{"title":"Mathematical modeling of oscillatory regimes in oregonator","authors":"L. Prokudina, S. Turlakova","doi":"10.1109/URALCON.2017.8120696","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120696","url":null,"abstract":"A five-stage Field-Noyes-Köros model of the Belousov-Zhabotinsky reaction and the corresponding mathematical model of the oregonator is presented. A system of equations for the oregonator steady states is derived. The oregonator steady states are calculated for different values of the stoichiometric coefficient. The steady state was investigated according to the experimental data of the model's authors. The solutions obtained correspond to the physical meaning of the model. Modeling of the chemically active system oscillatory regime is performed. Oscillation regimes exist for different values of the stoichiometric coefficient. The time of the system's output to the oscillatory regime is determined. The amplitudes of the oscillations are in agreement with the experimental data of the model authors.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979192","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}
{"title":"Design and metrological assurance of tracking amplitude resolver-to-digital converter based on contactless magnetic sensor","authors":"E. V. Yurasova","doi":"10.1109/URALCON.2017.8120721","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120721","url":null,"abstract":"The paper deals with the structural synthesis of a tracking mechatronic converter on the basis of up-to-date element base. The urgency of the research is substantiated by the analytical review of modern information technologies for controlling the mechatronic systems and converters. The electromechanical subsystem of the mechatronic system contains a contactless permanent-magnet machine as an energy converter. Being a part of the information subsystem, a sine-cosine magnetic-field sensor is used as a measuring transducer for the common dataware of working mechanism displacement control. The total error of the mechatronic converter measurement channel has been calculated. It has been proven that modern discoveries in the field of sinus-cosine magnetic encoders generating make it possible to increase the efficiency and precision of gearless electro-mechatronic converters.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123165103","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}
P. Yurovskikh, V. Shiryaev, D. Khadanovich, E. Gusev
{"title":"Data measurement smoothing in the guaranteed estimation algorithm for dynamical systems control","authors":"P. Yurovskikh, V. Shiryaev, D. Khadanovich, E. Gusev","doi":"10.1109/URALCON.2017.8120700","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120700","url":null,"abstract":"The present article delves into the problems of linear dynamical system state estimation and optimal control under uncertainty. Two approaches to filtering, Kalman filtering and the guaranteed estimation are compared. It has been shown that comparison requires correspondence between stochastic and deterministic mathematical models describing uncertain quantities. The optimal control solution is found. It ensures the result with the worst possible value of the cost function over all uncertain factors. A numerical example is given for the linear second order system. For the case of a time-varying dynamical system it has been demonstrated that the point estimate obtained by the guaranteed approach can have dynamics that is quite different from the dynamical behavior of the observed system. The smoothing algorithm for the point estimate dynamics is proposed.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683174","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}
{"title":"Parallelization of numerical algorithm for optimum dynamic measurement problem solution","authors":"A. Keller, A. Ebel","doi":"10.1109/URALCON.2017.8120738","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120738","url":null,"abstract":"One of the important things in the dynamic measurements theory is the task of dynamically distorted signal restoration. The existing algorithms demand a bigger amount of machine time. In the project the numerical algorithm of the optimum dynamic measurement problem solution with the use of parallelization and linear splines is presented. A distinctive feature of the algorithm is that one was able to use the parallelization procedure by means of consideration of the optimum dynamic measurement problem as a mixed optimum control problem. Previously, for the solution of the optimum dynamic measurement the problems of rigid and optimum control were used. We emphasize that the functionality of the quality of the mixed optimum dynamic measurement problem preserves the basic principle of dynamically distorted signal restoration — achievement of proximity between virtual and real observations. The algorithm is adapted for effective usage on the computing system with parallel architecture or the multiprocessor computing system. Parallelization as well as the use of linear splines at one of the algorithm stages will allow to reduce the amount of machine time necessary for calculations.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121683386","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}
{"title":"Method for internal heat source identification in a rod based on indirect temperature measurements","authors":"N. Yaparova, A. D. Drozin","doi":"10.1109/URALCON.2017.8120693","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120693","url":null,"abstract":"The article is devoted to the measurement challenge associated with identification of the unknown time-dependent internal heat source when measuring is possible only at the one end of a rod. The required source function in this problem must be determined from the results of indirect temperature measurements. To solve this problem, we propose the approach that allows us to describe the explicit dependence of the unknown internal heat source on the initial data via the Volterra equation of the first kind. The method for the term source function calculation based on the regularization technique is also developed. The efficiency of the proposed approach and accuracy of the numerical solutions were evaluated by means of a computational experiment.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121737960","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}
{"title":"Research of recognition algorithm for sheet metal marking","authors":"I. S. Nikitin, Yu. A. Usachev","doi":"10.1109/URALCON.2017.8120699","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120699","url":null,"abstract":"The problem of automation of the product traceability processes within the technological process has now become of major importance. The most common traceability method is based on optical identification implemented by various markings application to the product surface. Such markings can contain a wide variety of information that allows one to determine the parameters of the raw materials, the manufacturer, the technological operations already performed and much more. In this case, the degree of readability of such markings can be used by a human operator as a recognition criterion. The paper presents an algorithm for optical character recognition to determine the marking of steel sheets used in the pipe and tube rolling industry. This algorithm was used for the development of the system of technical vision (STV) and implemented in the C# programming language with the use of specialized Emgu CV libraries. The main difficulties encountered in the recognition of marking elements as well as the methods for their elimination are considered in the paper.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115847758","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}
{"title":"Computer modeling and measurement of devastating impact characteristics of snow avalanches","authors":"A. Solovyev, A. Kalach, D. B. Desyatov","doi":"10.1109/URALCON.2017.8120705","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120705","url":null,"abstract":"The paper provides the mathematical model describing the movement of different kinds of avalanche snow mass and its interaction with obstacles based on the modified method of particle dynamics. Further, the authors introduce their algorithm to calculate avalanche impact on buildings and structures; this algorithm underlies a computer program that allows you to set the basic parameters of a building, snowpack, terrain slope and calculate the indicators of displacement and overturning of the building and magnitude of the energy impact. The article confirms the adequacy of the model by the example of avalanches in Longyearbyen. It is shown that the average error in determination of 10 indicators of the displacement of buildings makes up 4.3 %. The model allows one not only to reproduce the displacement of homes but also to restore a detailed picture of the mechanical impact of avalanches. Thus, the model can be used to predict the damaging effects of snow avalanches on the infrastructure.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"491 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133889187","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}
{"title":"Inaccurate measurements processing for guaranteed estimation in dynamical system stabilization problem","authors":"I. O. Osipov, P. Yurovskikh, V. Shiryaev","doi":"10.1109/URALCON.2017.8120704","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120704","url":null,"abstract":"The paper describes and compares some approaches to the use of measurement results for control using the classical feedback principle. The application of a linear control law based on the state vector estimates obtained with the use of the Kalman filter and the minimax filter is described. There are methods for control quality improving by means of the preliminary processing of measurements and another approach to the synthesis of the local-optimal control algorithm based on the prediction of the state vector estimation. A comparative analysis of the described control algorithms is carried out using a numerical example.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117207847","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}
{"title":"Strapdown inertial navigation system calibration","authors":"S. Nikolaev, A. Golota","doi":"10.1109/URALCON.2017.8120689","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120689","url":null,"abstract":"The paper aims at improving the accuracy of the calibration of strapdown inertial navigation systems (SINS). The calibration is carried out using a 2-axial motion simulator. A new computational method is investigated for the calibration coefficients of the error models of accelerometers and gyroscopes of the strapdown inertial navigation system based on the errors of the system output signals. The modified navigation algorithms of the 3-channel strapdown inertial navigation system are used. The algorithms of the system orientation and navigation are generated using the kinematic Poisson's equations and the basic equation of the inertial navigation in the quaternion form. Damping links are introduced into the algorithms; they have been built based on the errors in the linear velocity computing and errors of the orientation angles computed as a difference between the system data and the motion simulator data. As a result, the vector and quaternion dependences are obtained to calculate the signals of the accelerometers and gyroscopes; they are used to calculate the instrumental errors and calibration coefficients of the error models. The increased calibration accuracy of the system is achieved by the reduction of the signals' noisiness of the accelerometers and gyroscopes after they have been processed with the modified algorithms and as a result of eliminating the symmetry requirement of the calibration coefficients in the opposite positions of the simulator as well as a result of the instrumental errors consideration for the motion simulator.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114820328","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}
{"title":"Comparison of set-valued dynamical system state estimates","authors":"E. Podivilova, V. Shiryaev, E. Gusev","doi":"10.1109/URALCON.2017.8120687","DOIUrl":"https://doi.org/10.1109/URALCON.2017.8120687","url":null,"abstract":"The article deals with set-valued state estimation for linear dynamical systems. Set-valued estimation consists of a construction of feasible sets, which are guaranteed to contain all state vectors. The known set-valued state estimation algorithms include performing set operations like Minkowski sum and set intersection, those are computationally complex. Feasible set approximation with canonical forms, i.e. ellipsoids, parallelotopes, zonotopes, is used to reduce computational complexity although it causes loss of estimation accuracy. The algorithm of feasible set polyhedral approximation without performing set operations is suggested. The algorithm produces set-valued estimate as a polyhedra of any shape. The algorithm consists of solving a row of linear programming problems and can be easily programmed. The article shows the comparison of set-valued estimates constructed with polyhedral approximation algorithm with ellipsoidal estimates and confidence areas based on Kalman filter estimates.","PeriodicalId":176198,"journal":{"name":"2017 2nd International Ural Conference on Measurements (UralCon)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114978967","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}