{"title":"Neuro-Fuzzy Modeling of Diesel Fuel Consumption Under Dynamic Loads","authors":"E. Zubkov","doi":"10.1109/RusAutoCon49822.2020.9208226","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208226","url":null,"abstract":"The article discusses the construction of a neuro-fuzzy model of diesel fuel consumption in various modes of its operation. The structure of a neuro-fuzzy network trained according to the results of field tests is presented. To train the neural network, a hybrid method was used in the form of an error back propagation algorithm and a least squares method. In the process of training, the parameters of the neural-fuzzy network were selected that provide the maximum error of an individual measurement of 3.5375% with an average error of the model of 0.4429%. The neuro-fuzzy diesel model makes it possible to simulate various modes of its operation in accordance with the test cycle ETC EK UN No. 49. Using well-known optimization methods from the obtained model of fuel consumption under unsteady loads, it is possible to determine diesel parameters close to optimal when calibrating the electronic control unit.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"40 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":"132823268","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":"Determining the Hazard Quotient of Destructive Actions of Automated Process Control Systems Information Security Violator","authors":"D. Chernov, A. Sychugov","doi":"10.1109/RusAutoCon49822.2020.9208036","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208036","url":null,"abstract":"The purpose of the work is a formalized description of the method determining numerical expression of the danger from actions potentially implemented by an information security violator. The implementation of such actions may lead to a disruption of the ordered functioning of multilevel distributed automated process control systems, which indicates the importance of developing new adequate solutions for predicting attacks consequences. The analysis of the largest destructive effects on information security systems of critical objects is carried out. The most common methods of obtaining the value of the hazard quotient of information security violators’ destructive actions are considered. Based on the known methods for determining the possible damage from attacks implemented by a potential information security violator, a new, previously undetected in open sources method for determining the hazard quotient of destructive actions of an information security violator has been proposed. In order to carry out experimental calculations by the proposed method, the authors developed the required software. The calculations results are presented and indicate the possibility of using the proposed method for modeling threats and information security violators when designing an information security system for automated process control systems.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"170 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":"114337785","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":"Improving Accuracy of the Arrival Time Determining of a Flowmeter Acoustic Signals by the Correlation Method","authors":"S. Gerasimov, I. Zhelbakov","doi":"10.1109/RusAutoCon49822.2020.9208075","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208075","url":null,"abstract":"The paper notes some important aspects of the digital signal processing methods applications to reduce the achieved measurement error of the acoustic signals propagation time. As an example, it's proposed the consideration of the correlation method processing of the received probing signals of an ultrasonic time-of-flight liquid flowmeter. The indicated method is based on the calculation of discretized cross-correlation functions. This article is the actual continuation of the previous publication within the topic under discussion. It was shown, the main features that should be taken into account when choosing discretized signal values sequences for the correct calculation of correlation functions, were discussed. In article speaks of individual limitations that are imposed on the analyzed signals in order to obtain adequate results of calculating discretized correlation functions. Earlier, a special algorithm was developed to reduce the possible error in determining the required time intervals using a special \"window\", which selects individual signals samples, in fact, truncates the signals. The formulated theoretical arguments were veryfied and supplemented by mathematical calculations and modeling in the MatLab software package.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"90 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":"116317270","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":"Development of a Water-Submersible Hydrogenerator as a Renewable Source of Electricity for Small Rivers","authors":"Dilshod Aminov, B. Kosimov, O. Sultonov","doi":"10.1109/RusAutoCon49822.2020.9208214","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208214","url":null,"abstract":"The problem of using hydroelectric power of small rivers is considered. It is shown that it can be resolved only in the design of electric generators for locations and operating conditions. The task of developing such a project system is set. The problem of choosing a turbine and the type of electric machine for a hydrogenerator is outlined. Among a large number of types of generators, it is proposed to use a generator of the original design as a hydrogenerator of low and medium power. The electric machine in question is a submersible type generator with combined excitation. The resulting magnetic field of the generator is formed from two sources: permanent magnets and the field winding. At the same time, the hydrogenerator has a small size, thanks to the use of powerful permanent magnets, and the coil of the excitation for regulating the magnetic flow. At the final stage, a decision was made to develop a three-dimensional model of the generator in the Solid Works program. In order to make sure that the design system works correctly, it was decided to make a scale model using 3D printer technology.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"18 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":"114469012","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 Resistance Contact Connections of the Low Voltage Switching Equipment and the Network Equivalent Resistance","authors":"E. Gracheva, A. Gorlov, A. Alimova","doi":"10.1109/RusAutoCon49822.2020.9208208","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208208","url":null,"abstract":"Low voltage apparatus engineering has been developing quite intensively lately. Switching devices are constantly being improved and developed, new directions appear, based on the use of non-traditional principles of operation. And this leads to stringent requirements for stability and the level of resistance of contact joints. The paper presents a study of the resistances of the contact connections of switching equipment based on statistical information. Low voltage switching devices (magnetic starters, circuit breakers, contactors, etc.) are mass products, which have rather high requirements for their technical characteristics. One of these characteristics is the resistance of the contact connections of the devices. Due to the instability of the resistance of the contacts of electrical devices sensitive to the effects of many external factors, the pattern of its distribution is also unstable.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"20 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":"132055234","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":"Simulation of Gas Turbine Power Plants with Voltage and Speed Prognostic Regulators","authors":"Yu. N. Bulatov, A. Kryukov, Nguyen van Huan","doi":"10.1109/RusAutoCon49822.2020.9208114","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208114","url":null,"abstract":"The article provides results of computer-based research dedicated to dynamic models development of low-power two-shaft gas turbines equipped with automatic voltage and speed regulators having prognostic links. When gas turbine plants (GTP) are used in isolated power supply systems, frequency and voltage deviations can be insignificant which adversely affects power quality indices. Regulators adjustment of GTP being commissioned requires complex design calculations. Using prognostic algorithms allowing the classical regulators perfection with minimal costs contributes to their efficient adjustment. The prognostic algorithms can be referred to ones enabling the system automatic control based on one parameter – forecast time. This is especially urgent when it is necessary to commission a GTP within tight deadlines. The models represented in the article, were implemented using Simulink package of MATLAB system. Therefore, prognostic algorithms influence on voltage and rotational speed control quality of GTP generator was studied in the modes of load connection and shedding. The computer modeling results allowed to make the following conclusions: the use of prognostic regulators when connecting an additional powerful load to GTP, allows to remove oscillability, reduce voltage dips, and transient time by 2.5 s; an abrupt load shedding allows to completely remove oscillability, reduce overshoot of rotor rotational speed and overvoltage on generator terminals due to the application of prognostic algorithms, and to significantly reduce transient time duration for speed in comparison with classical regulators; the use of prognostic algorithms allows to obtain acceptable quality factors for transients without using complicated procedures of regulators adjustment.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"9 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":"133616784","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":"A Neural Network-Based Control System Using PID Controller To Control the Deaerator","authors":"E. Muravyova, A. Yurasov","doi":"10.1109/RusAutoCon49822.2020.9208184","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208184","url":null,"abstract":"At a steam power station, the pressure and water level in a deaerator are interconnected. Using a common control method based on a traditional PID controller, it is quite difficult to obtain a high degree of pressure and level control in the deaerator. This article proposes a control method based on neural networks that simulate a single PID controller loop. The PID controller has simple and necessary characteristics, as well as high reliability and stability in operation. The neural network, in turn, has the ability to self-learn and to control non-linear processes. Using the proposed method, you can take advantage of both the PID controller and the neural network at the same time. This will significantly reduce overshoot and reduce the required time for transient processes to quickly achieve balance in the control system. Also, the neural network will provide greater stability and a higher response rate when controlling pressure and water level in the deaerator.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"55 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":"130540329","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":"Machine Learning Model of an Intelligent Decision Support System in the Information Security Sphere","authors":"F. O. Fedin, O. V. Trubienko, Sergey V. Chiskidov","doi":"10.1109/RusAutoCon49822.2020.9208122","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208122","url":null,"abstract":"The article defines an approach to solving the task of network traffic analysis in higher education establishments (HEE) with the aim of detecting information security threats (IST) to systems, services, and networks. The approach implies using a machine learning model which utilizes neural network technology to classify running network activity as normal or abnormal, the two predetermined classes. In order to determine initial data for teaching and testing the machine learning model a specific approach was designed. The approach implies determination of a local network element, installation of necessary software, network analysis under the circumstances of normal network activity, network analysis under the circumstances of abnormal network activity, data processing and formation of a representative teaching selection.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"40 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":"125038069","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":"Diagnostics of Automatic Control Systems Using Trial Deviations of Model Parameters and Binary Diagnostic Signs","authors":"S. V. Shalobanov, S. S. Shalobanov","doi":"10.1109/RusAutoCon49822.2020.9208057","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208057","url":null,"abstract":"The article is devoted to the problem of studying the defect search way in continuous dynamical system with depth to dynamical block based on defect libraries using binary defect search features. This way, improves the application of the method, relevant when diagnosing difficult objects. The use of binary diagnostic signs can reduce the calculating costs of determination diagnostic signs. The use of defect libraries allow to remove computing, in terms of application of the calculation for signal transmission signs. The disadvantage of the previous methods is that they involve the use of complex diagnostic signs of a defect in the system structural block, as well as the calculation of the signs for signal transmissions from the outputs of the blocks to control points","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"13 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":"130101191","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":"The Constructing of Backup Protections of Overhead Lines Taking into Account the Effect of the Magnetizing Current of the Power Transformers","authors":"V. Nagay, V. Nagay, I. Nagay","doi":"10.1109/RusAutoCon49822.2020.9208190","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208190","url":null,"abstract":"The authors refined the values of phase currents and their harmonic components to calculate the backup protection parameters of overhead lines with branch transformer substations in the regime of turning them on at idle. Despite the significant attenuation of the magnetizing current for the operation moment of the indicated protections, which usually operate with significant time delays, it should be noted that these values are comparable with the operation currents selected on the requirement basis of high sensitivity to fault behind low-power transformers. Analytical dependences of currents on the initial state of transformers and parameters of the electric network are obtained. This allows us to reasonably calculate backup protection settings of overhead lines with branch and intermediate substations, which often allows us to provide the required sensitivity for short three-phase faults on the low voltage side of low-power transformers.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"3 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":"130120671","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}