raw material supply command signal 3, and supplies the hopper 4 of the crusher with a raw material proportional to the signal 3. The raw material to be ground is rotated by the electric motor 5, drops on the turntable 6 which is a means for holding the ground material, and is mixed with the coarse-grained ground materials 11 and 13 collected by the classifying means described later to hold the ground material. It becomes 7. The crushed object to be crushed 7 is crushed by a rotating roller placed on the outer circumference of the above-mentioned turntable which constitutes the crushing means 8 by centrifugal force, is carried by the carrier air 9 blowing up the outer circumference, and is classified by the classifying means (vane 12). The fine particles among them are transported to the customer as the crusher product 10.

Next, the object to be crushed on the carrier air 9 has a large particle size due to the balance with gravity, and the holding means 6 is used.
The flow of the gravity-classified collected pulverized material 11 recirculated to the pulverized material is further swirled by the vane 12 of the classification means by the centrifugal force, and the pulverized material having a relatively small particle size passes through the vane 12 of the classification means. The flow of the centrifugal classification and collection object 13 to be recirculated causes the particles having a large particle diameter to be recirculated.

In recent years, in order to obtain sensitive characteristics in centrifugal force classification, a rotary classifier in which rotary vanes for giving centrifugal force are driven by an electric motor is sometimes used instead of the vane, but it is basically used. Should be considered as the same function. The control device of the prior art is configured to adjust the pressing force command signal 16 of the crushing means 8 and the classification characteristic command signal 17 of the classifying means 12 according to the supply amount of the material to be crushed. Here, the raw material supply feeder command signal 3 is usually the crusher product 10
If the product flow rate can be measured online, the PI (proportional integral formula) of the deviation between the measured flow rate and the target value can be adjusted.
It can be given by adjustment. However, in many cases
Since it is difficult to measure the flow rate online, the state quantity having a causal relationship with the flow rate achieves the same purpose. For example, if the material to be crushed is coal and the customer is a drum boiler, the steam pressure of the drum has a direct causal relationship with the flow rate of the pulverized coal supplied to the burner, so that the drum pressure is a target value. The feeder command signal 3 may be adjusted by adjusting the deviation PI.

At this time, the pressing force command signal 16 is increased by the function element 18 due to the crushing capacity of the crusher increasing with the pressing force, and the pressing force is increased in accordance with the increase in the supply amount of the material to be crushed. Given in direction. In addition, since the classification characteristic command signal 17 has a function element 19, the particle size distribution of the grinder product 10 generally tends to deteriorate (the coarse particle content increases) due to the function element 19, so that the material to be ground is supplied. It is given in the direction of narrowing the classification setting according to the increase in the amount (increasing the swirling force to increase the collection efficiency of coarse particles). However, depending on the circumstances of the customer, it may be required to further improve the granularity at the time of low load operation, and it is difficult to uniformly discuss the setting method of the function elements 18 and 19 as described above.
It is common in the prior art that points 6 and 17 are functions of the supply amount of the raw material to be ground. Further, in the prior art, the rotational power of the crusher is often displayed on the detector 28 and used for internal abnormality monitoring.

[0006]

The conventional control circuit shown in FIG. 2 does not usually cause a problem when the crushing means 8 is slightly worn. However, since the characteristics of the crusher change when the wear progresses to some extent, it is necessary to change the pressing force command signal 16 and the classification characteristic command signal 17, or to recommend replacement of the crushing means 8 in some cases. However, the above-mentioned related art does not have the function. Therefore, according to the conventional technique, the particle size of the crusher product 10 changes, or the amount of the object 7 to be crushed changes so that the crushed raw material 1
The response time constant of the crusher product 10 with respect to the increase or decrease of the value of ‘1’ and the crushing ability of the crusher product 10 is significantly reduced due to abrasion, resulting in the inoperability (the amount of the crushed object 7 to be stored greatly exceeds the design value). There are even things.

In order to prevent such a situation, conventionally, an administrator monitors the rotation power detector 28 to determine the wear condition of the crushing means 8 depending on whether the power is appropriate compared with the amount of the raw material 1 to be crushed. Judged and took necessary measures. However, even in the case of a crusher that changes its operating load on a daily basis, it is difficult for even a skilled manager to grasp the wear condition by this method.

That is, the operating power essentially depends on the amount of the crushed object 7 held by the crusher, and the held amount must be grasped for the judgment, but the grasp is made when the load is constant (steady state).
This is because it is a high-level issue in other cases. In other words, in the steady state, the held amount becomes an equilibrium value that is uniquely determined by the feed amount of the pulverized raw material 1 and the setting of the classifying mechanism 12 (which affects the amount of the raw material to be pulverized and retained again). amount,
From this setting (as a result even if the amount of possession is not directly conscious), a skilled person can judge the normal rotational power. On the other hand, during the load change, it is exactly the process of change toward the equilibrium state, and it is difficult to grasp the amount of the retained pulverized material 7.

After all, in the prior art, in the operation of changing the supply amount of the raw material 1 with high frequency, it is difficult to grasp the amount of the crushed object 7 to be held even if the supply amount of the raw material 1 is known every moment. The normal value of the rotational power (corresponding to the value when the abrasion of the crushing means 8 is within the allowable range) determined correspondingly is unknown. Therefore, it is generally difficult for a skilled manager to evaluate the validity of the instruction of the rotational power detector 28, and it can be said that it is difficult to deal with the wear.

The object of the present invention is to solve the above problems,
It is an object of the present invention to provide a crusher control device capable of coping with wear of a crushing mechanism in a crusher with a high frequency load change.

[0011]

The invention claimed in this application to achieve the above object is as follows. (1) Grinding object holding means rotating in a crusher, means for supplying a raw material to the holding means, crushing means pressed by the holding means with a required pressing force, and crushed object crushed by the crushing means The coarse particles of the product are recycled to the holding means and the fine particles are sent to the demand side as a crusher product, a means for controlling the raw material supply amount to the holding means, and a raw material supply amount based on the raw material supply amount. Means for controlling the classification characteristics of the classification means,
A control device for a crusher, comprising: a means for controlling a pressing force of a crushing means based on the raw material supply amount, a raw material supply amount control signal of the raw material supply means, a pressing force control signal of the crushing means, and a classification characteristic control of the classifying means. Input the signal and crush in the crusher based on the estimated wear status of the crushing means at the time of the previous calculation,
A first calculation means for calculating the amount of crushed object possessed by using a dynamic characteristic model simulating classification, mixing, and retention, thereby obtaining a rotational power predicted value of the crusher, and a rotation obtained by the first calculation means. The second calculation means for inputting the deviation between the predicted power value and the rotational power measurement value to correct the estimated value of the abrasion state of the crushing means at the previous calculation time point to obtain the estimated value at the current calculation time point, and the current calculation time point Third computing means for obtaining a pressing force correction signal of the crushing means in accordance with the difference between the estimated wear condition value of the crushing means and the design condition, and the pressing force correction signal obtained by the third calculating means for applying the crushing means A control device for a crusher, which is provided with means for correcting pressure.

(2) Means for holding the object to be crushed rotating in the crusher, means for supplying a required amount of raw material to the holding means, crushing means which is pressed by the holding means with a required pressure, and crushing means The coarse particles of the crushed product are recycled to the holding means and the classification means for sending the fine particles to the demand destination, and the raw material supply amount to the holding means is controlled according to the demand amount of the demand destination. In the controller of the pulverizer, the means for controlling the pressing force of the crushing means based on the raw material supply amount, and the means for controlling the classification characteristics of the classification means based on the raw material supply amount, Input the raw material supply amount signal, the crushing unit pressure signal and the classifying unit classification characteristic signal, and use the dynamic characteristics model of the crusher to hold the object to be crushed based on the estimated wear status of the crushing unit at the previous calculation. Calculate the amount, which allows the rotation of the crusher The first calculation means for obtaining the force prediction value and the deviation between the rotation power prediction value and the rotation power measurement value obtained by the first calculation means are input to correct the estimated value of the wear state of the grinding means at the time of the previous calculation. Then, the second calculating means for obtaining the estimated value at the time of the present calculation and the third calculating means for obtaining the classification characteristic correction signal of the classifying means in accordance with the difference between the wear condition estimated value of the crushing means at the present calculation time and the design wear condition And a means for correcting the classification characteristic control amount of the classification means by the classification characteristic correction signal obtained by the third calculation means.

(3) Means for holding a material to be ground which rotates in a grinder, means for supplying a required amount of raw material to be ground to the holding means, grinding means for pressing the holding means with a required pressure, and The coarse particles of the material to be crushed that have passed through the crushing means are recirculated to the holding means, and the classification means for sending the fine particles to the customer as a crusher product, and the outer circumference of the holding means is blown up and crushed by the crushing means. Carrier air supply means for conveying the crushed material to the classifying means and also for conveying the fine particles classified by the classifying means to the demand destination, and means for controlling the raw material supply amount to the holding means based on the demand amount of the demand destination And a means for controlling the pressing force of the pulverizing means based on the raw material supply amount and a means for controlling the classification characteristic of the classifying means based on the raw material supply amount. ,
Input the pressing force control signal and classification characteristic control signal, and calculate the amount of material to be crushed using the dynamic characteristic model based on the assumed value of the abrasion amount of the grinding means at the present time or the estimated value of the abrasion amount at the time of the previous calculation. Then, the rotation power prediction value of the crusher is input to the first calculation means, and the deviation between the rotation power prediction value obtained by the first calculation means and the rotation power measurement value is input, and the crushing means The second calculation means for correcting the estimated value of the wear amount at the time of the previous calculation to obtain the estimated value of the wear amount at the time of this calculation, and the fuzzy inference according to the difference between the estimated value of the wear amount at the time of this calculation and the design wear condition. Third calculating means for obtaining the pressure correction signal of the crushing means and the classification characteristic correction signal of the classifying means, and means for correcting the pressure of the crushing means by the pressure correction signal obtained by the third calculating means, Classification characteristics obtained from the third calculating means Control device for grinding machine by a positive signal, characterized in that a means for correcting the classification properties of the classification means.

In the present invention, when the wear of the crushing mechanism is estimated, the amount of wear of the crushing means at present is unknown.
First, the rotational power of the actual plant is predicted based on the assumed value of wear, and the above-described assumed value is corrected according to the deviation between the predicted value and the actual measured value to obtain an estimated value. Specifically, when the amount of material to be crushed is periodically obtained by the first computing means, the present assumed amount of wear is calculated based on the estimated amount of wear obtained at the time of the previous calculation. To the dynamic characteristic model of. If the interval between the previous calculation time and the current calculation time is small, the assumed value may be the previous value of the wear amount as it is. Otherwise, the increase amount of the wear amount according to the time interval is considered. In any case, since the assumed value corresponds to the initial value of the calculation by the second calculating means, the closer to the true value, the faster the estimation converges.

The first computing means uses the dynamic characteristic model of the crusher to store the crushed object stored at the time of the previous calculation, the assumed value of the crushing means wear amount at this time, and the supply of the crushed raw material. From the amount, calculate the current amount of crushed material possessed, and further
The predicted value of the rotational power corresponding to the possessed amount is calculated. Second
Generally, if the measured value of the rotational power is larger than the predicted value, it is determined that the wear amount is underestimated, and the assumed value is corrected in the increasing direction. To do.

The operation modes of the first and second calculation means are such that, at each calculation time point, the convergence calculation is repeated until the deviation between the predicted value and the measured value of the above-mentioned driving power is within a specified value, and 1 The convergence calculation may be terminated once or a specified number of times. These are determined in consideration of the calculation speed of the computer used and the time interval at each calculation time point.

[0017]

BEST MODE FOR CARRYING OUT THE INVENTION The control device for a crusher according to the present invention uses a dynamic characteristic model of the crusher, and based on an assumed value of the wear amount of the crushing mechanism (usually an estimated value in the previous calculation), the crushed object at the present time. The amount of material possession is obtained, and the first calculation means for calculating the predicted value of the operating power of the crusher, and the deviation of the predicted value and the actual measured operating power, is used to correct the wear amount assumed value of the crushing mechanism. Then, the second arithmetic means is mainly used as the estimated value of the current wear amount. here,
The dynamic characteristic model in the first computing means is, for an unsteady state, a periodic calculation, and based on the operation amount of the crusher at the present time and the state amount of the crusher obtained one calculation cycle before, the crusher at the present time. Is a means for obtaining the state quantity of. Further, in the second computing means, the maximum likelihood estimation method based on the stochastic differential equation of the system is used to correct the wear amount assumption value from the deviation of the driving power,
Fuzzy inference based on empirical knowledge, neural network based on learning of actual machine characteristics, most easily implemented PI
Operation etc. can be applied.

According to the present invention, after the estimated value of the abrasion of the crushing means is obtained by the above-mentioned configuration including the change of the load, the third calculating means calculates the pressing force command signal based on the estimated value of the abrasion amount, and This is achieved by obtaining the correction amount of the classification characteristic command signal and displaying a message recommending replacement of the crushing means if necessary. The contents of the present invention will be described in detail below with reference to the drawings.

FIG. 1 shows an embodiment of the present invention. In the following, the same parts as those of the embodiment of FIG. 2 according to the prior art will be designated by the same part numbers and the description thereof will be omitted. The first calculation means 21 has the same operation amount (raw material supply command signal 3, pressing force command signal 16, classification characteristic command signal 1) as that of the actual crusher at that time.
7) is input, and based on the assumed value of the current wear state (wear amount) (estimated value 27 at the time of the previous calculation), the crushed object 7 holding amount is calculated using the dynamic characteristic model. Obtain the predicted value 25.

As the dynamic characteristic model, a statistical model in which relations of various quantities of interest are arranged by actual measurement data can be used, but various processes in the crusher (crushing, classification, mixing, retention, etc.) are faithfully simulated. The physical model described above has high accuracy in the widest range of conditions, and in this example, the physical model is used. Furthermore, there are various physical models in terms of the method, and for example, the “pulverized coal boiler control device” (Japanese Patent Application No. Sho 6)
The model described in 3-131342; Sho 63/5/31) can also be used, but in this example, the particle size distribution is related to the latest research of the inventor, and the particle size distribution is only four variables (Examples related to the previous patent application). The above method used sample points with a particle size distribution of about 30), and can be simulated with high precision and low computational complexity (Mechanism and Automation Control Society China Branch Academic Lecture Meeting; Hira 3/12)
/ 13 will be adopted by the inventor, and the following section will be provided to explain the details.

The second computing means 22 uses the rotational power measurement value 2
The deviation 26 of 9 is input, and the assumed value of the wear state (estimated value 27 at the time of the previous calculation) is corrected by fuzzy reasoning to obtain the estimated value 27 at the time of the current calculation. Third computing means 2
3 obtains the pressurizing force correction signal 34 and the classification characteristic correction signal 35 by fuzzy inference according to the difference between the wear state estimated value 27 at the time of this calculation and the design wear condition of the crushing means. Generally, it is sufficient to increase the pressing force as the wear progresses and correct the classification setting in the direction of narrowing (decreasing the passing particle size by 50%).

In the first computing means, the dynamic characteristic model is subjected to the procedure described below, and from the pressing force command signal 16 to the crushing rate constant P and from the classification characteristic command signal 17 to the classification characteristic c.
_j (ξ) and Q _ib from the raw material supply command signal 3 may be respectively given to obtain the crushed object 7 holding amount as G _b . Phenomenon in the crusher Particle size distribution can be defined by the mass ratio of particle size ξ or less among particles passing through the cross section in a short time.
It is written as (ξ), and a subscript indicating the place is appropriately added. The relationship with the sampled stationary mass particle size distribution density f (ξ) is expressed by the following equation using the mass flow rate Q.

[0023]

## EQU1 ## g (ξ) ≡E {Q | (ξ, ξ + dξ]} f (ξ) / E {Q} (1) Given the subscripts _ip and _op to the quantities before and after crushing, Have a relationship.

(Equation 2)

Here, when the particle size ξ is taken on the logarithmic axis, the conditional probability density g _{op │ip} coincides with the crushing distribution constant clarified by Austin et al., And is designated as s.

## _EQU3 ## g _op | _ip (ξ | η) = s (ξ−η) (3) For the mass flow rate, the following equation is obtained assuming that there is no accumulation in the crushing mechanism.

[0025]

## _EQU00004 ## E {Q _op } = E {Q _ip } (4) For the j-th classification mechanism, each "particle passage" is an independent event, and if Θ _j is used as an indicator, it is experimentally determined. There is the following relationship with the classification efficiency c _j (ξ) that has been clarified.

[0026]

## EQU00005 ## Pr {.THETA._j= 0 | (ξ, ξ + dξ]} = C_j(Ξ) (5) Pr {Θ_j= 1 | (ξ, ξ + dξ]} = 1-C_j(Ξ) (6) Related to classification inlet powder flow, circulating powder flow, and passing powder flow
Subscripts for each quantity _ij,_rj,_ojIs given, Bayesian constant
The following expression of the particle size distribution density is obtained by theory.

[0027]

G _rj (ξ) = C _j (ξ) g _ij (ξ) / r _j (7) g _oj (ξ) = [1-C _j (ξ)] g _ij (ξ) / (1- r _j ) (8) where

[0028]

(Equation 7) The flow rate around the classification mechanism is calculated as follows.

[0029]

E {Q _rj } = E {Θ _j Q _ij } = r _j E {Q _ij } (10) E {Q _oj } = E {(1-Θ _j ) Q _ij } = (1-r _j ) E {Q _ij } (11) Circulating powder flow from the classification mechanism (j = 0, ..., N),
_Let us consider the mechanism of mixing with the raw material powder flow (subscript _ib ) to form the outflow powder flow (subscript _ob ). Here, the following relationship is assumed between the mixing mechanism powder holding amounts G _b and Q _ob .

[0030]

[ _Equation 9] E {Q _ob } = E {P} E {G _b } (12) P is independent of the particle size, and in order to justify this assumption, a virtual between the mixing mechanism and the subsequent crushing mechanism is assumed. Classification mechanism (j = 0)
And consider the ξ-dependent grinding rate constants clarified by Austin et al. Here, paying attention to (1) and (12), and considering that the particle size does not change due to mixing, a mass balance formula of particles belonging to (ξ, ξ + dξ] can be obtained.

[0031]

E {P} ⁻¹ (d / dt) E {Q _ob } g _ob (ξ) = Σ _{j = 0} ⁿ E {Q _rj } g _rj (ξ) + E {Q _ib } g _ib (ξ ) −E {Q _ob } g _ob (ξ) (13) Mathematical description of model Consider a moment normalized (affine transformation) with λ and ρ when Ξ follows distribution density g (ξ).

[0032]

V _k (λ, ρ) ≡E {[(Ξ−λ) / ρ] ^k } (14) At this time, the cumulant β _k (λ, ρ) is obtained correspondingly. In this model, the distribution density is organized by the following four parameters.

[0033]

## EQU12 ## μ = V ₁ (0,1), σ = [V ₂ (0,1)] ^1/2 (15) Skewness: β ₃ (μ, σ) = V ₃ (μ, σ) (16 ) Excess: β ₄ (μ, σ) = V ₄ (μ, σ) −3 (17) From these, the edge-worth expansion coefficient α _k is uniquely obtained,
The distribution density can be specifically displayed.

[0034]

G (ξ) = Σ _k α _k p (ξ; μ, σ) h _k ([ξ−μ] / σ) (18) where p (ξ; μ, σ) is a Gaussian distribution and h _k is a Hermitian polynomial of degree k. Substituting (3) into (2) is a superposition integral, resulting in the sum of cumulants, and the following is obtained.

[0035]

(14) V _1op (μ _ip , σ _ip ) = V _1s (μ _ip, σ _ip ) (19) V _2op (μ _ip , σ _ip ) = 1 + V _2s (μ _ip, σ _ip ) (20) V _3op (μ _ip , σ _ip ) = V _3ip (μ _ip, σ _ip ) + V _3s (μ _ip, σ _ip ) (21) V _4op (μ _ip , σ _ip ) = V _4ip (μ _ip, σ _ip ) + V _4s (Μ _ip, σ _ip ) + 6V _2s (μ _ip, σ _ip ) (22) Here, the subscript s indicates the pulverization distribution constant s, and the other subscripts indicate the particle size distribution density g. Furthermore, μ _op , σ _op , β ₃ (μ
_op, σ _op ) and β ₄ (μ _op, σ _op ) can be calculated using (15) to (17) and the following equation.

[0036]

V _k (λ, ρ) = (ρ _o / ρ) ^k Σ _{j = 0} ^k _k C _j · V _j (λ _o, ρ _o ) [(λ _o −λ) / ρ _o ] ^kj ( 23) C _j (ξ) can be approximated by using appropriate γ _mj , λ _mj and ρ _mj .

[0037]

## _EQU16 ## C _j (ξ) _{≈Σ m} γ _mj p (ξ; λ _mj , ρ _mj ) (24) g _ij (ξ) is of the form (18), and (7), (10)
More concretely, various quantities of the circulating powder flow are required.

[0038]

E {Q _rj } g _rj (ξ) = E {Q _rj } Σ _m p (ξ; λ _mrj, ρ _mrj ) Σ _k α _rjmk h _k ([ξ-λ _mrj ] / ρ _mrj ) ( 25) There is the following relationship here.

[0039]

Α _rjmk = α _Orjmk γ _mj · exp {-(μ _ij -λ _mj ) ² / [2 (σ _ij ² + ρ _mj ² )]} (26) λ _mrj = (ρ _mj ² μ _ij + σ _ij ² λ _mj ) / (σ _ij ² + ρ _mj ² ) (27) ρ _mrj = ρ _mj σ _ij / (σ _ij ² + ρ _mj ² ) ^1/2 (28) In addition, α _Orjmk is the Hermitian polynomial addition to the following equation. It is obtained by applying the theorem and organizing the coefficients.

[0040]

Σ_kα_ijkh_k((Ρ_mrj/ Σ_ij] (Ξ−λ_mrj] / Ρ_mrj + [Λ_mrj-Μ_ij] / Σ_ij) (29) (25) is a weighted mixture of distribution densities_mNitsu
A_OrjmkTo V_k(Λ_mrj, ρ_mrj) Is uniquely obtained
And V of the same λ and ρ_kSince weighted addition is possible,
Station, (23), (15) to (17)_rj,
σ_rj, Β_Three(μ_rj,σ _rj), Β_Four(μ_rj,σ_rj) Can be calculated
You. Subscript_ojThe same discussion applies to the passing powder flow of the above.
Properly selected λ_b, Ρ_bWhen normalized with v, from (13)
_kobGet the differential equation for.

[0041]

Equation 20] ^{E {P} -1 (d /} dt) E {Q ob} v kob (λ b, ρ b) = Σ j = o n E {Q rj} v krj (λ b, ρ b) + E If {Q _ib } v _kib (λ _b , ρ _b ) -E {Q _ob } v _kob (λ _b , ρ _b ) (30) (23), (15) to (17) is applied, in general,
μ, σ, β ₃ (μ _, σ), β ₄ (μ _, σ) and v _k (λ, ρ)
Since it is possible to perform the mutual conversion of (30), it is possible to solve by solving (30) as a sequential calculation of a discrete time system. At this time, stable numerical calculation becomes possible by adopting the Pade approximation.

[0042]

According to the present invention, the following effects can be obtained. 1) Even in a crusher that frequently changes loads,
The wear amount of the crushing mechanism can be grasped without having to settle the load. 2) The pressing force of the crusher is adjusted according to the amount of wear of the crushing mechanism, and it is possible to prevent a decrease in the particle size distribution at the exit of the crusher and a slow increase in the amount of powder produced even when the high-speed load changes. Further, wear due to unnecessary pressurization can be prevented. 3) The classification setting of the crusher is adjusted according to the amount of wear of the crushing mechanism, and a good particle size distribution of the crusher product can be maintained even when the high speed load changes.

[Brief description of the drawings]

FIG. 1 is a diagram showing an embodiment of the present invention.

FIG. 2 is an explanatory diagram of a conventional technique.

[Explanation of symbols]

1 ... Raw material to be crushed, 2 ... Feeder, 3 ... Raw material supply command signal, 4 ... Hopper, 5 ... Electric motor, 6 ... Turntable, 7
... held crushed object, 8 ... crushing means, 9 ... carrier air, 10 ...
Grinding machine product, 11 ... Gravity classification collected crushed object, 12 ... Vane, 13 ... Centrifugal classification crushed object, 16 ... Pressure command signal, 17 ... Classification characteristic command signal, 18, 19 ... Function element,
21 ... 1st calculating means, 22 ... 2nd calculating means, 23 ...
Third computing means, 24 ... Signal subtraction element, 25 ... Rotational power prediction value, 26 ... Rotational power prediction error, 27 ... Wear state estimated value, 28 ... Rotational power detector, 29 ... Rotational power measurement value, 3
0 ... Pressure command basic signal, 31 ... Classification characteristic command basic signal,
32 ... Signal addition element, 33 ... Signal addition element, 34 ... Pressurization force correction signal, 35 ... Classification characteristic correction signal.

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Katsumi Shimohira 3-36 Takaracho, Kure City, Hiroshima Prefecture Babcock-Hitachi Kure Research Institute

Claims (3)

[Claims] 1. A crushed object holding means that rotates in a crusher, a means for supplying a raw material to the holding means, a crushing means that is pressed by the holding means with a required pressure, and a crushed by the crushing means. Classifying means for recirculating the coarse particles of the material to be crushed to the holding means and sending the fine particles to the demand side as a crusher product, means for controlling the raw material supply amount to the holding means, and the raw material supply amount In the controller of the crusher, which comprises means for controlling the classification characteristics of the classifying means based on the above, and means for controlling the pressing force of the crushing means based on the raw material supply amount, a raw material supply amount control signal of the raw material supply means and pulverization By inputting the pressure control signal of the means and the classification characteristic control signal of the classifying means, a dynamic characteristic model simulating crushing, classification, mixing and retention in the crusher is calculated based on the estimated wear status of the crushing means at the previous calculation. Use the amount of material to be crushed And the deviation between the rotational power prediction value and the rotational power measurement value obtained by the first calculation means is input to calculate the wear of the crushing means. The second calculating means for correcting the estimated value at the time of the previous calculation of the state to obtain the estimated value at the time of the current calculation, and the crushing means according to the difference from the design condition of the estimated value of the wear state of the crushing means at the current calculation time. And a means for correcting the pressure applied to the crushing means by means of the pressure correction signal obtained by the third calculation means. 2. A crushing object holding means that rotates in a crusher, a means that supplies a required amount of raw material to the holding means, a crushing means that is pressed by the holding means with a required pressure, and a crushing means. Classifying means for recirculating the coarse particles of the crushed pulverized material to the holding means and sending the fine particles to the demand destination,
A means for controlling the amount of raw material supplied to the holding means according to the demand amount of the demand destination, a means for controlling the pressing force of the crushing means based on the raw material supply amount, and a classification characteristic of the classification means based on the raw material supply amount. In the control device of the crusher equipped with the control means, the raw material supply amount signal of the raw material supply means, the pressing force signal of the pulverizing means, and the classification characteristic signal of the classifying means are input, and the abrasion status of the pulverizing means at the time of the previous calculation Based on the estimated value, the crusher dynamic characteristic model is used to calculate the amount of crushed object to be retained, and the first calculation means for obtaining the rotation power prediction value of the crusher thereby, and the rotation obtained by the first calculation means. Second, the deviation between the predicted power value and the measured rotational power is input to correct the estimated value of the wear state of the crushing means at the previous calculation time point to obtain the estimated value at the current calculation time point.
And the third calculating means for obtaining the classification characteristic correction signal of the classifying means in accordance with the difference between the wear condition estimated value of the crushing means at the time of the present calculation and the design wear condition, and the third calculating means. A control device for a crusher, characterized in that means for correcting the classification characteristic control amount of the classification means by means of the classification characteristic correction signal is provided. 3. An object-to-be-milled object holding means that rotates in a crusher, a means for supplying a required amount of material to be ground to the holding means, a crushing means that is pressed by the holding means with a required pressure, and the crusher. The coarse particles of the material to be crushed that have passed through the means are recirculated to the holding means, and the classification means for sending the fine particles as a crusher product to the demand destination, and the outer peripheral portion of the holding means is blown up to be crushed by the crushing means. A means for supplying carrier air that conveys the pulverized material to the classifying means and also conveys the fine particles classified by the classifying means to the demand destination, and a means for controlling the raw material supply amount to the holding means based on the demand amount of the demand destination. In the control device of the crusher, which comprises means for controlling the pressing force of the pulverizing means based on the raw material supply amount, and means for controlling the classification characteristic of the classifying means based on the raw material supply amount, a raw material supply amount control signal,
Input the pressing force control signal and classification characteristic control signal, and calculate the amount of material to be crushed using the dynamic characteristic model based on the assumed value of the abrasion amount of the grinding means at the present time or the estimated value of the abrasion amount at the time of the previous calculation. Then, the first calculation means for obtaining the rotational power prediction value of the crusher and the deviation between the rotational power prediction value obtained by the first calculation means and the rotational power measurement value are input to input the wear amount of the crushing means. The second calculation means for correcting the estimated value at the time of the previous calculation to obtain the estimated value of the wear amount at the time of this calculation, and the pressing force of the crushing means according to the difference between the estimated wear amount at the time of the current calculation and the design wear condition. Third calculating means for obtaining the correction signal and the classification characteristic correction signal of the classifying means, means for correcting the pressing force of the crushing means by the pressing force correction signal obtained by the third calculating means, and the third calculating means The classification characteristic of the classification means is determined by the obtained classification characteristic correction signal. Control device of the crusher, characterized in that a positive to means.