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Intellectual control system

Intellectual control system
IPC classes for russian patent Intellectual control system (RU 2251721):
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FIELD: automatic control technologies.

SUBSTANCE: device has control subject, two execution blocks, output coordinate sensor, sensor for value of coordinate adjusting action, delay block, control block, low frequency filter, adder, three comparison blocks, no-delay object model, two extrapolation blocks, output coordinate set-point device, object state parameters sensors block, object state set-point devices parameters block, robust filter, object state estimation block, threshold elements block, controlling parametric actions generator.

EFFECT: higher precision and overall efficiency.

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The invention relates to automatic control and regulation, in particular to systems with coordinate and parametric feedbacks, and can be used to build control systems technical objects, such as shaft furnaces, sintering machines, which are characterized by significant delays and disorders of the technological process under the influence of uncontrolled disturbances with essentially non-stationary statistical properties.

Known expert control system for heating a blast furnace that uses production rules to regulate the output coordinates of the heating furnace [1].

However, this control system does not provide high accuracy and range of regulation, as it does not take into account the current parametric condition (normal process and its disorders).

Closest to the invention is a control system related to the control systems coordinate and parametric feedbacks [2]that contains the object of regulation, the first and second actuators, the sensor coordinates, the first and second delay blocks, a first regulator for regulating the object model without lag, the second controller to stabilize the parameters of the object of regulation, the first and W is Roy filters low frequency, the first, second, third, fourth and fifth blocks of the comparison, the model of the object without delay, the first and second adders, first and second Adjuster, extrapolator, the scaling unit and the DC signal. Produced by the control signal on regulatory impact UM(t-τ) contains the effects and parametric coordinate uncontrolled disturbances and changes of jobs on the output coordinate of the object, and their selection is made by subtracting their reference values of the regulatory impact. When this reference value parametric and coordinate perturbations are determined at system startup.

The disadvantages of the known systems of regulation are low accuracy and insufficient adjustment range, which is due to the fact that:

a) not taken into account explicitly the status of the object;

b) it is impossible to assess the current state of the object of the regulation;

C) not possible practical implementation of the regulatory system, if the number of monitored parameters the state of the object exceeds unity.

The purpose of the invention is the improved accuracy and a wider range of adjustment due to early detection and prevention of disorders of the object.

Intelligent control system includes a first unit, consequently the enabled second sensor, the delay block, the second block comparison, the model of the object without delay, adder, the first block of comparison, filter low frequency regulating unit, the first unit extrapolation, the first actuating unit, the object of regulation and the first sensor, the output of the first unit is connected to a second input of the first unit of comparison, the output of the regulating unit to the second input of the second block of comparison, the third block setting device, connected in series block third sensors, robust filter, the third block of the comparison, the evaluation unit of the state of the object of regulation, the second block extrapolation, the block of threshold elements, shaper parametric control actions and the second actuating unit.

The drawing shows a block diagram of an intelligent system control.

The control system contains an object 1 of the regulation, the first 2 and second execution units 14, the first sensor 5 output coordinates, the second sensor 3 values of the coordinate regulatory impact, the delay unit 4, the control unit 10, the LPF 11, the adder 9, the first 12 and second 7 blocks comparison, model 8 object without delay, the first block 6 extrapolation, the first generator 13 output coordinates, unit 15 of the third sensor status parameters of the object, block 17 second setting device state parameters of the object, the robust filter 6, the third block 18 comparison unit 19 estimates the state of the object, the second block 20 extrapolation, block 21 threshold element, the imaging unit 22 of governors of parametric effects. In addition, marked the first Uto(coordinate) and the second Up(parametric) regulatory impact Y-output adjustable coordinate, S-parameters of the object's state. Control unit 10 operates in accordance with, for example, proportional-integral control law. Blocks 6 and 20 extrapolation can be represented real forcing links. Model 8 is represented in the form of the inertial element. Sensors Y-coordinates of the object can be, for example, the temperature of the iron in the production of blast furnace or the performance of any shaft furnace; sensors S-parameters of the state of the object can be, for example, the differential pressure across the height of the furnace, the temperature inside the furnace, the rate of convergence of the charge and other measured parameters of the object. Coordinate control actions Utocan be, for example, the consumption of coke in the feed, the steam consumption for humidification of the air, and parametric control actions Up- level height of the mound the mixture in the furnace, the boot order of the components of the charge in the furnace, the flow rate and pressure of the blast in the oven.

Intelligent control system operates as follows.

With the drove on the measured first sensor 5 output y(t) of the object 1 regulation in the adder 9 algebraically summed with the signal model 8 regulatory lag and the result is a signal y m(t) of the output coordinate model of the control loop. The signal ym(t) is subtracted in the first block 12 comparison of the signal of the first knob 13 on the specified value of the output coordinates of the object 1 regulation. In the filter 11, the low-frequency suppressed high-frequency interference of the output signal of the first block 12 comparisons. From the output of the filter 11, the low-frequency signal passes to control unit 10 with proportional-integral control law, which is produced exemplary regulatory impact U

m
k
(t-τ) at time (t-τ). To generate coordinate regulatory impact Uk(t) at current time signal U
m
k
(t-τ) extrapolated in the first block of extrapolation in time τ and served on the first Executive block 2 for sale. The signal of the second sensor 3 on the measured value of the implemented regulatory impact Uk(t) is delayed in block 4 delay time τ and subtracted in the second block 7 comparison of the signal about U
m
k
(t-τ). The signal obtained difference is converted in model 8 of the object signal to increment the output coordinates, and thus, a vicious loop model regulation.

In turn, the values of the state parameters of the object 1 regulation, for example the pressure in the furnace, the speed and nature of the descent of the charge, the temperature inside the furnace, measured in unit 15 of the third sensor status parameters and then smoothed robust filter 16, where it suppresses high-frequency and gross interference. Smoothed in the filter 16, the signals are subtracted in the third block 18 comparison of the values of the parameters the state of the object 1 regulation outputs of block 17 of the second setting device status options. The values of the state parameters of the object 1 regulation specified in block 17 knobs status based on the requirements of technological regulations on the management of the process and determine the normal functioning of the object of regulation. For shaft furnaces is a smooth running and normal heating furnace for sintering machines - optimal speed sintering.

The signals obtained difference of condition parameters received by the input unit 19 estimates the state of the object 1 of the regulation, which provides a diagnosis of the state of the object to identify disorders of the work object is od the influence of perturbations. For shaft furnaces such disorders can be, for example, peripheral, tight, channel speed, heating or cooling of the furnace. Finding an appropriate disorders stroke object is performed using algorithms, fuzzy logic, determining the probability of its appearance and further development.

In the intelligent regulation of the likelihood of developing the disorder of the object 1 is given by the following formulas:

1. When communication logic And probability background

Pprerequisites=P[X AND Y.]=min{P[X,.], P[Y.]}

2. When the link /

Pprerequisites=P[X OR Y.]=max{P[X], P[Y.]}

3. When combined logical connection

where

R[A,X] is the probability of output And with the appearance of the background X,

P[A,Y] is the same when the preconditions Y.

These probabilities are export requirements of technological regulations.

P[A,X,Y] is the probability of the conclusion And during the simultaneous action of the two prerequisites of X and Y. the Probability P obtained from three or more independent evidence, you are consistently using the above formula.

Under assumptions X, Y, etc. are defined as deviations of the state of the object from the specified values, arriving at the same time on the block 19 assessment of the state of the object 1. The output unit 19 assessment objective is and what the likelihood of the development of the relevant disorder then extrapolated in the second block 20 extrapolation in time ω corresponding to the minimum delay through the channel parametric control of many Up. The extrapolated value of the probability of development of the relevant disorder is fed to the input unit 21 of threshold elements, the output of which appears a logical signal “1”if the extrapolated value of the probability of the corresponding disorder exceeds the specified value. The signal on the identified disorder of the object enters the imaging unit 22 of governors of parametric effects, which can be, for example, change the boot order of the charge in the furnace, the height level of the mound, batch, flow and pressure of blast furnace gas pressure at the top of the furnace. Rules for determining the type and magnitude of parametric control action when a specific disorder of the furnace are placed in the imaging unit 22 of the control actions from the process instructions in regard to measures on the elimination of proposed disorders. Formulated in digital form shaper 22 governors parametric effects, for example, “to Increase the height of the mound mixture in 0.5 m”, “Change the system boot to the loading side of the periphery of the furnace, to Reduce the consumption of blast 100 m3/min fed to the input of the second actuating unit 14 that changes required in the MD direction parametric control actions, aimed at eliminating emerging disorders of functioning of object 1 regulation.

The introduction of new intellectual blocks and connections that ensure the prevention of disorder functioning of the object, allows you to extend the range and improve the accuracy of the regulation.

Sources of information

1. Applied fuzzy system. Edited Tarano, Kasai, Magano. M.: Mir, 1993, p.76-88.

2. USSR author's certificate No. 1298711, CL 05 In G 13/00, 1985.

Intelligent control system, containing the first unit of output coordinates, cascaded second sensor coordinate values of the regulatory impact, the delay block, the second block comparison, the model of the object without delay, adder, the first block of comparison, filter low frequency regulating unit, the first unit extrapolation, the first Executive unit designed to generate the coordinate regulatory impact on the current time, the object of regulation and the first sensor output of the coordinates of the object of regulation, the output of the first unit of output coordinates connected with the second input of the first unit of comparison, the output of the regulating unit to the second input of the second block of comparison, the output signal the first sensor is summed in the adder with the signal model of the object without Sebastiani is, the second sensor is designed to measure regulatory impact, implemented the first Executive unit, characterized in that it introduced the second block setting device parameters, object state, connected in series block third sensor status parameters of the object, for measuring parameter values of the object's state regulation, robust filter, the third block of the comparison, the evaluation unit of the state of the object of regulation that is designed to diagnose the state of an object to identify disorders of the object under the influence of perturbations, the second block extrapolation, the block of threshold elements, shaper parametric control actions, the second actuating unit, for changing the parametric control actions aimed at eliminating emerging disorders of the functioning of the object of regulation, the output unit of the second setting device parameters object state regulation is connected with the third Comparer.

 

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