RU2530222C1 - Two-channel converter simulating device - Google Patents

Abstract

FIELD: radio engineering, communication.

SUBSTANCE: device uses a multichannel matrix structure with feedback, devices for control and linearisation of transmission characteristics of multichannel converters for the specified research tasks and experiments. The device includes a control unit, a generator of multidimensional sequences, units of interface, commutation, comparison, memory, a counter of number of switching operations of a failure detection subunit.

EFFECT: providing preliminary processing of information in situations of complex action on a simulated object of destabilising factors by using single-type fragments of a smart bench being equipped.

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Description

A device for modeling two-channel converters (UM DCT) in the study of regenerative processes with discrete time refers to automation and computer technology and can be used to solve research and applied scientific and technical problems [1, 2], applicable in principle and oriented to modeling and evaluation factors hampering the perception of information by operators of complex technical systems or leading to their overwork at the necessary time intervals of activity (for example, regional STI dimensional stereoscopic visualization).

In these tools and methods, the Pulfrich effect is also considered - the psychophysical effect of perception that occurs when the visual signal of one of the eyes is artificially or naturally delayed, as a result of which the side-moving object in the field of view is interpreted by the visual cortex as being closer or further depending on the direction and speed of movement from the actual position [3, 4].

The field of application relates generally to the functional tasks of the intellectual stand equipped with the help of this UM DCT using a special language of radical schemes [5].

In the study of UM DC, when studying regenerative processes with discrete time, in principle, the basic method of statistical estimation of the frequency of exposure to destabilizing factors can be used [2, 9] by hardware implementation of a procedure based on the algorithm for detecting anomalies of an artificial immune system - the so-called negative selection procedures [6].

The presence of factors that impede the perception of information by operators of complex technical systems or lead to their overwork at the necessary time intervals of activity is considered in this case as an example of the field of three-dimensional stereoscopic visualization, in particular, among the main reasons there is, for example, a sharp difference in brightness in individual channels [7].

In mathematical cybernetics, devices are known that allow various physical implementations of informal models of intelligent data processing to be implemented in nature [5, 8].

In practice, the most common is the identification problem using probabilistic recognition systems, which allows for implementation in the identification process, including and when modeling recognition, a number of possibilities of the statistical test method, in our case - using the so-called regenerative models [1, 9].

The principles of operation and some properties of a multi-channel feedback matrix structure are known.

This feedback matrix is a device of the Steinbuch matrix type [10], in which feedback is formed between horizontal and vertical rulers through the normalization block. The presence of an iterative process allows you to use the specified matrix with feedback as a generator of multidimensional sequences.

Obtaining a sequence with desired characteristics can be achieved by selecting the composition of the matrix elements and the set of start signals. Such an association will provide not only an arbitrary flexible restructuring of the relationships in the model, but also organize modeling of the recognition procedure of a complex dynamic object (SDO) within the structure without increasing the number and complexity of relationships.

However, when using this tool as a standard for logical recognition systems as part of a multi-channel matrix-structured device with feedback when modeling the SDO identification process in practice, as a rule, the used characteristics of a priori data are not sufficient for the subsequent assessment of the rate of exposure to destabilizing factors [2, 9 , eleven].

The closest in purpose and technical essence is a device for monitoring and linearizing the transfer characteristics of multichannel converters [12], which provides functional diagnostics of controlled multichannel converters; the device comprises a converter fault detection unit, a converter characteristics calculation unit, an inverter and a switch connected to the converters.

Among the main disadvantages of the sought-after tool, which is applicable in principle when creating interference-invariant linear converters, there are significant limitations when pre-processing the situations covered by a complex (arbitrary, i.e., simultaneous or alternating overlay) impact on the simulated object within the framework of an intelligent stand (advanced conditions simulation) with the specification of the time parameters of the process under study by external means that do not allow the simulation of multichannel transform teley with the required quality in the case of phenomena similar to a statistically irreversible transformations [9].

The objective of the invention is the creation of a comprehensive device that allows you to implement proactive preprocessing in situations of complex (arbitrary) impact on the simulated object of destabilizing factors through the use of the same type of fragments equipped with a smart stand, including a memory unit, etc., using a multi-channel feedback matrix structure device, as well as V.B. Titov's device for monitoring and linearizing the transfer characteristics of multichannel converters.

The required technical result is achieved by the fact that when modeling the support procedure for recognizing a complex dynamic object, the control unit and a multidimensional sequence generator, counters of the number of failures of the sub-unit for detecting malfunctions, interface units, switching, comparison and memory, as well as new connections between specified equipment, corresponding functional relationships.

A device for simulating two-channel converters, containing control and memory units, a multidimensional sequence generator, control and linearization blocks of the transfer characteristics of multi-channel converters with an additional control unit, interface, switching, comparison, and memory units, counters of the number of failures of the fault detection subunit, accordingly includes the composition of the components shown in figure 1 (for a functionally independent option) [11].

Functionally independent (single-channel) component of the device for modeling two-channel converters covers:

a multidimensional sequence generator 1, made in the form of a multi-channel feedback matrix structure device, having a control input 1, 2 ⁿ information inputs and 2 "information outputs, the information outputs of which correspond to inputs of the interface unit 2;

a pairing unit 2 having 2 ⁿ inputs and an output, the inputs of which correspond to the information outputs of the multidimensional sequence generator 1, the output of which is connected to input 2 of the switch 3;

a switch 3 having a control input 1, 2 of information input 2 and 3, as well as an output, information input 2 is connected to the output of the interface unit 2, the output of which is connected to the input of the control unit and linearization of the transfer characteristics of the multi-channel converters 4;

control unit and linearization of the transfer characteristics of multichannel converters 4, made in the form of a device Titova VB for monitoring and linearizing the transfer characteristics of multi-channel converters, having an input and 2 outputs, the input is connected to the output of the switch 3, output 1 is connected to the functional input 2 of the counter of the number of switching 5;

a switching number counter 5 having a control input 1, a functional input 2 and an output, a functional input 2 is connected to an output 1 of a control unit and linearization of the transfer characteristics of the multi-channel converters 4.

The functionally independent (single-channel) component of the device for modeling two-channel converters operates in the main modes of the prototype operation (it precedes the utility model in the modeling procedure for recognizing a complex dynamic object).

A device for modeling two-channel converters is schematically shown in figure 2 and in its composition, respectively, contains:

- control unit 1 having four outputs, output 1 of control unit 1 is connected to input 1 of switching unit 4, output 2 of control unit 1 is connected to input of multi-dimensional sequence generator 2, output 3 of control unit 1 is connected to input 1 of counter 8, output 4 of unit control 1 is connected to input 1 of counter 9;

- generator of multidimensional sequences 2, made in the form of a multichannel device matrix structure with feedback, having a control input and 2 ⁿ information outputs, the information outputs of which correspond to the inputs of the pairing unit 3;

- the interface unit 3, having 2 ⁿ inputs and an output, the inputs of which correspond to the information outputs of the multidimensional sequence generator 2, the output of which is connected to the input 4 of the switching unit 4;

- switching unit 4, having control input 1, 3 of information inputs 2, 3, 4 and two outputs, control input 1 of switching unit 4 is connected to output 1 of control unit 1, information inputs 2 and 3 of switching unit 4 correspond to the studied external information channels, the information input 4 of the switching unit 4 is connected to the output of the interface unit 3, the output 1 of the switching unit 4 is connected to the input 1 of the comparison unit 5 and to the input of the control unit and linearizing the transfer characteristics 6, the output 2 of the switching unit 4 is connected to the input 2 of the comparison unit 5 and to in ode to the control and linearization of transfer characteristics 7;

- a comparison unit 5 having two inputs and an output, the input 1 of the comparison unit 5 is connected to the output 1 of the switching unit 4, the input 2 of the comparison unit 5 is connected to the output 2 of the switching unit 4, the output of the comparison unit 5 is connected to input 2 of the memory unit 10;

- control and linearization blocks of the transfer characteristics 6 and 7, having each input and output, the inputs of which are respectively connected to the outputs 1 and 2 of the switching unit 4, the outputs of which are respectively connected to the inputs 2 of the counters of the switching number 8 and 9, output 2 is connected to its corresponding the input of the memory unit 7;

- a switching number counter 8 having a control input 1, an information input 2 and an output, a control input 1 of a switching number counter 8, connected to an output 4 of a control unit 1, an information input 2 connected to an output of a control and linearization unit of transmission characteristics 6, an output of a number counter switching 8 is connected to the input 1 of the memory block 10;

- a switching number counter 9 having a control input 1, an information input 2 and an output, a control input 1 of a switching number counter 9, connected to an output 3 of a control unit 1, an information input 2 connected to an output of a control and linearization unit of transmission characteristics 7, an output of a number counter switching 9 is connected to the input 3 of the memory block 10;

- a memory unit 10 having 3 inputs, which are respectively connected to the outputs of the counter of the number of switches 8, the comparison unit 5, the counter of the number of switches 9.

In the scientific and technical literature, no technical solutions with the indicated essential features were found, which allows us to conclude that it is new. No devices were found in which the goal would be achieved by the entire newly introduced set of essential features, which allows us to conclude about the inventive step of the proposal.

The device is also illustrated by drawings, where Fig. 1 shows a structural diagram of a functionally independent component of a device for modeling two-channel converters. Figure 2 respectively shows the construction of a device for modeling two-channel converters, supplemented by a comparison unit.

A device for modeling two-channel converters works in accordance with the purpose of a functionally independent (single-channel) component in the previously described operating modes of the device for modeling the recognition procedure of a complex dynamic object [11], while ensuring the functioning of the device as a whole without activation (stand-alone) and with the activation of the operational mode, which, in the new version, already also implies the possibility of subsequent disabling the sequence overlay in the study channels, both alternately and simultaneously:

it is assumed that in the initial state the generator of multidimensional sequences 2 is turned off, the counters of the number of switches 8 and 9 at the control inputs 1 are reset, the external signals under investigation are fed to the inputs 2 and 3 of the switching unit 4, to the inputs of the control units and linearization of the transfer characteristics of the multi-channel converters 6 and 7 signals are received through switching unit 4;

comparison unit 5 provides a comparison of the desired parameters of these single-channel components according to the reference procedure [6, 11];

the multidimensional sequence generator 2 is used both for alignment and to ensure the imposition of the desired sequence by means of the control unit 1 and the switching unit 4;

from the output of the comparison unit 5, the memory unit 10 (as well as from the counters 8 and 9) receives data on the results of the preprocessing of the situations covered by a complex (arbitrary, i.e., simultaneous or alternating overlay) impact on the simulated object within the framework of an intelligent stand (advanced modeling conditions ) with the specification of the time parameters of the investigated process by external means;

in case of exceeding the threshold of the counter of the number of switchings 8 (9) after the activation of the online mode, the UM DCT stops and the detection (identification) task at this stage for the corresponding channels is considered completed.

In particular, with respect to the operating and switching modes, the UM DCT provides corresponding activation with respect to the external (in the required number of channels) signal, by means of a multidimensional sequence generator 2, interface units 3 and switching 4 - the functioning of the intelligent stand as a whole according to the standard operation mode of the Titov device V .B. for monitoring and linearizing the transfer characteristics of multichannel converters, see figure 1 [11, 12]; the emergency mode of operation of the device for monitoring and linearizing the transfer characteristics of multichannel converters is key in the functional purpose of the proposed device, the transition to which (operating mode) occurs after exceeding the threshold number of operation of the counter of the number of switchings; the desired output data for the memory block 10 are the readings of the control and linearization blocks of the transfer characteristics of the multi-channel converters 6 and 7 (respectively, the readings of the counters 8 and 9, as well as the comparison unit 5).

Thus, it seems possible to judge the influence of factors that impede the perception of information by operators of complex technical systems or lead to their overfatigue at the necessary time intervals of activity and their level in the environment of the functioning of the supersystem, by the degree of manifestation of the desired property in the process of functioning of the described cascade, which provides lead in principle possible situations of complex (arbitrary) impact on the simulated object as part of an intelligent stand with a guaranteed time We change the process of studying the process by external means (based on their potential speed), with the required quality in the event of occurrence of phenomena that are essentially close to statistically irreversible transformations [9].

So, precedents of functioning are manifested when destabilizing factors arise during the performance of individual and specific functional operations of a number of developed complexes [2, 13]. With the accumulation of information about destabilizing factors that arose during such operations, there is an urgent opportunity to estimate the frequency indicator of destabilizing factors from the statistics accumulated during the course of complex studies.

Under the statistical evaluation of the indicator of the frequency of exposure refers to the numerical value of this indicator, calculated from the results of observations of these operations.

A sequence {X _n , n> 1} of random vectors of dimension K is a regenerative process if there exists an increasing sequence of 1 <β ₁ <β ₂ <... random discrete moments of time called regeneration moments, such that the development of the process, starting from each of these moments , is determined by the same probabilistic laws as at time β ₁ .

This means that between any two consecutive moments of regeneration, for example β _j and β _{j + 1} , part of the process {X _n , β _j ≤n <β _{j + 1} } is an independent “probabilistic copy” of the part of the process between any two other consecutive moments regeneration. However, for the part of the process concluded between moment 1 and moment β ₁ , although independent of the other parts, a difference in distribution is allowed from them. Part of the process {X _n , β _j ≤n <β _{j + 1} } will be called the jth cycle.

On the example of queuing systems for X _n = W _{n, the} regeneration times {β _j , j≥1} are the sequence numbers of those requirements that, at the time of arrival, catch the service device free. Since the cases of regenerating models of interest in practice in the presented formulation have stationary distributions, it is possible to provide an estimate of the desired characteristics.

Let f be a measurable function of K arguments taking real values, and suppose that the purpose of the simulation is to evaluate the value r≡E {f (X)} (in reality, these so-called “good” functions include all that represent practical interest).

By an appropriate choice of the function f, a wide range of stationary characteristics of practical interest can be estimated.

If f (x) = x for all x, then r≡E {f (X)} = E {X}.

Thus, estimating r is equivalent to estimating E (X).

If f (x) = x2, then r = E {X2};

r is equal to the average length of a random vector X in a space of dimension K.

Consider the consequences of regeneration, which are used to obtain the confidence interval for g.

Let be

, $$Y_j={\displaystyle \sum _{i={\beta }_j}^{{\beta }_{j+\mathrm{one}}^{-\mathrm{one}}}f(X_i)}$$

,

i.e. Y _j is the sum of the values of f (X _i ) on the j-th cycle.

A sequence consists of independent and identically distributed random vectors.

If

E {| f (X) |} <∞,

then

. $$r=E\{f(X)\}=\frac{E\left\{Y_{\mathrm{one}}\right\}}{E\left\{{\alpha }_{\mathrm{one}}\right\}}$$

.

As practically feasible, an approach was used, which is a method of statistical estimation of an indicator of the frequency of exposure to destabilizing factors [9].

The operating principles of the declared UM DCT, which implements the equipment of an intelligent stand by means of hardware implementation of the negative selection procedure based on the application of an algorithm for detecting anomalies of the artificial immune system, are reduced to the implementation of the principle of non-final decision making when assessing the expected impact by counting the number of switching subunits of fault detection [6].

This example was given among the possible prerequisites and options for statistical estimation of the frequency of exposure to destabilizing factors by the proposed CM DCT [14]. And it seems obvious that in preferred embodiments, changes and modifications can be made without departing from the scope of the present invention, using a larger number of fragments of the same type already described in the formula when pairing multichannel converters, as well as through the application of a number of other similar statistical methods [ 1, 9, 13].

List of sources used

1. M. Crane, O. Leuman. Introduction to the regenerative method of model analysis. M .: Nauka, 1982.

2. Kanaschenkov A.I., Merkulov V.I., Samarin O.F. The appearance of promising airborne radar systems. Features and limitations. - M .: IPRZhR, 2002.

3. 3D TV is becoming a reality / Mediasat Magazine. 2010, No. 03 (38). S.26-28. [Access Mode: HEY]. http://mediasat.net.ua/content/news_all/4509.

4. Low differential 3-D viewer glasses and method. EP 0325019 (A1), 89-07-26.

5. The language of radical schemes. Methods and Algorithms. / Ed. A.V. Chechkina and A.V. Rozhnova. - M.: Radio Engineering, 2008.

6. Artificial immune systems and their use. / Ed. D. Dasgupta. Per. from English under the editorship of A.A. Romance. - M .: Fizmatlit, 2006.

7. Mathematical modeling of motor camouflage technology and its application in the development of software components based on bionics. Competition of youth innovative projects “Flight of Thought: Aviation and Cosmonautics - 2007” (MAKS-2007).

8. Radchenko A.N. Modeling the basic mechanisms of the brain. L .: Nauka, 1968.

9. Electromagnetic compatibility and simulation of information and communication systems. - M.: Radio and Communications, 2002.

10. Hakobyan R.A., Agamalova M.A. Learning matrix. Autosvid. No. 262494. "Discoveries, inventions, industrial designs, trademarks", 1969. No. 6.

11. RU 61044.

12. USSR Authenticity Certificate No. 1675854, cl. G05B 23/02. Device Titova V.B. for monitoring and linearizing the transfer characteristics of multichannel converters. Titov V.B., Rusinov K.A. 1989.

13. Eremeev V.E. "Book of changes" and semantic coding. // Questions of philosophy. 2007. No5. S.112-121.

Claims (1)

A device for simulating two-channel converters, comprising a multi-dimensional sequence generator, a control unit, a memory unit, a control and linearization block for the transfer characteristics of multi-channel converters, characterized in that the control unit 1, the interface unit 3, the switching unit 4, and the comparison unit 5 are additionally introduced into the device control units and linearization of transfer characteristics of multichannel converters 6 and 7, counters 8 and 9, memory unit 10, control unit 1 having four outputs, output 1 bl control 1 is connected to input 1 of switching unit 4, output 2 of control unit 1 is connected to input of multi-dimensional sequence generator 2, output 3 of control unit 1 is connected to input 1 of counter 8, output 4 of control unit 1 is connected to input 1 of counter 9, multi-dimensional generator sequence 2, designed as a multi-channel device a matrix structure with feedback, having a control input and 2 ⁿ outputs information, information outputs of which correspond to the input interface unit 3, a block coupling 3 having a 2 ⁿ an ode and an output whose inputs correspond to the information outputs of a multidimensional sequence generator 2, the output of which is connected to input 4 of a switching unit 4, a switching unit 4 having a control input 1, three information inputs 2, 3, 4 and two outputs, a control input 1 of a switching unit 4 is connected to the output 1 of the control unit 1, the information inputs 2 and 3 of the switching unit 4 correspond to the studied external information channels, the information input 4 of the switching unit 4 is connected to the output of the interface unit 3, the output 1 of the switching unit 4 sub It is connected to the input 1 of the comparison unit 5 and to the input of the control unit and linearization of the transfer characteristics 6, the output 2 of the switching unit 4 is connected to the input 2 of the comparison unit 5 and to the input of the control unit and linearization of the transfer characteristics 7, the comparison unit 5 having two inputs and output , input 1 of comparison unit 5 is connected to output 1 of switching unit 4, input 2 of comparison unit 5 is connected to output 2 of switching unit 4, output of comparison unit 5 is connected to input 2 of memory unit 10, control and linearization of transfer characteristics 6 and 7, having every entry and the output, the inputs of which are respectively connected to the outputs 1 and 2 of the switching unit 4, the outputs of which are respectively connected to the inputs 2 of the counters of the switching numbers 8 and 9, output 2 is connected to the corresponding input of the memory unit 7, the counter of the number of switching 8, having a control input 1, information input 2 and output, control input 1 of the number switch 8 is connected to the output 4 of the control unit 1, information input 2 is connected to the output of the control and linearization of the transfer characteristics 6, the output of the number of switches 8 connection nen with input 1 of memory block 10, a switching number counter 9 having a control input 1, information input 2 and an output, a control input 1 of a switching number counter 9 is connected to output 3 of a control unit 1, information input 2 is connected to an output of a transmission control and linearization unit characteristics 7, the output of the counter of the number of switches 9 is connected to the input 3 of the memory unit 10, the memory block 10 having 3 inputs, which are respectively connected to the outputs of the counter of the number of switches 8, the comparison unit 5, the counter of the number of switches 9.

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