{"title":"Determination of Maximum Deflection Angles of a HAWT Yawing System Weather Vane Based on the Solution of the Equations of Moments","authors":"Solomin Evgeny, Ryavkin Gleb, Sirotkin Evgeny","doi":"10.1109/ICIEAM54945.2022.9787173","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787173","url":null,"abstract":"One of the main tasks in the field of renewable energy is to improve the accuracy of positioning the wind wheel of horizontal axial wind turbine (HAWT) in the direction of wind. Orientation system receives information about direction of the wind from a weather vane. Vortices from the blades passing over the nacelle make inaccuracy into the operation of this device. In this paper, an important issue for solving the problem will be considered, namely, determination of maximum deflection angles of HAWT vane. Geometry for the study is two weather vane models used on wind turbines. The initial external loads, the coefficients of normal force, and force of the longitudinal resistance of weather vane were determined using mathematical modeling. The equations of torques for rotational motion of weather vane are solved. The obtained solutions for two methods were compared. Conclusions about the results obtained were made.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130411622","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":"Investigation of Functioning of a Photoelectric Installation under Forest Fires in the Northern Part of the Russian Far East","authors":"Nikolay Mestnikov, A. Alzakkar, P. Vasilyev","doi":"10.1109/ICIEAM54945.2022.9787126","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787126","url":null,"abstract":"This paper is devoted to the study of the working characteristics of solar photovoltaic (PV) plants in conditions of high smoke content due to forest fires in the central part of Yakutia. It should be noted that experimental studies were carried out at the beginning of July 2021 in the village of Boroguntsi (central part of Yakutia) with geographical coordinates 62.67N, 131.13E. The purpose of the article is to study the features of the operation of a photovoltaic solar plant in conditions of increased smoke pollution during forest fires in Yakutia. In the research, a technology was developed for conducting experimental work by using power, measuring and recording equipment to determine the necessary electrical power parameters. The result of the study is the recording of a decrease in the generation power of the plant from 34.88% to 74.42%, depending on the type of smoke pollution in the environment. It should be noted that the results of the research can be used to study the benefits of solar energy facilities in areas where the possibility of seasonal forest fires is high.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126296567","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":"Electric Power Quality Optimization Using Genetic Algorithm","authors":"A. Toropov, G. Chistyakov, E. Platonova","doi":"10.1109/ICIEAM54945.2022.9787243","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787243","url":null,"abstract":"Electrical power networks experience a growing proportion of electrical loads that degrade the electric power quality. Such loads occur due to the operation of electrical power equipment based on silicon rectifiers, arc steel furnaces, electrolysis plants, and blooming mills. At the same time, the number of high-tech consumers sensitive to electric power quality degradation is increasing: computers, computer network hardware, telecommunications equipment, medical, banking, and office equipment. This study considers the application of a genetic algorithm to optimize electric power quality. The selected genetic algorithm uses a fixed number of mating pairs per generation instead of the crossover rate. Each mating pair produces two offspring. Parental pairs were selected by the elitist and exclusion selection methods. The objective function of active power losses considers the distribution of compensating power filters in the electrical power network, permissible voltage levels, and active power losses due to non-sinusoidal voltage. A program has been developed that selects the power of compensating power filters in the electrical power network nodes, as well as their installation locations, where active power losses will be minimal.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126469157","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":"Analysis of the Heat State of the Hydrogenerator of the Combined Excitation, Intended for the Development of the Energy of Small and Medium Rivers","authors":"Dilshod Aminov, S. Gandzha, A. Fedorov","doi":"10.1109/ICIEAM54945.2022.9787175","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787175","url":null,"abstract":"The development of energy in small and medium rivers is an urgent task, since the total energy potential of this resource is many times higher than this indicator for large rivers. The article considers a hydrogenerator of a unique design. It is completely submerged in water, which allows not to violate the ecology and aesthetics of the environment. To ensure waterproofing, the generator is filled with oil. It is based on an electric machine of combined excitation, for which there is a patent of the Russian Federation. For the design of hydrogenerators of this type, a design system has been developed, which includes the synthesis of optimal geometry and electromagnetic and thermal analysis of the calculated design. The article presents the final stage of the analysis - this is the assessment of the steady state thermal state of the generator at rated load. Thermal calculations were carried out in two stages. At the first stage, the assessment was carried out on the basis of the method of thermal equivalent circuits, at the second stage, the assessment was carried out using the finite element method. The article presents the results of the analysis for a hydrogenerator 3 kW 350 rpm","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121601542","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":"Embedding Digital Information Into the Audio Stream of a Video Conference for Robot Remote Control","authors":"Anatoly Lerner, A. Romanov","doi":"10.1109/ICIEAM54945.2022.9787223","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787223","url":null,"abstract":"Sometimes a need arises to develop projects that require remote control capabilities, coupled with live audio and video support. In most cases, such projects require the development of sophisticated software. This software must handle audio transmission, video transmission, and control transmission. Additionally, a server may be necessary to relay the information over the internet. The method proposed in this paper takes a new approach and makes use of well-established web conferencing services such as Skype and Zoom. This method offers a shorter development time and requires readily available tools. In this paper, we will describe this method in detail, analyze advantages and disadvantages, present a functioning prototype, and provide testbench results.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122781486","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":"Reduced-Order State Observers Design for Single-Channel Electromechanical Control Plant under Conditions of Parametric Uncertainty","authors":"D. Krasnov, A. Utkin","doi":"10.1109/ICIEAM54945.2022.9787131","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787131","url":null,"abstract":"The observation problem for a single-channel electromechanical control plant operating under conditions of significant parametric uncertainty is considered. Decomposition procedures for the synthesis of reduced-order state observers with piecewise linear control actions have been developed. The proposed approach provides for a given time the specified estimation accuracy of the unmeasured state variables of the mechanical subsystem according to the information received from the sensors of the state variables of the electric actuator. The proposed approach is fundamentally different from traditional methods, where the main equations for constructing a reduced-order observer are equations describing the dynamics of unmeasured variables. In this paper, the observer is constructed as a copy of the differential equations of the measured variables of the electrical subsystem with certain parameters. In these equations, unmeasured state variables are treated as undefined inputs, for which the evaluative signals are the control actions of the observer, which are limited in magnitude. Due to such an organization of the observation subsystem, the problem of identifying uncertain mass-inertial parameters of the mechanical subsystem does not require a solution. This greatly simplifies the adjustment of the observer, eliminates bursts, and ensures the robustness of the estimated signals.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123097366","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":"On Adaptation of Third Kind Boundary Conditions for Grid Models of Nonstationary Heat Exchange","authors":"P. Zhukov, A. Glushchenko, A. Fomin","doi":"10.1109/ICIEAM54945.2022.9787106","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787106","url":null,"abstract":"The non-stationary heat exchange (heating) process is a typical kind of technological operation in metallurgy. The most common technological units for such operation are continuous heating furnaces, in which steel billets are heated in the course of their movement through the furnace. The billets have different inner chemical structures and physical characteristics, so different values of heating parameters are needed (heating time, setpoint temperature, etc.). Usually, to find such optimal values, a model of transient heat conduction is used. The general problem of such models is the necessity to adapt them to the thermophysical parameters of each certain steel grade being heated inside the furnace. Usually adaptation processes is to find the dependence between the final billet temperature and the steel density, thermal capacity, and thermal conductivity. But, in addition to these independent variables, considering the non-stationarity of the heating processes, not only should the inner structure of the billets be taken into account, but also the heating environment parameters too. Adaptation to them is the scope of this research and closely related to the third kind boundary condition of nonstationary heat exchange. Generally, it means to find the value of the heat transfer coefficient, which is also non-stationary and depends on the temperatures of the heated material and heating medium. The result of the study is an approach based on the Nusselt number and the criterion equation, which allows to reduce the average error of the billets temperature prediction by 9.7 degrees Celsius.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130832787","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":"Processing Method for Complex Characteristics of Electromagnetic Devices","authors":"S. Gladkikh, A. Lankin, I. Lankin","doi":"10.1109/ICIEAM54945.2022.9787123","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787123","url":null,"abstract":"This article discusses the development of a method for processing the integral characteristics of electromagnetic devices, which are complex functions. In cases where a complex function has a dependence on a nonmonotonic function, its hyste-resis character is manifested. Such functions are difficult and sometimes impossible, to be processed by numerical dimensional-ity reduction methods (for example, the method of principal components, Wavelet transform). The developed method makes it possible to represent integral functions in an “expanded” form, i.e. get rid of back loops due to the monotonic representation of the nested function. The performed analysis of the dynamic characteristics of electromagnets shows that such processing does not result in the loss of important information, and the charac-teristics can later be transferred to the space of principal components. In this space, characteristics that have already been pro-cessed form a structured dependence and can be separated into clusters.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131391818","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":"Dynamic Model of DC Commutator Motor Excited by Permanent Magnets, with Due Regard for the Influence of Real Factors","authors":"A. Shestakov","doi":"10.1109/ICIEAM54945.2022.9787134","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787134","url":null,"abstract":"DC commutator motors excited by permanent magnets, are still widely used in controlled electric drives of various systems due to their high energy and mass-dimensional characteristics. In this regard, the problem of optimal design of these motors remains relevant. One way to optimize the mass-dimensional, energy and dynamic characteristics of DC commutator motors excited by permanent magnets is to simulate transients. To solve this problem, this paper proposes a dynamic model of a DC motor exited by permanent magnets, based on a system of differential equations of a DC machine. In this system, to account for the effect of the switching armature reaction on the resulting airgap flux, as well as to account for the effect of saturation on the inductance of the armature along the cross axis, it is proposed to use a nonlinear magnetization curve of a DC machine approximated by a hyperbolic function. The results of the modelling established the ability of the model proposed and the possibility of its application to optimize the dynamic, energy and mass-dimensional parameters of DC motors exited by permanent magnets.","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131159996","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":"Identifying and Tuning Mechatronic Systems with State Controllers, Using an Artificial Neural Network","authors":"A. Anisimov, M. E. Sorokovnin, S. Tararykin","doi":"10.1109/ICIEAM54945.2022.9787198","DOIUrl":"https://doi.org/10.1109/ICIEAM54945.2022.9787198","url":null,"abstract":"This study examines the problem of automatically identifying and tuning control systems for parametrically undefined mechatronic objects with a state regulator. An automatic tuning method is proposed, based on identifying the parameters of a controlled object vector-matrix model, using an artificial neural network, with subsequent synthesis of the controller by the modal control method. An algorithm has been developed to optimize the placement of sensors for controlled object state coordinates, using the mathematical apparatus of observability gramians, which ensures specified identification accuracy in conditions subject to noise in the measurement channels. The proposed intelligent method ensures identification of controlled object parameters and calculation of the state controller according to the results of a single experiment, thus reducing the duration of setting in real time","PeriodicalId":128083,"journal":{"name":"2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127542665","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}