Category Archives: 2019 year

EVOLUTION OF THE OBSERVER STATE FROM PULSE TO PULSE
IN AN ELECTRIC DRIVE WITH A CONTACTLESS DC MOTOR


UDC 621.313.292
DOI:10.26102/2310-6018/2019.27.4.046

S.A. Vinokurov, O.A. Kiseleva, N.I. Rubtsov


The paper analyzes the current state in an electric drive with a contactless DC motor, considering that the control system in it is built as a hybrid, which is inherent in both discrete and continuous dynamics. The ideal vector control of a contactless DC motor can be described theoretically and used as a template for determining deviations in various control methods and evaluating their effectiveness. The paper compares the ideal control with discrete control, shows the possibility of implementing continuous control laws due to the displacement of control pulses in space and time. With pulse control, which is used in the electric drive at the present time, not only the pulse durations are calculated, but also the distances between them, that is, the beginning of the next pulse, and most importantly, the leading base vector is selected. The state observer in such a system performs a complex role, since there are delays in the system links, that must be considered, since they can disrupt the stability of the synchronous mode of the engine with the state observer. The paper presents a block diagram of a mathematical model of a state observer with a full-revolution detector.

Keywords: contactless DC motor, state observer, hybrid control, leading base vector.

Full text:
VinokurovSoavtors_4_19_1.pdf

FEATURES OF THE APPLICATION OF THE OBSERVER STATES
IN A CONTACTLESS DC MOTOR


UDC 621.313.292
DOI:10.26102/2310-6018/2019.27.4.045

O.A. Kiseleva, T.V. Popova, A.Y. Timoshkin


The paper deals with the analysis of the formation of discrete vector an equivalent tape to control brushless DC motor. The issues of using state observers instead of electromechanical rotor position sensors are considered. Shows the feature of constructing an observer status, for localdate that information on its input comes from continuous work-th current field, and the output it generates discrete torque control field switching of the windings of the synchronous motor power voltage inverter based on the motor parameters and actuators. To ensure synchronization, it is necessary to decide on the frequency of sensor polling and the possibility of processing this information, which leads to signal delays. It is necessary to take into account not only the time dependence associated with the beginning and end of the pulses, but also the spatial dependence associated with the alternation of the basic leading vectors. The estimation of control efficiency in electric drives with contactless DC motors and sensors of supervision is carried out. In some cases, the use of speed observers in the electric drive leads to a decrease in the speed control range. Graphs of transient processes in the electric drive at different values of the speed controller parameters are constructed.

Keywords: contactless DC motor, state observer, transient characteristics, discrete control field.

Full text:
KiselevaSoavtors_4_19_1.pdf

STRUCTURIZATION OF ENVIRONMENTAL INFORMATION WITH APPLICATION OF GEOINFORMATION TECHNOLOGIES


UDC 658.512.26
DOI:10.26102/2310-6018/2019.27.4.044

K.A. Fedutinov


The article discusses the development of managerial decisions to improve the environment through the introduction of geographic information technologies, including methods for assessing and predicting the environmental situation based on monitoring approaches. The development of big data processing technologies has identified trends in the widespread implementation of real-time monitoring systems. In this regard, the task of monitoring natural objects is proposed to be solved as the task of determining and controlling the properties and states of a complex object in real time and actively interacting with the environment, as well as developing managerial decisions and recommendations. It is proposed to use the Fuzzy ART neural network as a mathematical apparatus for structuring environmental information, which has proven itself in real-time data processing. To visualize the received information and integrate the results of the network operation of the Fuzzy ART network into a geographic information system, it is proposed to use the Folium Python library, which is intended for graphical display of geographic data and contains all the necessary cartographic information. Using Folium, the results of the structuring of environmental data can be displayed directly on Google maps, which makes it possible to visually determine the boundaries of clusters and possible buffer zones when the map is scaled up.

Keywords: neural network, clustering, machine learning, adaptive resonance theory, Fuzzy ART network, GIS system.

Full text:
Fedutinov_4_19_1.pdf

EFFECTIVE METHOD OF DESIGNING CAD MODELS WITH LATTICE STRUCTURE


UDC 658.512.26
DOI:10.26102/2310-6018/2019.27.4.043

N.V. Tsipina, O.N. Chirkov, S.A. Slinchuk, I.V. Cheprasov, V.A. Madesov


This article shows how important it is to develop a convenient and simple method for designing lattice parts in production. The purpose of the entire experiment is to observe, analyze and solve problems in the design of lattice structures. The performance of modern tools of computer-aided design (CAD) systems was also evaluated. All the disadvantages and positive aspects of the developed method are indicated. The considered design method allows designers to choose the right lattice structure and its density. An essential part of this proposal is the use of equivalent lattice materials. This approach eliminates the need to design lattice-based CAD models and shortens the simulation time for FEMs. This methodology may be applicable in determining equivalent materials for other lattice structures. Equivalent materials also reduce FEM simulation time. The performance of modern tools of computer-aided design systems was evaluated to determine whether they adequately meet the requirements of additive manufacturing. The results show that modern CAD systems do not allow you to easily and quickly design lattice structures for additive manufacturing. It is necessary to develop modern CAE software to conduct finite element method analysis on a 3D lattice model.

Keywords: lattice structure, CAD software, finite element method (FEM).

Full text:
ZipinaSoavtors_4_19_2.pdf

ESTIMATION OF CAD CHARACTERISTICS IN THE CONTEXT OF DESIGNING MODELS WITH LATTICE STRUCTURE


UDC 658.512.26
DOI:10.26102/2310-6018/2019.27.4.042

N.V. Tsipina, O.N. Chirkov, S.A. Slinchuk, I.S. Bobylkin, E.I. Vorobiev


This article assesses the current characteristics of computer-aided design (CAD) systems in the context of the design of models with a lattice structure. During the design of the experiment, three variables were selected, two lattice structure templates, rods of lattice structures with two different sections and four sizes of parts were designed. The purpose of the whole experiment is to observe the problems that the user encounters when designing lattice structures in CAD software, as well as to determine the effect of the type and size of lattice structures on file sizes and whether modern file formats are suitable for the requirements of additive manufacturing. The obtained experimental results show that it is difficult to design CAD models with a lattice structure, since this process takes a lot of time and creates large files. In some cases, the program could not perform the desired operation. New requirements for the design of parts for additive manufacturing lead to new needs in computer-aided design. New research is needed to determine the most reliable and efficient methods for designing lattice structures in CAD software.

Keywords: CAD features, additive manufacturing, octet farm, cubic lattice structure.

Full text:
ZipinaSoavtors_4_19_1.pdf

STUDY OF THE EFFECTIVENESS OF VARIOUS CONTROL ALGORITHMS TO ENSURE THE PROTECTION OF QUEUES FROM CONGESTION IN RESOURCE RESERVATION SYSTEMS


UDC 004.7
DOI:10.26102/2310-6018/2019.27.4.041

Osama Alkaadi


Controlling network congestion is a very urgent task while securing queues in resource reservation systems. This is one of the key elements, as many controllers were introduced to control overload to solve the problem. This article analyzes the impact of network workload on the performance of various active queue management controllers, including the traditional Drop Tail controller, to ensure that queues are protected from congestion in resource reservation systems. This paper presents an analysis of four possible scenarios with the same network parameters except for the network workload. The performance of each controller is measured using various performance metrics. The effect of network traffic load on the performance of network controllers can be easily observed in the four presented scenarios. The behavior of all controllers clearly indicated the effect of network traffic load on their performance. The results showed that the load on network traffic is directly proportional to bandwidth, packet loss and delay. The results can be used to create fault-tolerant resource reservation systems.

Keywords: workload, network, queues, controller, resource reservation.

Full text:
OsamaAlkaadi_4_19_1.pdf

MODIFICATION OF NEURAL NETWORK MODEL RKELM
WITH ADDITIONAL TRAINING


UDC 681.3
DOI:10.26102/2310-6018/2019.27.4.040

Y.A. Asanov, S.Y. Beletckaya


The aim of this work is developing of an artificial neural network model (ANN) capable of working in dynamically changing conditions. Despite a large number of research and development in this sphere, there are still no models that satisfy the limited resources of mobile systems (primarily – performance). This article proposes a developed modification of the Huang Extreme Learning Model, which differs from the original approach in the training process – training on common conditions, without increasing the weight matrix and the training sample, followed by further training for specific conditions. As a test sample of data, a dataset from the open source machine-learning repository UCI was used. Vast experiments were performed, the purpose of which was to identify the most suitable model, the choice was made from RKELM, SVM and ELM. The selection criteria for the model were performance and classification accuracy. The model with extreme training of Huang turned out to be the most suitable, it was used as the basis of the developed modification. The results of comparing the original and modified models are presented. The proposed approach surpassed the competition in speed and performance, while only slightly inferior in accuracy of data classification in the initial conditions, but turned out to be much more accurate in the new conditions in which the model was not trained.

Keywords: artificial neural network, RKELM modification, model with an additional training.

Full text:
AsanovBeletckaya_4_19_1.pdf

FORECASTING TIME SERIES USING EVENT BINDING


UDC 004.855.5
DOI:10.26102/2310-6018/2019.27.4.039

I.N. Kolesnikov


This article discusses the concept of modification of the time series analysis method, focused on integration with clustering methods in real-time training mode. Various methods of forecasting time series and machine learning are analyzed. The method described in the article predicts the behavior of the time series based on large data obtained from various sources and associated with existing transactions in the time series. This approach makes it possible to find the dependence of changes in certain indicators of the considered systems depending on various events. The performed research offers the concept of automated system training in real time with the possibility of further software implementation. The concept under consideration allows you to build forecasts for any time series, depending on various events, news and data that are in the public domain. An approach is proposed that links events to a transaction chart. The advantage of this approach is the ability to find various dependencies between events and various changes in indicators, for example: prices on exchanges, values of social indicators and many others.

Keywords: data analysis, forecasting, time series, big data, cluster analysis, data mining.

Full text:
Kolesnikov_4_19_1.pdf

METHOD OF VERBAL ANALYSIS OF SOLUTIONS FOR THE SOFTWARE SELECTION FOR CUSTOMER RELATIONSHIP MANAGEMENT

UDC 004.9
DOI:10.26102/2310-6018/2019.27.4.038

E.S. Egorova, N.A. Popova


The relevance of the article is due to the existing difficulty in making decisions in the process of choosing software products that automate business processes of enterprises, including customer relationship management. Therefore, for a diverse analysis of systems, it is proposed to use a two-stage methodology for a formalized assessment of the functionality of software and systems. At the first stage, the results of a multivariate analysis of customer relationship management software are presented. During the criteria-based assessment, the functional and instrumental characteristics necessary for products of this type were selected. The results of the analysis showed that using this approach it is quite difficult to make a decision on the choice of a product, since all systems have approximately the same sets of functional capabilities. At the second stage of the study, in the process of determining the optimal system, it is proposed to use the method of verbal analysis of solutions to find the best alternative. As a result of a formal analysis of systems using the developed software application, a potential leader was identified among the systems under consideration, however, further research involving an expert and comparing all pairs of systems according to their strengths and weaknesses made it possible to distinguish another alternative among customer relationship management systems. The method of verbal decision analysis based on the opinion of experts in the field of design allows you to choose the most effective tool in a specific industry area, and the developed software application allows you to optimize the work of analysts.

Keywords: verbal decision analysis method, software, customer relationship management, CRM system, formal analysis of a set of initial alternatives, scale of normalized ordered differences.

Full text:
EgorovaPopova_4_19_1.pdf

MODEL HELICOPTER-TYPE AIRCRAFT LANDING CONTROL
ON AN UNPREPARED SNOW-COVERED AREA

UDC [621.396.96+53.082.74]
DOI:10.26102/2310-6018/2019.27.4.037

V.G. Mashkov, V.А. Malyshev


The article is devoted to research in the field simulation helicopter-type aircraft landing. The analysis the standard means landing, installed on helicopter – type aircraft at the present time showed that in Arctic conditions they are not able to provide the crew with information about the underlying surface (landing site), in particular, the depth snow, the slope the earth’s surface under the snow cover, the presence obstacles. Simulation the process controlling the landing a helicopter – type aircraft on an unprepared site with a snow cover with the proposed radar landing system showed that the task can be successfully solved. To do this, the underlying surface (landing site) is probed and information is given to the crew about the possibility landing, or lack thereof, comparing the measured values with those specified for a particular type aircraft. The logical information model, reflecting the automation the management process fit with the purpose increasing the probability correct site selection as an indicator safety landing an aircraft the helicopter type, by radar determine the parameters and characteristics plane-environments, depth snow cover, obstructions and slope the earth’s surface the landing site. The use the model is possible in the development radar systems to ensure the safe landing a helicopter – type aircraft on an unprepared snow-covered area in conditions insufficient information about the underlying surface the cabin space.

Keywords: plane-medium, subsurface sensing, landing of the helicopter, a landing place, an unprepared area.

Full text:
MashkovMalishev_4_19_1.pdf