Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208099
I. N. Mymrin, A. N. Krasnov, M. Prakhova
Crude oil fiscal metering is a complex metrological procedure, as the main metering means – SIKNS (crude oil quantity and quality parameters measuring systems) are affected by many interfering external factors. Among other things, paraffin deposits on the inner surface of the SIKNS measuring lines (MLs), in which flow meters are installed have a significant effect. Direct measuring the paraffin layer thickness in the time of the SIKNS operation is impossible, however, there is a relationship between the ML flow and the line pressure and temperature, which depends on the presence of paraffin deposits.Studies conducted based on the mathematical model of the SIKN measuring line section developed in the Aspen HYSYS software environment have shown that regression equations, which relate the ML flow to the line pressure and temperature depending on the paraffin layer thickness can be obtained. To increase the model adequacy, the errors of specific measuring instruments involved in the metering process (pressure and temperature transmitters) have been considered. Assessment of the adequacy of the regression equations obtained has shown that the relationship and the equation coefficients are only significant for pressure, so the ML temperature cannot be used to analyze the amount of paraffin deposits in it. In general, the measures proposed in the article allow developing a high-quality procedure for evaluating the paraffin contamination of MLs to ensure their timely shutdown for washing that will improve the crude oil metering accuracy.
{"title":"Improving the Crude Oil Metering Accuracy","authors":"I. N. Mymrin, A. N. Krasnov, M. Prakhova","doi":"10.1109/RusAutoCon49822.2020.9208099","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208099","url":null,"abstract":"Crude oil fiscal metering is a complex metrological procedure, as the main metering means – SIKNS (crude oil quantity and quality parameters measuring systems) are affected by many interfering external factors. Among other things, paraffin deposits on the inner surface of the SIKNS measuring lines (MLs), in which flow meters are installed have a significant effect. Direct measuring the paraffin layer thickness in the time of the SIKNS operation is impossible, however, there is a relationship between the ML flow and the line pressure and temperature, which depends on the presence of paraffin deposits.Studies conducted based on the mathematical model of the SIKN measuring line section developed in the Aspen HYSYS software environment have shown that regression equations, which relate the ML flow to the line pressure and temperature depending on the paraffin layer thickness can be obtained. To increase the model adequacy, the errors of specific measuring instruments involved in the metering process (pressure and temperature transmitters) have been considered. Assessment of the adequacy of the regression equations obtained has shown that the relationship and the equation coefficients are only significant for pressure, so the ML temperature cannot be used to analyze the amount of paraffin deposits in it. In general, the measures proposed in the article allow developing a high-quality procedure for evaluating the paraffin contamination of MLs to ensure their timely shutdown for washing that will improve the crude oil metering accuracy.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115626696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208167
K. Semenkov, V. Promyslov, A. Poletykin
The paper deals with the problem of the design of digital twins of cyberphysical systems of an Industry 4.0 concept. It analyses and compares properties of models in application to the modeling of digital and physical component of a cyberphysical system. A hybrid model that includes virtual machines and emulators and some real hardware is recommended for the purposes of testing and verification of complex cyberphysical system. The importance of single timescale maintaining within the computer models is emphasized. The real case a hybrid model created for integration tests and cybersecurity researches is described. The achievements and drawbacks of the implemented model are discussed.
{"title":"Verification of Large Scale Control Systems with Hybrid Digital Models and Digital Twins","authors":"K. Semenkov, V. Promyslov, A. Poletykin","doi":"10.1109/RusAutoCon49822.2020.9208167","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208167","url":null,"abstract":"The paper deals with the problem of the design of digital twins of cyberphysical systems of an Industry 4.0 concept. It analyses and compares properties of models in application to the modeling of digital and physical component of a cyberphysical system. A hybrid model that includes virtual machines and emulators and some real hardware is recommended for the purposes of testing and verification of complex cyberphysical system. The importance of single timescale maintaining within the computer models is emphasized. The real case a hybrid model created for integration tests and cybersecurity researches is described. The achievements and drawbacks of the implemented model are discussed.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208164
I. Jumanov, O. Djumanov, R. Safarov
A methodology has been developed for optimizing the identification of micro-objects based on the use of neural networks (NN) of various topologies, synthesis of image processing mechanisms, extracting statistical, dynamic, specific characteristics, selecting and segmenting a contour, selecting reference points and reducing redundant points, taking into account systematic error factors, choosing an adequate model, setting variables and optimization. Methods and algorithms for determined and multivariate analysis, obtaining the coefficients of influence and elasticity of factors, approximating the contours represented by time series are proposed. Modified component schemes of the NN, training algorithms, developed a software package (SP) for visualization, recognition, classification of images of pollen grains, implemented a hybrid identification model taking into account the non-linearity of the effects of factors under the condition of a priori insufficiency and uncertainty of parameters. The efficiency of the SP was studied on the basis of a three-layer NN of forward and backward propagation of errors, learning algorithms with and without a teacher, Kohonen network with procedures for vector quantization, clustering and segmentation and the formation of a "sliding windows". The results of image identification in the presence of "noise", optimization based on filtering systematic error and NN extrapolation of the trend of the contour curve of the images of pollen grains were obtained.
{"title":"Optimization of Identification of Images of Micro-Objects Taking Into Account Systematic Error Based on Neural Networks","authors":"I. Jumanov, O. Djumanov, R. Safarov","doi":"10.1109/RusAutoCon49822.2020.9208164","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208164","url":null,"abstract":"A methodology has been developed for optimizing the identification of micro-objects based on the use of neural networks (NN) of various topologies, synthesis of image processing mechanisms, extracting statistical, dynamic, specific characteristics, selecting and segmenting a contour, selecting reference points and reducing redundant points, taking into account systematic error factors, choosing an adequate model, setting variables and optimization. Methods and algorithms for determined and multivariate analysis, obtaining the coefficients of influence and elasticity of factors, approximating the contours represented by time series are proposed. Modified component schemes of the NN, training algorithms, developed a software package (SP) for visualization, recognition, classification of images of pollen grains, implemented a hybrid identification model taking into account the non-linearity of the effects of factors under the condition of a priori insufficiency and uncertainty of parameters. The efficiency of the SP was studied on the basis of a three-layer NN of forward and backward propagation of errors, learning algorithms with and without a teacher, Kohonen network with procedures for vector quantization, clustering and segmentation and the formation of a \"sliding windows\". The results of image identification in the presence of \"noise\", optimization based on filtering systematic error and NN extrapolation of the trend of the contour curve of the images of pollen grains were obtained.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120967123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208193
A. Scoba, V. Mikhaylov, A. Panfilov
In this paper, using the exponential Queuing networks (QN) apparatus, the problem of finding the maximum fault tolerance distributed information processing systems (IPS) implemented on the basis of a two-level and three-level client-server architecture is formulated and solved. The method of finding the average response time for all user requests is presented. It takes into account the impact of fault tolerance of individual servers of such a system. The problem determining the fault tolerance indicators of distributed IPS was reduced to the problem determining the stationary probabilities of QN states. The paper also presents an iterative algorithm for solving this problem. At the conceptual level, the presented models can be used to obtain reliability characteristics of integrated automated control systems (IACS) in the electric power industry
{"title":"Mathematical Models for Determining the Reliability Characteristics of Distributed Information Processing Systems in the Electric Power Industry","authors":"A. Scoba, V. Mikhaylov, A. Panfilov","doi":"10.1109/RusAutoCon49822.2020.9208193","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208193","url":null,"abstract":"In this paper, using the exponential Queuing networks (QN) apparatus, the problem of finding the maximum fault tolerance distributed information processing systems (IPS) implemented on the basis of a two-level and three-level client-server architecture is formulated and solved. The method of finding the average response time for all user requests is presented. It takes into account the impact of fault tolerance of individual servers of such a system. The problem determining the fault tolerance indicators of distributed IPS was reduced to the problem determining the stationary probabilities of QN states. The paper also presents an iterative algorithm for solving this problem. At the conceptual level, the presented models can be used to obtain reliability characteristics of integrated automated control systems (IACS) in the electric power industry","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124951191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208157
N. Smirnov, Egor I. Rybin
This paper deals with the task of scrap metal images classification. The authors proposed the method for automation of the cropping scrap metal images from convex quadrangle process and applied this method on railway carriages photographs. The brief description of convolutional neural networks (CNN) and machine learning methods used during the research is given in the paper. The paper presents the results of using various CNN and machine learning methods in the task of classifying images of scrap metal. The algorithm of improving image classification results is proposed. The results of the calculation showed high classification accuracy and allowed to choose the best classifier.
{"title":"Machine Learning Methods for Solving Scrap Metal Classification Task","authors":"N. Smirnov, Egor I. Rybin","doi":"10.1109/RusAutoCon49822.2020.9208157","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208157","url":null,"abstract":"This paper deals with the task of scrap metal images classification. The authors proposed the method for automation of the cropping scrap metal images from convex quadrangle process and applied this method on railway carriages photographs. The brief description of convolutional neural networks (CNN) and machine learning methods used during the research is given in the paper. The paper presents the results of using various CNN and machine learning methods in the task of classifying images of scrap metal. The algorithm of improving image classification results is proposed. The results of the calculation showed high classification accuracy and allowed to choose the best classifier.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117008538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208211
V. V. Podoltsev, I. Azhmuhamedov
An analysis of the results obtained [1] shows that the Ward method ("set-off method" (SOM) method) gives the worst characteristics by the average search time with an increase in the length of the processed segment of the pseudo-random sequence (PRS) in comparison with the majority-based method decoding. If N = 2k = 20, the method based on majority decoding yields more than double the gain. The results show that the choice of the length of the processed segment of the PRS N with an increase in destructive errors affects the average search time. The well-known works [2] do not study the phasing characteristics in short segments of the bandwidth, although it is obvious that with an increase in destructive errors one cannot simply increase N, since there are cases when the synchronization system will give worse characteristics compared to synchronization with respect to Ward’s method, or not provide a minimum of average search time for memory bandwidth Accordingly, a method based on majority decoding should, at a certain probability of error, synchronize the PRS over a certain definite segment of the PRS of length N. Therefore, it is necessary to modify the search method based on the majority processing of synchronizing information in order to increase its efficiency and optimize the synchronization mechanism.
{"title":"Modification of Majority Processing of Synchronizing Information in MAC Multiple Access Protocols","authors":"V. V. Podoltsev, I. Azhmuhamedov","doi":"10.1109/RusAutoCon49822.2020.9208211","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208211","url":null,"abstract":"An analysis of the results obtained [1] shows that the Ward method (\"set-off method\" (SOM) method) gives the worst characteristics by the average search time with an increase in the length of the processed segment of the pseudo-random sequence (PRS) in comparison with the majority-based method decoding. If N = 2k = 20, the method based on majority decoding yields more than double the gain. The results show that the choice of the length of the processed segment of the PRS N with an increase in destructive errors affects the average search time. The well-known works [2] do not study the phasing characteristics in short segments of the bandwidth, although it is obvious that with an increase in destructive errors one cannot simply increase N, since there are cases when the synchronization system will give worse characteristics compared to synchronization with respect to Ward’s method, or not provide a minimum of average search time for memory bandwidth Accordingly, a method based on majority decoding should, at a certain probability of error, synchronize the PRS over a certain definite segment of the PRS of length N. Therefore, it is necessary to modify the search method based on the majority processing of synchronizing information in order to increase its efficiency and optimize the synchronization mechanism.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130537026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208031
A. Korzhakov, Svetlana A. Korzhakova, Valery E. Korzhakov
This article presents the results of modeling an automatic control system for heat supply of a greenhouse complex with a geothermal heat source, conducted in order to study the possibility of geothermal heat supply automation. For the implementation of modeling, a mathematical application package Scilab (version 6.0.1) is used. Reagentless treatment of geothermal water in the heat supply system with an acoustic-magnetic device can significantly reduce the intensity of scale formation in the heat exchanger and heat exchange equipment. It provides conditions for the automation of geothermal heat supply of greenhouses with a surface heat exchanger. Based on the results of the simulation, the optimal mode of operation of the heat exchanger automation system was developed. Using an automation system allow with greater accuracy and reliability to maintain the required temperature regime in the greenhouse, reduce the frequency of system shutdown for unplanned cleaning of the heat exchanger, reduce the complexity of manual operations of heat exchange equipment maintenance (removal of sludge, scale) and reduce the economic costs of transportation and heat consumption.
{"title":"Research of the Possibility of Automation of Geothermal Heat Supply of Greenhouses with a Surface Heat Exchanger","authors":"A. Korzhakov, Svetlana A. Korzhakova, Valery E. Korzhakov","doi":"10.1109/RusAutoCon49822.2020.9208031","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208031","url":null,"abstract":"This article presents the results of modeling an automatic control system for heat supply of a greenhouse complex with a geothermal heat source, conducted in order to study the possibility of geothermal heat supply automation. For the implementation of modeling, a mathematical application package Scilab (version 6.0.1) is used. Reagentless treatment of geothermal water in the heat supply system with an acoustic-magnetic device can significantly reduce the intensity of scale formation in the heat exchanger and heat exchange equipment. It provides conditions for the automation of geothermal heat supply of greenhouses with a surface heat exchanger. Based on the results of the simulation, the optimal mode of operation of the heat exchanger automation system was developed. Using an automation system allow with greater accuracy and reliability to maintain the required temperature regime in the greenhouse, reduce the frequency of system shutdown for unplanned cleaning of the heat exchanger, reduce the complexity of manual operations of heat exchange equipment maintenance (removal of sludge, scale) and reduce the economic costs of transportation and heat consumption.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126999018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208064
A. Chernenkii
The article describes the development of a model of a Multifunctional Mobile Complex designed for extracting various types of an ore from the lunar soil and processing them into a fuel for space ships. In addition, modern technologies allow the processing of lunar soil into refined materials that can be used for 3D printing of modules for space bases or ships. The basis for modeling of the mobile Complex is the Kerbal Space Program – an engineering game aimed at familiarizing with the complexities of space exploration. The first version of the program was developed in 2010 by the Mexican company "Squad", the lead developer – Felipe Falanghe. In 2019, the project has been supported by the American developer of the GTA series of games. Now the program goes beyond using only by interested users. In the new version of the educational paradigm, it is proposed to include elements of computer games and simulations in the content of training courses. The application of the Kerbal Space Program in the educational process in technical disciplines solves the problems of attracting potential specialists to the space industry, as well as the development of "space" literacy, especially for young students. The development described in the article is brought to detailing at the level of individual modules and their components, a program for deploying of the Complex on the surface of the Moon is proposed, and calculations are performed that demonstrate the realism of the proposed idea.
{"title":"Modeling of Multifunctional Mobile Extracting-Processing Complex","authors":"A. Chernenkii","doi":"10.1109/RusAutoCon49822.2020.9208064","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208064","url":null,"abstract":"The article describes the development of a model of a Multifunctional Mobile Complex designed for extracting various types of an ore from the lunar soil and processing them into a fuel for space ships. In addition, modern technologies allow the processing of lunar soil into refined materials that can be used for 3D printing of modules for space bases or ships. The basis for modeling of the mobile Complex is the Kerbal Space Program – an engineering game aimed at familiarizing with the complexities of space exploration. The first version of the program was developed in 2010 by the Mexican company \"Squad\", the lead developer – Felipe Falanghe. In 2019, the project has been supported by the American developer of the GTA series of games. Now the program goes beyond using only by interested users. In the new version of the educational paradigm, it is proposed to include elements of computer games and simulations in the content of training courses. The application of the Kerbal Space Program in the educational process in technical disciplines solves the problems of attracting potential specialists to the space industry, as well as the development of \"space\" literacy, especially for young students. The development described in the article is brought to detailing at the level of individual modules and their components, a program for deploying of the Complex on the surface of the Moon is proposed, and calculations are performed that demonstrate the realism of the proposed idea.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129095246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208141
E. L. Eremin, L. V. Nikiforova, E. A. Shelenok
In the present paper authors discusses the problem of construct the discrete algorithms of nonlinear-periodic control system for one class of non-affine continuous plants which working in the priory uncertainty conditions. As methods to solve the posed in paper problem hyperstability criterion, Ldissipativity conditions and continuous models method are used. With the help of numerical experiments it is depicted the operating quality of the proposed hybrid nonlinear-periodic control system. The obtained results may be useful for construction the automated control system for dynamic plants which mathematical model contains non-linearity with respect to input signal. The paper results may be useful for construct the control systems for the class of non-affine dynamic plants with mathematical models are equivalent discussed plant’s model.
{"title":"Discrete Continuous Nonlinear Control System for Non-Affine Periodic Action Plant","authors":"E. L. Eremin, L. V. Nikiforova, E. A. Shelenok","doi":"10.1109/RusAutoCon49822.2020.9208141","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208141","url":null,"abstract":"In the present paper authors discusses the problem of construct the discrete algorithms of nonlinear-periodic control system for one class of non-affine continuous plants which working in the priory uncertainty conditions. As methods to solve the posed in paper problem hyperstability criterion, Ldissipativity conditions and continuous models method are used. With the help of numerical experiments it is depicted the operating quality of the proposed hybrid nonlinear-periodic control system. The obtained results may be useful for construction the automated control system for dynamic plants which mathematical model contains non-linearity with respect to input signal. The paper results may be useful for construct the control systems for the class of non-affine dynamic plants with mathematical models are equivalent discussed plant’s model.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123963665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208130
V. Domanov, A. V. Domanov, I. A. Meshchaninov
The steering of the car is considered taking into account the driver, as a link in the tracking system. The requirements for an electric amplifier and the model of a human operator are analyzed. A structural diagram of the steering process is drawn up taking into account the features of the kinematic chain of the car. It is shown that many characteristics of the system depend on the speed of movement. This requires the use a corrective link to ensure stability in driving. The influence random component of the resistance moment on the system is analyzed and the optimal setting for the minimum dispersion of the output signal is determined. The sensitivity to variations in the parameters of the system under study was evaluated.
{"title":"Electric Power Steering (EPS) Operation Analysis","authors":"V. Domanov, A. V. Domanov, I. A. Meshchaninov","doi":"10.1109/RusAutoCon49822.2020.9208130","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208130","url":null,"abstract":"The steering of the car is considered taking into account the driver, as a link in the tracking system. The requirements for an electric amplifier and the model of a human operator are analyzed. A structural diagram of the steering process is drawn up taking into account the features of the kinematic chain of the car. It is shown that many characteristics of the system depend on the speed of movement. This requires the use a corrective link to ensure stability in driving. The influence random component of the resistance moment on the system is analyzed and the optimal setting for the minimum dispersion of the output signal is determined. The sensitivity to variations in the parameters of the system under study was evaluated.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126375045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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