Apparatus for simulating multichannel converters

FIELD: information technology.

SUBSTANCE: apparatus has a synchronisation unit 1, an integrated unit 2, a switch 3, units for controlling and linearising transfer characteristics of multichannel converters 4, counters for counting the number of times a fault detection subunit 5 is switched, a control unit 6, memory units 7 and 8. The output of the synchronisation unit is connected to the input of an interfacing unit, and a multidimensional sequence generator is in form of a multichannel device of a matrix structure with feedback, and the data output of the interfacing unit fully conforms to data connections, and its data output is connected to the input of the switch.

EFFECT: high accuracy of simulation by combining control of transfer characteristics and statistical estimation of the frequency index of the effect of the set of destabilising factors.

2 dwg

 

Device for simulating multi-channel converters (MIND MCP) in the study of regenerative processes with discrete time refers to the automation and computer engineering and can be used to address research and applied scientific and engineering problems [1, 2], based on the principles of immunology.

To consider means and methods include [3, 4]: systems based on the principles of immunity, artificial immune system, immunological computation.

The scope is attributable generally to functional tasks equip through the MIND MCP intellectual stand using a special language schemes radicals [5], mainly models are presented [3: C.11, 12, 297, 298].

In this MIND MCP in the study of regenerative processes with discrete time can be in principle used basic statistical method for estimating a frequency influence of destabilizing factors [6] by the hardware implementation of procedures based on the application of the algorithm for detecting anomalies of artificial immune systems - so-called adverse selection procedure [3].

In mathematical Cybernetics known device, allowing different in nature to the physical implementation of informal models intellectually the second data processing [5, 11].

In practice, the most common is the problem of identification using probabilistic recognition systems, which allows to ensure the implementation of the identification process, including when modeling the recognition of some features of the method of statistical tests, in our case using the so-called regenerative models [7].

Known principles of operation and some properties of the multi-channel device of matrix structure with feedback.

This matrix feedback is a device of the matrix type Steinbach [8], in which between the horizontal and vertical lines formed by the feedback through the power rationing. The presence of an iterative process allows the use of the specified matrix with feedback as a generator multidimensional sequences.

Obtaining a sequence with the desired characteristics can be achieved by selection of the composition of the elements of the matrix and the aggregate of the start signals. This Association will provide not only an arbitrary flexible restructuring of the relations in the model, but also to organize the modeling procedures for the recognition of complex dynamic object (SRE) within the structure without increasing the number and complexity of relationships.

However, the use of specified funds as etal is on for a logical recognition systems in the multi-channel device of matrix structure with feedback in model identification process LMS in practice, typically, the characteristics of the a priori data are not sufficient for assessment of the rate impact of destabilizing factors [9].

The closest to the destination and the technical nature of a device for control and linearization of the transfer characteristics of the multi-channel converters [10], providing functional diagnostics controlled multi-channel converters; the device contains the power failure detection transducers, the computing unit of the characteristics of the inverters, the inverter and the switch connected to the converters.

Among the main disadvantages of the required tools, applicable in principle when creating invariant to noise linear transducers, is the anticipation of possible situations complex (compound) impact on the simulated object in the intellectual framework of the stand with the guarantee time parameters of the process under investigation by external means, which do not allow for modeling multi-channel converters with the required quality in the case of phenomena that are close to statistically irreversible transformations [7].

The main purpose of the invention is an integrated device that allows you to pre-empt the situation complex (compound) in the actions on the simulated object destabilizing factors through the use of a cascade of n identical fragments with an intellectual stand, including memory blocks, etc. using multi-channel device of matrix structure with feedback, as well as devices Titova V.B. have been to control and linearization of the transfer characteristics of the multi-channel converters.

This objective is achieved in that the modeling of the reference procedures for the recognition of complex dynamic object in the device additionally introduced a new sequence block synchronization, combined generator multidimensional sequences and the interface block, the switch counts the number of switching subunit Troubleshooting, memory blocks, and management, and new links between the specified equipment cascade, the relevant functional relationships.

Device for simulating multi-channel converters, comprising a generator multidimensional sequences, control unit, memory blocks, the control units and the linearization of the transfer characteristics of the multi-channel converters, with additionally introduced by the synchronization unit, a connection unit, switch, control unit, memory units, counters of the number of switches subunit Troubleshooting, respectively, includes in its composition with the components shown in figure 1 (functionally independent variant) [9].

Functionally independent the (non cascade) component of the device for simulation of multi-channel converters comprises: a generator multidimensional sequences 1, made in the form of multi-channel device of matrix structure with feedback, having a control input 1, 2ninformation inputs and 2ninformation outputs, information outputs which correspond to the inputs of the interface block 2;

the connection unit 2 with 2ninputs and an output, the inputs of which correspond to the data outputs of the generator multidimensional sequences 1, the output of which is connected to the input 2 switch 3;

switch 3 having a control input 1, 2 information inputs 2 and 3, and output information input 2 is connected to the output connection 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;

the control unit and linearization of the transfer characteristics of the multi-channel converters 4, made in the form of device Titova V.B. have been to control and linearization of the transfer characteristics of the multi-channel converters having inputs and 2 outputs, the input connected to the output of the switch 3, output 1 is connected to a functional input 2 counter of the number of switches 5;

the count of the number of switches 5, having a control input 1 function input 2 and the output function input 2 is connected to the output 1 control unit and linearization of the transfer characteristics of the multi-transformed is resolutely 4.

Functionally independent (non-cascade) component of the device for simulation of multi-channel converters main modes of type (preceded by the utility model [9]: device modeling procedures for the recognition of complex dynamic object).

Device for simulating multi-channel converters schematically shown in figure 2. and in its composition respectively contains:

the synchronization unit 1 having an output, the output of the synchronization unit 1 is connected to the input 1 of the interface block 3;

- combined through 2n informational links into a single unit 2 generator multidimensional sequences, made in the form of multi-channel device of matrix structure with feedback, and the interface block, the information output of which fully corresponds to 2n communications in a combined (single) unit 2, having a control input 1, 2n information input and information output information output of which is connected to the input 2 switch 3;

- 3 switch with 2 control input 1 and 4, the information input 2 and n information 3 inputs and n outputs, control input 1 is connected to the output of the synchronization unit 1, the information input 2 is connected to the combined output of block 2, n information inputs 3, correspond to the number of control units and the linea is Itachi transmission characteristics 4, n outputs of the switching unit 3 is connected with the corresponding inputs of the n control units and linearization of the transfer characteristics 4;

- n control units and linearization of the transfer characteristics 4, each having input and 2 outputs, for each of which the input is connected to the corresponding output of the switching unit 3, output 1 is connected with the information input 2 corresponding counter of the number of switches 5, output 2 is connected to the corresponding input of the memory block 7;

- n counter of the number of switches 5, each having a control input 1, the information input 2 and output, each of which has a control input 1 counter of the number of switches 5, providing them reset, information, input 2 is connected to the output 1 of the corresponding control unit and linearization of the transfer characteristics 4 output connected to the corresponding input of the memory block 8;

the control unit 6 having an output, the output connected to the control input 4 of the switching unit 3;

- memory blocks 7 and 8, having n inputs respectively connected to outputs 2 n control units and linearization of the transfer characteristics 4 and the n outputs of the counters of the number of switches 5.

In scientific and technical literature is not found technical solutions to these essential features, which allows to make a conclusion about its novelty. Not least is discovered and devices in which the goal was achieved all over again introduced a set of essential features that allows to make a conclusion about the level of invention proposals.

The device is also illustrated by drawings, where figure 1 shows the structural diagram functionally independent component device for modeling multi-channel converters. In figure 2, respectively, presents the construction of the device for simulation of multi-channel converters in General (of the same components).

Device for simulating multi-channel converters operates in accordance with the description functionally independent (non-cascade) component in the basic operating modes of the device to simulate the detection of complex dynamic object [9], while the conditions of functioning of the device as a whole without activation (offline) and online activation mode [3]:

it is assumed that the initial state of the generator multidimensional sequences in the combined unit 2 is turned off, the counters of the number of switches 5 through the control input 1 reset input of the switch 3 receives the analyzed external signal to the input of the control unit and linearization of the transfer characteristics of the multi-channel converters 4 receives the signal through to the mutator 3;

in case of repeated exceeding of the threshold counter of the number of switches 5 after activation of the operating mode shutdown MIND ITUC and the task of detection (identification) at this stage for the corresponding channel is made;

generator multidimensional sequences in the combined unit 2 is used for alignment and to provide separate channels of the desired sequence by the control unit 6.

In particular, for both offline and online modes, MIND MCP provides, respectively, engaging the external (for the required number of channels) signal through block 2 and switch 3 - smart stand in General for the full-time mode of the device Titova V.B. have been to control and linearization of the transfer characteristics of the multi-channel converters, see figure 1 [9, 10]; non-standard mode of the device for control and linearization of the transfer characteristics of the multi-channel converters is crucial for the functional purpose of the proposed device, a transition in which (mode) occurs after exceeding the threshold the number of operation of a counter of the number of switches; desired output for memory blocks 7 and 8 (cascade) are testimony of the locks control and linearization of the transfer characteristics of the multi-channel converters 4, as well as readings of these meters 5.

Thus, the threats and the level of danger in the environment supersystem possible to judge on the degree of manifestation of the desired properties in the process of operation of the described cascade, providing proactive in principle possible situations complex (compound) impact on the simulated object in the context of intellectual stand with guaranteed study of the process of external funds (on the basis of their potential performance), with the required quality in the case of phenomena that are close, in fact, statistically irreversible transformations [7].

Thus, the danger of functioning manifested in the emergence of destabilizing factors in the course of performing the specific functional operations of a number of developed complexes [1, 2]. Accumulating information about the destabilizing factors that arose in the course of such operations, you receive the actual opportunity of estimating the rate of destabilizing factors accumulated in the process of carrying out a comprehensive research of statistical data.

Under a statistical estimate of the rate of impact refers to the numeric value of this indicator, calculated according to the results of observations of specified operations.

On sledovatelnot {X nn>1} of random vectors of dimension K is a regenerative process, if there exists an increasing sequence 1<β12<... random discrete points in time, called moments of regeneration, such that the development process, since each of these points is determined by the same probabilistic laws, and when β1.

This means that between any two consecutive moments of regeneration, for example βjand βj+1part of the process {Xnthat βj≤n<βj+1} is independent probabilistic copy" part of the process between any other two successive moments of regeneration. However, for part of the process, concluded between point 1 and point β1although independent from the other parts, Pets contrast distribution. Part of the process {Xnthat βj≤n<βj+1} will be called the j-th cycle.

For example, systems of mass service for Xn=Wn, moments of regeneration {βj, j≥1} are the sequence numbers of those requirements that upon arrival, find a service device free. Because of interest in practice, cases regenerating models in the formulation have a stationary distribution, it is possible to provide an estimate of the desired features and advantages of the K.

Let f be a measurable function from To arguments that accepts valid values, and assume that the goal of modeling is to estimate the values of r≡E{f(X)} (in reality, these so-called "good" features include all that are of practical interest).

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

If f(x)=x for all x, r≡E{f(X)}=E{X}.

Thus, the evaluation of r is equivalent to evaluating F{X)}.

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

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

Consider the effects of regeneration, which were used to obtain the confidence interval for r.

Let

i.e. Yjis the sum of the values f(Xi) on the j-th cycle.

The sequence consists of independent and identically distributed random vectors.

If

E{|f(X)|}<∞,

As practically possible to implement the approach used, representing a statistical method for estimating a frequency influence of destabilizing factors [6: s-243].

The principles stated MINDS Inc, implements the intellectual equipment of the stand by means of hardware implementation procedures tricatel the tion selection based on the application of the algorithm for detecting anomalies of artificial immune system can be reduced to the implementation of the principle inconclusive decision-making when assessing the expected impact by counting the number of switching subunit Troubleshooting [9].

Such an example was shown in the number of possible preconditions and options statistical evaluation of the rate impact of destabilizing factors proposed by the MIND of the MCP. And it is obvious that in preferred embodiments, the execution can be done changes and modifications not departing from the scope of the present invention, using a larger number of already described in the formula of similar fragments cascade when pairing multi-channel converters, as well as through the application of a number of other largely similar statistical methods.

List of used sources

1. Vasiliev V.A., Mukhin VI Strategic defense initiative and layered missile defense of the United States. - M, the USSR, 1990.

2. Konashenkov A.I., V.I. Merkulov, Samarin OF Look promising airborne radar systems. Opportunities and constraints. - M.: IPGR, 2002.

3. Artificial immune systems and their applications / edited by D. Dasgupta. TRANS. from English. edited Arm. - M.: Fizmatlit, 2006.

4. Polos A.I., Wolf is in A.G. Intelligent models and methods of diagnosing RTS. - M.: VA SRF behalf of Peter the Great, 2005.

5. The schema language radicals. Methods and algorithms / edited Avecina and Averianova. - M.: radio engineering, 2008.

6. Electromagnetic compatibility and simulation of communication systems. - M.: Radio and communication, 2002.

7. McLain, Oleman. Introduction to the regenerative method of analysis models. M., Nauka, 1982.

8. Hakobyan R.A., Agamalov M.A. Learning matrix. Auth. mon. No. 262494. "Discoveries, inventions, industrial designs, trademarks, 1969, No. 6.

9. RF patent for useful model №61044.7 IPC G05B 23/02. Device for simulating detection LMS. Rozhnov AV, Burlaka A.I., Kublik H., Belavkin P.A., Shields A. Prior. from 16.11.06 was Recorded. in GOS. register of inventions of the Russian Federation 10.02.07.

10. Auth. the certificate of the USSR No. 1675854, CL G05B 23/02. The device Titova V.B. have been to control and linearization of the transfer characteristics of the multi-channel converters. Titov V.B. have been, Rusyns K.A., 1989.

11. Radchenko A.N. Modeling the basic mechanisms of the brain, Leningrad: Nauka, 1968.

Device for simulating multi-channel converters, comprising a generator multidimensional sequences, control unit, memory blocks, the control unit and linearization of the transfer characteristics of the multi-channel converters, characterized in that the device updat the Executive introduced the synchronization unit 1, block 2, switch 3, n control units and linearization of the transfer characteristics of the multi-channel converters 4, n counters of the number of switches subunit Troubleshooting 5, the control unit 6, the memory blocks 7 and 8, the synchronization unit 1 having an output, the output of the synchronization unit 1 is connected to the input 1 of the interface block 3; combined through 2n informational links into a single unit 2 generator multidimensional sequences, made in the form of multi-channel device of matrix structure with feedback, and the interface block, the information output of which is combined in unit 2 is fully consistent 2n communications with the control input 1, 2n information input and information output information output of which is connected to the input 2 switch 3; 3 switch with 2 control input 1 and 4, the information input 2 and n information 3 inputs and n outputs, control input 1 is connected to the output of the synchronization unit 1, the information input 2 is connected to the combined output of block 2, n information inputs 3, correspond to the number of control units and linearization of the transfer characteristics 4, n outputs of the switching unit 3 is connected with the corresponding inputs of the n control units and linearization of the transfer characteristics 4; n control units and linearization of the transfer'hara the characteristics of 4, with each input and 2 outputs, for each of which the input is connected to the corresponding output of the switching unit 3, output 1 is connected with the information input 2 corresponding counter of the number of switches 5, output 2 is connected to the corresponding input of the memory block 7; n counters of the number of switches 5, each having a control input 1, the information input 2 and output, each of which has a control input 1 counter of the number of switches 5, providing them reset, information, input 2 is connected to the output 1 of the corresponding control unit and linearization of the transfer characteristics 4 output connected with the corresponding input of the memory block 8; the control unit 6 having an output, the output connected to the control input 4 of the switching unit 3; memory blocks 7 and 8, having n inputs respectively connected to outputs 2 n control units and linearization of the transfer characteristics 4 and the n outputs of the counters of the number of switches 5.



 

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FIELD: information technology.

SUBSTANCE: reaction of a good, time-discrete system is recorded first; integral estimates of output signals of the discrete system are determined; the number of analysed single and multiple defects of units is recorded; integral estimates of signals of the model for each control point are determined; deviations of integral estimates of signals of the discrete model are determined; standardised values of deviations of integral estimates of signals of the discrete model are determined; the system with nominal characteristics is replaced with the controlled system; an analogue test signal is transmitted to the input of the system; integral estimates of signals of the controlled discrete signals are determined for control points for the discrete integral transformation parameter; deviations of the integral estimates of signals of the controlled discrete system are determined for control points from the nominal values; standardised values of deviations of integral estimates of signals of the controlled discrete system are determined from the ratio; diagnostic features are determined from the ratio; the index number of the single defect of the unit or a combination of defects of units is determined from the maximum value of the diagnostic feature.

EFFECT: broader functional capabilities of the method of finding one or several faulty units at once in a dynamic system with arbitrary connection thereof, and lower computational costs associated with use of a simpler diagnostic feature.

1 dwg

FIELD: information technology.

SUBSTANCE: reaction of a good system on an interval at control points is recorded, and integral estimates of output signals of the system are determined, for which at the moment of transmitting a test or operating signal to the input of the system with nominal characteristics, integration of signals of that system is simultaneously started for each control point with a weight function equal to the arithmetic average value of moduli of derivatives of its signals at the control points, where averaging is carried out on the number of control points.

EFFECT: finding one or several faulty units at once in a dynamic system with arbitrary connection thereof, and lower computational costs associated with use of a simpler diagnostic feature.

1 dwg

FIELD: information technology.

SUBSTANCE: reaction of a good system on an interval at control points at discrete time instants to an input stimulus is recorded; output signals of a model are determined for each of the control points, obtained as a result of trial deviations of the examined single and multiple parametric defects of units.

EFFECT: improved noise-immunity of the method of detecting parametric defects in continuous automatic control systems by improving distinguishability of defects and broader functional capabilities of the method of finding one or several deviations at once of transfer function parameters of units of an arbitrary structure in a dynamic system with arbitrary connection of units, and reduced computational costs associated with calculation of the diagnostic feature.

1 dwg

FIELD: automatic control, applicable in systems with excessive quality of transducers, for example, accelerometers, a failure of one of which should not result in a failure of the control system.

SUBSTANCE: the method is based on a periodic check-up of relation between the measured parameters of motion characterizing the correct operation of the transducers, fixation of the moment of failure of the relation, comparison of the readings of the transducers at this moment and at the moment preceding the moment of disturbance of the relation, and determination of the failed transducer by the results of the comparison.

EFFECT: expanded functional potentialities due to possibility of determination of the failed transducer in any excess system.

1 dwg

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