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Учредитель – Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Южно-Уральский государственный университет» (национальный исследовательский университет) Редакционная коллегия серии: д.т.н., профессор Шестаков А.Л. (отв. редактор); д.т.н., профессор Казаринов Л.С. (зам. отв. редактора); к.т.н., доцент Плотникова Н.В. (отв. секретарь); д.ф.-м.н., профессор, чл.-кор. РАН Ушаков В.Н.; д.т.н., профессор Войтович Н.И.; д.т.н., профессор Карманов Ю.Т.; д.т.н., профессор Логиновский О.В.; д.т.н., профессор Лысов А.Н.; д.ф.-м.н., профессор Танана В.П.; д.т.н., профессор Тележкин В.Ф.; д.ф.-м.н., профессор Ухоботов В.И.; к.т.н., доцент Кафтанников И.Л. Серия основана в 2001 году. Свидетельство о регистрации ПИ № ФС77-26455 выдано 13 декабря 2006 г. Федеральной службой по надзору за соблюдением законодательства в сфере массовых коммуникаций и охране культурного на- следия. Журнал включен в Реферативный журнал и Базы данных ВИНИТИ. Сведения о журнале ежегодно публикуются в международной справочной системе по периодическим и продолжающимся изданиям «Ulrich’s Periodicals Directory». Решением Президиума Высшей аттестационной комиссии Министерства образования и науки Рос- сийской Федерации от 19 февраля 2010 г. № 6/6 жур- нал включен в «Перечень ведущих рецензируемых научных журналов и изданий, в которых должны быть опубликованы основные научные результаты диссертаций на соискание ученых степеней доктора и кандидата наук». Подписной индекс 29008 в объединенном каталоге «Пресса России». Периодичность выхода – 4 номера в год. Copyright ОАО «ЦКБ «БИБКОМ» & ООО «Aгентство Kнига-Cервис»

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  • .., .., .. - ....................................................................................................................... 4 .., .., .. - ................................... 12 .., .. .......................................................................................................................... 25 .. .................................................................................................... 33 .., .., .., .. -- .................................................. 42 .., .. - .................................................................................................................................... 53 .., .., .. - - ................................... 64 .., .., .., .. - ................................................................................................................................................ 74 .. VisSim .................................................................................................................... 82 .. 3d- ............... 88 .., .. - ... 96

    .., .. .... 104 .., .. ..................... 109 .., .. - ................................................................................................................................. 114 .. HMI ............................................................................................ 118 .. ...................................................................................................................... 122 .. - - .............. 128 .., .. GRID- - .................................................. 131 ............................................................................................................................. 138

    , 2013

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  • CONTENTS

    SHESTAKOV A.L., SVIRIDYUK G.A., HUDYAKOV Yu.V. Dinamic measurement in spaces of noise .......................................................................................................................................... 4 KAZARINOV L.S., BARBASOVA T.A., ZAKHAROVA A.A. Method of predictive control of industrial facilities energy efficiency ............................................................................................... 12 BELAVKIN I.V., KAZARINOV L.S. Optimization of steam boilers at secondary fuels firing ..... 25 SADOV V.B. Parameter estimation of an oil extracting and pump installation control with use of dynamometer cards ...................................................................................................................... 33 VAKHROMEYEV I.E., KAZARINOV L.S., KOLESNIKOVA O.V., SHNAYDER D.A. Signal-oriented macromodel of hydraulic networks .................................................................................... 42 KAZARINOV L.S., BARBASOVA T.A. On-line control of energy flows in heat and gas supply networks in metallurgical enterprise ............................................................................................... 53 PAVLOVSKAYA O.O., KONDAKOV S.V., NOSENKO L.S. Creating of wheel machines ideal tractive characteristic and internal combustion engines economic characteristic by regula-tion of electromechanical transmission ............................................................................................ 64 BUSHUEV O.Y., GRIGORIEV I.I., KOROVCHENKO Y.S., SEMENOV A.S. Simulation of the influence of tensometric pressure transducer diaphragm defects on its frequency response ..... 74 BASALAEV A.A. Distributed simulation modeling of district heat supply system in VisSim ...... 82 KHEYFETS A.L. 3d-model of quadric intersection with common focus points ............................. 88 ASTAKHOVA L.V., KOLOSOV S.V. Method for determination of professional skills level of the air staff air force using the training means ................................................................................. 96

    Brief reports KRYMSKY V.V., VAKHITOV M.G. Antennas non-sinusoidal waves in receive mode ............. 104 LAPIN A.P., DRUZHKOV A.M. Usage of weighted least squares method conversion functions for vortex sonic flowmeters research ............................................................................................... 109 KAFTANNIKOV I.L., RUDNEV V.A. Energy consumption optimization in microcontroller applications ....................................................................................................................................... 114 ARGUTIN A.V. Using of the scaled disparity map for the first iteration of the matching cost HMI calculation process ................................................................................................................... 118 KOLKK A.A. On the type of radio-electronic means recognition algorithms in airborne recon-naissance complexes ......................................................................................................................... 122 BOTOV D.S. Features and problems of using modern language workbench in language-oriented programming .................................................................................................................................... 128 KAFTANNIKOV I.L., KHANKIN K.M. A simple GRID system model for estimating a job scheduling algorithm impact on power consumption ....................................................................... 131

    Information .................................................................................................................................. 138

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    1. Arato, M. Linear Stohastic Systems with Constant Coefficients. A Statistica1 Approach / M. Ara-to. Berlin; Heidelberg; N.Y.: Springer-Verlag, 1982.

    2. Gliklikh, Yu.E. Global and Stochastic Analysis with Applications to Mathematical Physics / Yu.E. Gliklikh. London; Dordrecht; Heidelberg; N.Y.: Springer, 2011.

    3. Da Prato, G. Stochastic equations in infinite dimensions / G. Da Prato, J Zabczyk. Cambridge: Cambridge University Press, 1992.

    4. Kovacs, M. Introduction to stochastic partial differential equations / M. Kovacs, S. Larsson // Processing of New Directions in the Mathematical and Computer Sciences, National Universities Com-mission. Abuja. Nigeria. October 812. 2007. Publications of the ICMCS. 2008. V. 4. P. 159232.

    Copyright & A K-C

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    5. Melnikova, I.V. Abstract Stochastic Equations II. Solutions in Spaces of Abstract Stochastic Dis-tributions / I.V. Melnikova, A.I. Filinkov, M.A. Alshansky // Journal of Mathematical Sciences. 2003. V. 116, no 5. P. 36203656.

    6. Melnikova, I.V. Generalized solutions to abstract stochastic problems / I.V. Melnikova, A.I. Filinkov // J. Integ. Transf. and Special Funct. 2009. Vol. 20, no. 34. P. 199206.

    7. Shestakov, A.L. Optimal Measurement of Dynamically Distorted Signals / A.L. Shestakov, G.A. Sviridyuk // . . 2011. . 8. 17 (234). . 7075.

    8. Gantmacher, F.R. The Theory of Matrices / F.R. Gantmacher. AMS Chelsea Publishing: Re-printed by American Mathematical Society. 2000.

    9. Shestakov, A.L. On Optimal Measurement of the White Noise / A.L. Shestakov, G.A. Sviridyuk // . . 2012. 27. . 99108.

    10. Sviridyuk, G.A. Linear Sobolev Type Equations and Degenerate Semigroups of Operators / G.A. Sviridyuk, V.E. Fedorov. Utrecht; Boston; Tokio: VSP, 2003.

    11. Nelson, E. Dynamical Theories of Brownian Motion / E. Nelson. Princeton: Princeton Univer-sity Press, 1967.

    12. , .. - / .. // . - . 2012. 27. . 2434.

    13. , .. / .. , .. , .. // . 2012. 1. . 107115.

    14. , .. - / .. // . - . 2012. . 14. 40. . 7382.

    15. , .. / .. , .. // . . . 2012. . 19. . 2. . 252254.

    16. , .. / .. , .. // . . -. . 2010. . 3, 1. . 104125.

    , - . , , -

    - , - (. -), [email protected]

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    Bulletin of the South Ural State University

    Series Computer Technologies, Automatic Control, Radio Electronics 2013, vol. 13, no. 2, pp. 411

    DINAMIC MEASUREMENT IN SPACES OF NOISE A.L. Shestakov, South Ural State University, Chelyabinsk, Russian Federation, [email protected] G.A. Sviridyuk, South Ural State University, Chelyabinsk, Russian Federation, [email protected] Yu.V. Hudyakov, South Ural State University, Chelyabinsk, Russian Federation, [email protected]

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  • 2013, 13, 2 11

    The new concept of the white noise was proposed by the authors, it is understood by the Nelson Gliklikhs derivative of the Wiener process. This approach extends to other noise, which together make up the space of noise. Precise dynamic measure-ment noise produced in these spaces through a mathematical model of the measuring device provided by the equations of Leontief type. As an example, the measured noise having the form a pulse, the amplitude of which is the Gauss random variable. The results of measurements are precise.

    Keywords: the Wiener process, the Nelson Gliklikhs derivative, white noise, dy-namic measurement, space of noise.

    References 1. Arato M. Linear Stohastic Systems with Constant Coefficients. A Statistical Approach. Berlin;;

    Heidelberg; N.Y., Springer-Verlag, 1982. 2. Gliklikh Yu.E. Global and Stochastic Analysis with Applications to Mathematical Physics. Lon-

    don; Dordrecht; Heidelberg; N.-Y., Springer, 2011. 3. Da Prato G., Zabczyk J. Stochastic equations in infinite dimensions. Cambridge, Cambridge Uni-

    versity Press, 1992. 4. Kovacs M., Larsson S. Introduction to Stochastic Partial Differential Equations. Processing of

    New Directions in the Mathematical and Computer Sciences, National Universities Commission. Ab-uja. Nigeria. October 812. 2007. Publications of the ICMCS. 2008, vol. 4, pp. 159232.

    5. Melnikova I.V, Filinkov A.I., Alshansky M.A. Abstract Stochastic Equations II. Solutions in Spaces of Abstract Stochastic Distributions. Journal of Mathematical Sciences. 2003, vol. 116, no 5, pp. 36203656.

    6. Melnikova I.V., Filinkov A.I. Generalized Solutions to Abstract Stochastic Problems. J. Integ. Transf. and Special Funct. 2009, vol. 20, no. 34, pp. 199206.

    7. Shestakov A.L., Sviridyuk G.A. Optimal Measurement of Dynamically Distorted Signals. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Matematicheskoe modelirovanie i pro-grammirovanie. 2011, no. 17 (234), pp. 7075.

    8. Gantmacher F.R. The Theory of Matrices. AMS Chelsea Publishing, Reprinted by American Ma-thematical Society. 2000.

    9. Shestakov A.L., Sviridyuk G.A. On Optimal Measurement of the White Noise. Vestnik Yuzh-no-Uralskogo gosudarstvennogo universiteta. Seriya Matematicheskoe modelirovanie i programmiro-vanie. 2012, no. 27, pp. 99108.

    10. Sviridyuk G.A., Fedorov V.E. Linear Sobolev Type Equations and Degenerate Semigroups of Operators. Utrecht; Boston; Tokio, VSP, 2003.

    11. Nelson E. Dynamical Theories of Brownian Motion. Princeton, Princeton University Press, 1967. 12. Gliklih Yu.E. The Study of Equations of Leontief type with White Noise Methods Derived an

    Average of Random Processes [Izuchenie uravnenij leont'evskogo tipa s belym shumom metodami proizvodnyh v srednem sluchajnyh processov]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universi-teta. Seriya Matematicheskoe modelirovanie i programmirovanie. 2012, no. 27, pp. 2434.

    13. Shestakov A.L., Keller A.V., Nazarova E.I. Numerical Solution of the Optimal measurement problem [Chislennoe reshenie zadachi optimal'nogo izmerenija]. Automation and Remote Control. 2012, no. 1, pp. 107115.

    14. Zamyshlyaeva .. Stochastic Partial Linear Equations of Sobolev type of High Order with Additive White Noise [Stohasticheskie nepolnye linejnye uravnenija sobolevskogo tipa vysokogo por-jadka s additivnym belym shumom]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Matematicheskoe modelirovanie i programmirovanie. 2012, no. 40, pp. 7382.

    15. Zagrebina S.A., Soldatova .. Equation of Barenblatt-Zheltova-Kochina with White Noise [Uravnenie Barenblatta-Zheltova-Kochinoj s belym shumom]. Obozrenie priklad. i prom. matematiki. 2012, vol. 19, issue 2, pp. 252254.

    16. Sviridyuk G.A., Zagrebina S.. The Showalter-Sidorov problem as a Phenomena of the Sobolev type Equations [Zadacha Shouoltera-Sidorova kak fenomen uravnenij sobolevskogo tipa]. Izvestiya Ir-kutskogo gosudarstvennogo universiteta, seriya Matematika. 2010, vol. 3, no. 1, pp. 104125.

    18 2013 .

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    8. , .. - / .. // - . http://www/sci.urc.ac.ru/news/2004_4(26)/. C. 96100.

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    Bulletin of the South Ural State University Series Computer Technologies, Automatic Control, Radio Electronics

    2013, vol. 13, no. 2, pp. 1224 METHOD OF PREDICTIVE CONTROL OF INDUSTRIAL FACILITIES ENERGY EFFICIENCY L.S. Kazarinov, South Ural State University, Chelyabinsk, Russian Federation, [email protected] T.A. Barbasova, South Ural State University, Chelyabinsk, Russian Federation, [email protected] A.A. Zakharova, South Ural State University, Chelyabinsk, Russian Federation, [email protected]

    A method of the committee approach to the prognostic control of energy efficiency of industrial plants is considered. The method is based on optimal prognostic model for energy consumption of technological objects and production departments. The model-building is based on three criteria: (1) the maximum of the weighted sum of the forecast-ing points with required accuracy; (2) regularization of the problem statement in case of incomplete data; (3) minimization of economic losses arising from forecast errors. A spe-cial program for energy efficiency decision-making support is offered. The program is based on factorial analysis of the current energy consumption of the controlled units and energy consumption goals setting. The main objectives of energy management: operation-al management and control, planning of production, planning of energy saving measures are considered.

    Keywords: the committee approach, prognostic control, energy management.

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    References 1. Kazarinov L.S. Avtomatizirovannyye sistemy upravleniya v energosberezhenii (opyt razra-

    botki): monografiya [Automated Control Systems in Energy Saving (Development Experience)] / L.S. Kazarinov, D.A. Shnayder, T.A. Barbasova and others. Chelyabinsk: Publisher SUSU, 2010. 228 p.

    2. Barbasova T.A., Zakharova A.A. The Introduction of an Energy Management System at the Me-tallurgical Enterprises of the Chelyabinsk Region in Order to Increase Energy Efficiency in the Region [Vnedreniye sistemy energeticheskogo menedzhmenta na metallurgicheskikh predpriyatiyakh Chelya-binskoy oblasti v tselyakh povysheniya energeticheskoy effektivnosti regiona]. Ekonomika promyshlen-nosti [Industrial Economics], 2012, 3, pp. 4246.

    3. Barbasova T.A., Zakharova A.A. Ways to Increase the Energy Efficiency of the Chelyabinsk Region [Puti povysheniya energeticheskoy effektivnosti Chelyabinskoy oblasti]. Innovatsionnyy Vestnik Region [Innovation Herald Region]. 2012. 2. pp. 6975.

    4. Koptsev L.A., Yapryntseva I.A. Modeling of Fuel Consumption in JSC Magnitogorsky Iron and Steel Works [Modelirovaniye potrebleniya topliva v OAO MMK]. Promyshlennaya energetika [Industrial Energy]. Moscow: NTF Progress, 2004, Issue. Number 5, pp. 26.

    5. Kazarinov L.S., Bordetsky A.B. Optimization Algorithm for Design Problems with Inconsistent Specifications [Algoritm optimizatsii dlya zadach proyektirovaniya pri protivorechivom tekhnicheskom zadanii]. Informatsionnyye i upravlyayushchiye elementy i sistemy. Trudy CHPI [Information and con-trol elements and systems. Proceedings of the ChPI], 231, Chelyabinsk, 1979.

    6. Kazarinov L.S., Bordetsky A.B. On the Determination of the Committee System of Weighted Inequalities. [Ob opredelenii komiteta sistemy vzveshennykh neravenstv]. Kibernetika [Cybernetics]. 5. 1981.

    7. Kazarinov L.S., Omelchenko N.V. Coordination of Decisions in the Multi-level Design Sys-tems. [Koordinatsiya resheniy v mnogourovnevykh sistemakh proyektirovaniya]. Voprosy kibernetiki. Metody i modeli otsenki effektivnosti razvivayushchikhsya sistem [Problems of Cybernetics. Methods and models for assessing the effectiveness of developing systems]. Moscow: Nauka, 1982.

    8. Yapryntseva I.A. The Preparation to Control the Consumption of Fuel in the JSC Magnito-gorsky Iron and Steel Works on the Basis of Mathematical Statistical Dependencies [Podgotovka k upravleniyu potrebleniyem topliva v OAO MMK na osnove matematicheskikh statisticheskikh zavi-simostey] Izvestiya Chelyabinskogo nauchnogo tsentra [Proceedings of the Chelyabinsk Scientific Cen-ter]. http://www/sci.urc.ac.ru/news/2004_4(26)/. pp. 96100.

    9. Kazarinov L.S. Sistemnyye issledovaniya i upravleniye / kognitivnyy podkhod/: nauchno-metodicheskoye posobiye / [System Studies and Management / Cognitive Approach /: Research Tools /] L.S. Kazarinov. Chelyabinsk: Publisher SUSU, 2011. 524 p.

    10. Kazarinov L.S., Barbasova T.A., Zakharova A.A. Optimal Prediction of Energy Resources Consumption, in Value Criterion [Optimalnoye prognozirovaniye potrebleniya energeticheskikh resur-sov po stoimostnomu kriteriyu] Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioelektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics]. 2013. Volume 13, 1, pp. 9094.

    11. Kazarinov L.S., Barbasova T.A., Zakharova A.A. Automated Information Decision Support System on Control and Planning Energy Resources Usage [Avtomatizirovannaya informatsionnaya sis-tema podderzhki prinyatiya resheniy po kontrolyu i planirovaniyu potrebleniya energeticheskikh resur-sov] Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioelektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics]. 2012. 23. pp. 118122.

    12. Kazarinov L.S. Vvedeniye v metodologiyu sistemnykh issledovaniy i upravleniya: monografiya [Introduction to the Methodology of Systems Research and Management: Study]. Chelyabinsk: Publish-er SUSU, 2008. 344 p.

    18 2013 .

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    Bulletin of the South Ural State University

    Series Computer Technologies, Automatic Control, Radio Electronics 2013, vol. 13, no. 2, pp. 2532

    OPTIMIZATION OF STEAM BOILERS AT SECONDARY FUELS FIRING

    I.V. Belavkin, Ministry of Construction, Infrastructure and Road Economy of the Chelyabinsk region, Chelyabinsk, Russian Federation, L.S. Kazarinov, South Ural State University, Chelyabinsk, Russian Federation, [email protected]

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    Conditions optimization of steam boilers consuming composite fuels: natural gas and secondary fuels with instable parameters (pressure and calorie content) is considered. A method of dynamic factor analysis of combustion processes in the steam boiler furnace is proposed. The method allows to estimate current calorie content of secondary fuels. For the purpose of primary fuels reduction due to sec-ondary fuels consuming in steam boilers are suggested using automatic control loops of: fuels supply, air supply, rarefaction in boiler furnace and the output op-eration parameters. Optimizing control systems of air supply and rarefaction in boiler furnace using criterion of maximum steam boilers efficiency is given. Ap-plication of the optimizing control systems allows to reduce natural gas consump-tion due to efficiency gain of composite fuels firing. The structures of the auto-matic control systems can be used not only in steam boilers, but also in technolo-gical processes, where heat processes are based on firing.

    Keywords: optimization, steam boiler, secondary fuels.

    References 1. Kazarinov L.S. Sistemnye issledovaniya i upravlenie /kognitivnyy podhod/ [Systems Research

    and Management /Cognitive Approach/]. Cheljabinsk, Izdatel'skiy centr YuUrGU: Izdatel' T. Lur'e, 2011, 524 p.

    2. Kazarinov L.S., Ignatova T.A., Kinash A.V., Kolesnikova O.V., Shnayder D.A. Operational Regulation of Combustion Economy in Power Boilers [Operativnoe regulirovanie ekonomichnosti gore-niya v energeticheskikh kotlakh]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Komp'yuternye tekhnologii, upravlenie, radioelektronika [Bulletin of the South Ural State University. Series: Computer Technologies, Automatic Control, Radio Electronics]. 2008, vol. 8, no. 17 (117), pp. 2123.

    3. Kazarinov L.S., Shnayder D.A., Kinash A.V., Kolesnikova O.V. Correlation-Extreme Control System of Steam Boiler Energy Efficiency [Korrelyatsionno-ekstremal'naya sistema upravleniya energe-ticheskoy effektivnost'yu parovykh kotlov]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Komp'yuternye tekhnologii, upravlenie, radioelektronika [Bulletin of South Ural State University. Series: Computer technologies, Control, Electronics]. 2010, vol. 11, no. 2 (178), pp. 8185.

    4. Pletnev G.P. Avtomatizirovannye sistemy upravleniya ob"ektami teplovykh elektrostanciy [Au-tomated Control Systems of thermoelectric power stations]. Moscow, MEI, 1995, 353 p.

    5. Pletnev G.P., Lesnichuk L.N., Shelikhov L.N, Kovelenov V.I. Regulation of steam boiler heat load for case study of furnace dasher heat exchange signal [Regulirovanie teplovoy nagruzki barabanno-go parovogo kotla s issledovaniem signala po teplovospriyatiyu topochnykh ekranov]. Teploenergetika [Heat and Power Engineering]. 1984, no. 6, pp. 5358.

    6. Ravich M.B. Toplivo i effektivnost' ego ispol'zovaniya [Fuel and efficiency of its use]. Moscow, Nauka, 1971, 358 p.

    20 2013 .

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    9. , .. / .. , .. // - . 2006. . 309. 6. . 149152.

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    Bulletin of the South Ural State University Series Computer Technologies, Automatic Control, Radio Electronics

    2013, vol. 13, no. 2, pp. 3341

    PARAMETER ESTIMATION OF AN OIL EXTRACTING AND PUMP INSTALLATION CONTROL WITH USE OF DYNAMOMETER CARDS

    V.B. Sadov, South Ural State University, Chelyabinsk, Russian Federation, [email protected]

    problem of dynamometer card use is considered at an estimation of oil extracting parameters. The basic methods of an estimation output of oil well, including on dynamo-meter card are resulted. method of an estimation output of the oil well on dynamometer card power parameters is considered. Results simulation method of an estimation output of the oil well on dynamometer card are given. Perspectivity of parameter estimation me-thods of the oil extracting on the dynamometer card is shown.

    Defect simulation basic formulas such as insufficient inflow of a liquid to a chink systems pump installation the deep equipment, reflecting physical features of the given defect are resulted. Simulation results of this system are considered from the view point of the optimum control mode definition by oil extracting. As the schedule output of oil well has no obviously expressed point of an extremum the conclusion is made, that for control of the oil extracting process except for well it is necessary to include the sizes connected to other parameters of oil extracting and pump installation in criterion.

    Keywords: dynamometer card, control.

    References

    1. Sadov V.B. Sistema upravleniya privodom glubinnogo shtangovogo nasosa (varianty) [Control system of a drive sucker rod pump (variants)]. Patent 120159, Russia, 2012.

    2. Tagirova K., Dunaev I. Povyshenie dostovernosti otsenki debita neftyanoy skvazhiny po dinamo-gramme [Increase of reliability of an estimation output of oil well on dynamometer card]. Available at: http://www.oilcapital.ru/industry/68601.html, (accessed 23 may 2007).

    3. Mishchenko I.T. Skvazhinnaya dobycha nefti: Uchebnoe posobie dlya VUZov [Downhole oil transfer: the Manual for high schools]. Moskow, Oil and Gas, 2003. 76 p.

    4. Takhautdinov Sh.F., Farkhullin R.G., Muslimov R.Kh., Suleymanov E.I., Nikashev O.A., Gu-baydullin A.A. Obrabotka prakticheskikh dinamogramm na PEVM [Processing practical dynamometer cards on the computer] Kazan, New knowledge, 1997.

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    5. Chudin V.I., Valovskiy V.M., Samoylov V.V., Loboda I.I. K voprosu ob opredelenii debita zhid-kosti na uste skvazhiny po dinamogramme [To a question on definition output of oil well on a mouth of a chink on dynamometer card]. Available at: http://www. nponts.ru/press_center/articles/item-94/ (ac-cessed 20 april 2012).

    6. Diagnostika ShGNU. Programmnyy modul TestSGNU versiya 0325. Rukovodstvo polzovatelya [Diagnostics sucker rod pump. Program module TestSGNU version 0325. The user's guide]. Tomsk, SIAM.

    7. Zubairov I.F. Intellektualnaya skvazhina povyshenie effektivnosti mekhanizirovannoy dobychi [Intellectual chink - increase of efficiency of the mechanized extraction]. Inzhenernaya praktika [Engi-neering practice], 2011, no.5, pp. 8489.

    8. Romanova N.A., Aliev Z.Z., Buranchin A.R. Vyazkost neftegazovoy emulsii i eye vliyanie na effektivnost raboty glubinnonasosnykh ustanovok [Viscosity of an oil-and-gas mix and its influence on an overall performance of the deep pump installations]. Neftegasovoe delo [Oil-and-gas business], 2009, vol. 7, no.1, pp. 4348.

    9. Sergeev V.L., Sevostyanov D.V. Integrirovannye modeli i algoritmy identifikatsii debita skvaz-hin neftyanykh mestorozhdeniy [The integrated models and algorithms of identification of output of oil well chinks of oil deposits]. Tomsk, Izvestiya Tomskovo politekhnicheskovo universiteta [News of Tomsk polytechnical university], 2006, vol. 309, no. 6, pp. 149152.

    10. Krichke V.O. Novaya epokha v upravlenii nasosno-truboprovodnymi kompleksami [New epoch in management of pump-pipeline complexes]. Sovremennye naukoemkie tekhnologii [Modern high technology technologies], 2009, no. 1, pp. 2023.

    11. Krichke V.O. Debitomer [Measurement of output of oil well].Patent 2018650 C1, Russia, 1994. 12. Sadov V.B. Modelirovanie dinamogramm s razlichnymi defektami oborudovaniya neftyanoy

    skvazhyny [Simulation of Dynamometer Cards with Various Defects of Oil Well Equipment]. Vestnik YuUrGU, seriya Kompyuternye tekhnologii, upravlenie, radioelektronika [Bulletin of the South Ural State University. Series Computer Technologies, Automatic Control, Radio Electronics], 2013, vol. 13, no. 1, pp. 1625.

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    2013, 13, 2 51

    Bulletin of the South Ural State University Series Computer Technologies, Automatic Control, Radio Electronics

    2013, vol. 13, no. 2, pp. 4252 SIGNAL-ORIENTED MACROMODEL OF HYDRAULIC NETWORKS I.E. Vakhromeyev, Open Joint Stock Company Magnitogorsk Iron and Steel Works; Magni-togorsk, Chelyabinsk Region, Russian Federation, [email protected] L.S. Kazarinov, South Ural State University, Chelyabinsk, Russian Federation, [email protected] O.V. Kolesnikova, South Ural State University, Chelyabinsk, Russian Federation, [email protected] D.A. Shnayder, South Ural State University, Chelyabinsk, Russian Federation, [email protected]

    Operational control of complex hydraulic networks with variable loads using signal-oriented macromodel of the network is considered. The proposed model allows to solve the inverse problems of the networks dynamics, consisted in calculations of the additional resources needed for parrying uncontrollable load changes and stabilization of resources supply to consumers. An example of steam parameters stabilization for an electric power station of a steel works is given.

    Keywords: hydraulic networks, modeling, stabilization of resources supply, variable loads.

    References 1. Andrianov D.E., Shtykov R.A., Utkin Yu.V. Engineering and Calculation of Heat Network of

    Industrial Enterprises on the Basis of Mathematical Models [Proektirovanie i raschet teplovoy seti pro-myshlennogo predpriyatiya na osnove matematicheskikh modeley]. Promyshlennaya energetika [Indus-trial Energy]. 2004, no. 3, pp. 24-38.

    2. Vakhromeyev I.E. Distributed Automated System for Industrial Steam Supply Network Man-agement [Raspredelennaya avtomatizirovannaya sistema operativnogo upravleniya set'yu tekhnologi-cheskogo parosnabzheniya]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Komp'yuternye tekhnologii, upravlenie, radioelektronika [Bulletin of South Ural State University. Series Computer technologies, Control, Electronics]. 2010, vol. 12, no. 22 (198), pp.70-74.

    3. Evdokimov A.G., Tevyashev A.D., Dubrovskiy V.V. Modelirovanie i optimizatsiya potokora-spredeleniya v inzhenernykh setyah [Modeling and Optimization of Stream Distribution in Engineering Networks]. Mosow, Stroyizdat, 1990, 368 p.

    4. Zinger N.M. Gidravlicheskie i teplovye rezhimy teplofikatsionnykh system [Hydraulic and Heat-ing Modes of Heating Systems]. Mosow, Energiya, 1986, 320 p.

    5. Kazarinov L.S., Vakhromeyev I.E., Koptsev L.A., Shnayder D.A. i dr. Avtomatizirovannye sis-temy upravleniya v energosberezhenii (opyt razrabotki), pod red. L.S. Kazarinova [Automated Control Systems in Energy Saving (the Experience of the Development), ed. L.S. Kazarinov]. Chelyabinsk, YuUrGU, 2010, 228 p.

    6. Kazarinov L.S., Shnayder D.A. Method of Developing of Look-Ahead Energy Efficiency Esti-mation of Technological Processes [Metod postroeniya uprezhdayushchikh otsenok energeticheskoy effektivnosti tekhnologicheskih processov]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Komp'yuternye tekhnologii, upravlenie, radioelektronika [Bulletin of South Ural State Univer-sity. Series Computer technologies, Control, Electronics]. 2010, vol. 12, no. 22 (198), pp. 57-62.

    7. Kazarinov L.S., Popova O.V., Calculation of Complex Steam Networks with Regards to Dy-namics of Steam Accumulation [Podkhod k raschetu slozhnykh parovykh setey s uchetom dinamiki ak-kumulirovaniya para]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Komp'yuter-

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    nye tekhnologii, upravlenie, radioelektronika [Bulletin of South Ural State University. Series Com-puter technologies, Control, Electronics]. 2006, vol. 4, no.14 (69). pp. 78-83.

    8. Kazarinov L.S. Sistemnye issledovaniya i upravlenie /kognitivnyy podhod/ [Systems Research and Management /Cognitive Approach/]. Cheljabinsk, Izdatel'skiy centr YuUrGU: Izdatel' T. Lur'e, 2011, 524 p.

    9. Metody i algoritmy rascheta teplovykh setey, pod. red. V.Ya. Khasileva, A.P. Merenkova [Me-thods and algorithms of Heat Networks Calculation, ed. V.Ya. Khasileva, A.P. Merenkova]. Moscow, Energiya,1978, 176 p.

    10. Stennikov V.A., Sennova E.V., Oshchepkova T.B. Method of complex optimization of heat supply systems development [Metody kompleksnoy optimizatsii razvitiya teplosnabzhayushchikh sis-tem]. Izvestiya RAN. Energetika [Izvestiya Russian Academy of Sciences. Energy]. 2006, no. 3, pp. 44-54.

    11. Shnayder D.A., Divnich P.N., Vakhromeyev I.E. Modeling of steam accumulator dynamics [Modelirovanie dinamicheskikh rezhimov parovogo akkumulyatora]. Avtomatizatsiya v promyshlennosti [Automation in Industry]. 2009, no. 8, pp. 42-44.

    12. Shnayder D.A. Operational Flow Control of Power Resources in Production Networks with Re-gards to Dynamics of Their Accumulation [Operativnoe upravlenie potokami energeticheskikh resursov v proizvodstvennykh setyakh s uchetom dinamiki ikh akkumulirovaniya]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Komp'yuternye tekhnologii, upravlenie, radioelektronika [Bul-letin of South Ural State University. Series Computer technologies, Control, Electronics]. 2008, vol. 8, no. 1, pp. 45-49.

    13. Shnayder D.A., Divnich P.N., Vakhromeyev I.E. Steam supply distributed control of the indus-trial consumer from a dynamical programming model [Raspredelennoe upravlenie parosnabzheniem promyshlennykh potrebiteley na osnove dinamicheskoy programmnoy modeli]. Avtomatizaciya i sovre-mennye tekhnologii [Automation and Contemporary Technologies]. 2011, no. 5, pp. 31-37.

    21 2013 .

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    Bulletin of the South Ural State University Series Computer Technologies, Automatic Control, Radio Electronics

    2013, vol. 13, no. 2, pp. 5363 ON-LINE CONTROL OF ENERGY FLOWS IN HEAT AND GAS SUPPLY NETWORKS IN METALLURGICAl ENTERPRISE L.S. Kazarinov, South Ural State University, Chelyabinsk, Russian Federation, [email protected] T.A. Barbasova, South Ural State University, Chelyabinsk, Russian Federation, [email protected]

    Optimization of energy supply effectiveness and operational management of a heat power complex of the metallurgical enterprise is considered. Heatpower plants optimiza-tion and technological steam supply modes are given.

    Keywords: energy efficiency, heat-and-power networks system.

    References 1. Nikiforov G.V., Olejnikov V.K., Zaslavec B.I. Jenergosberezhenie I upravlenie jenergopotreb-

    leniem v metallurgicheskom proizvodstve [Energy Saving and Energy Management in Metallurgical Production] / G.V. Nikiforov, V.K. Olejnikov, B.I. Zaslavec. Mosow, Jenergoatomizdat, 2003, 480 p.

    2. Zinger N.M. Gidravlicheskie i teplovye rezhimy teplofikacionnyh system [Hydraulic and Ther-mal Modes of Heating Systems], Mosow, Jenergoatomizdat, 1986, 320 p.

    3. Kazarinov L.S., Barbasova T.A. Energy efficiency anticipatory control of an enterprise [Uprezhdayushcheye upravleniye energeticheskoy effektivnost yupredpriyatiy] VestnikYuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioe-lektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics], 2012, no. 35 (294), pp. 8598.

    4. Barbasova T.A., Zakharova A.A. The Introduction of an Energy Management System at the Me-tallurgical Enterprises of the Chelyabinsk Region in order to Increase Energy Efficiency in the Region [Vnedreniye sistemy energeticheskogo menedzhmenta na metallurgicheskikh predpriyatiyakh Chelya-binskoy oblasti v tselyakh povysheniya energeticheskoy effektivnosti regiona] // Ekonomikapromysh-lennosti [Industrial Economics], 2012, 3, pp. 4246.

    5. Kazarinov L.S., Barbasova T.A., Zakharova A.A. Automated Information Decision Support System on Control and Planning Energy Resources Usage [Avtomatizirovannaya informatsionnaya sis-tema podderzhki prinyatiya resheniy po kontrolyu i planirovaniyu potrebleniya energeticheskikh resur-sov] Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioelektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics]. 2012, 23, pp. 118122.

    6. Kazarinov L.S., Barbasova T.A. Energy Flow Control System in Heat and Power Engineering Sector of Iron and Steel Enterprise [Sistema upravleniya energeticheskimi potokami v teploenergeti-cheskom komplekse metallurgicheskogo predpriyatiya] Vestnik Yuzhno-Uralskogo gosudarstvennog ouniversiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioelektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics], 2012, no. 23, pp. 2125.

    7. Kazarinov L.S. Avtomatizirovannyye system yupravleniya v energosberezhenii (opyt razra-botki): monografiya[Automated Control Systems in Energy Saving (Development Experience)] / L.S. Kazarinov, D.A. Shnayder, T.A. Barbasova and others. Chelyabinsk: Publisher SUSU, 2010. 228 p.

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    8. Kazarinov L.S. Vvedeniye v metodologiyu sistemnykh issledovaniy upravleniya: monografiya [Introduction to the Methodology of Systems Research and Management: Study]. Chelyabinsk: Publish-er SUSU, 2008. 344 p.

    9. Popova O.V., Kazarinov L.S. Approach to Calculation of Difficult Steam Networks Taking into Account Dynamics of Accumulation of Steam [Podhod k raschetu slozhnyh parovyh setej s uchetom dinamiki akkumulirovanija para] Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioelektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics]. 2006, no. 4, 14 (69), pp. 7883.

    10. Bahvalov, N.S. Chislennye metody (analiz, algebra, obyknovenny edifferencial'nye uravnenija) [Numerical Methods (Analysis, Algebra, Ordinary Differential Equations), Mosow, 1973, 631 p.

    11. Barbasova T.A., Zakharova A.A. Ways to Increase the Energy Efficiency of the Chelyabinsk Region [Puti povysheniya energeticheskoy effektivnosti Chelyabinskoy oblasti] // Innovatsionnyy Vest-nik Region [Innovation Herald Region], 2012, 2, pp. 6975.

    12. Barbasova T.A., Divnich P.N., Evchina Ju.B., Shnayder D.A. Automation of the Steam-Jet Compressor Regimes Adjustment With Application of the SCADA-System TRACE MODE and Indis-tinct Multitude Theory [Avtomatizacii regulirovanija rezhimov parostrujnogo kompressora s primene-niem SCADA-sistemy TRACE MODE I teorii nechetkih mnozhestv] Avtomatizacijaisovremennyeteh-nologii [Automation and modern technologies], Mosow, Publisher: Mashinostroenie, no. 1, 2010, pp. 37.

    13. Barbasova T.A., Divnich P.N. Determination of Achievable Coefficients of Injection and Com-pression Ratio of the Jet Steam Compressor [Opredelenie dostizhimyh kojefficientov inzhekciii stepeni szhatija strujnogo parovogo kompressora] Vestnik Yuzhno-Uralskog ogosudarstvennogo universiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioelektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics]. 2007, no. 5, 7(79), pp. 34.

    14. Barbasova T.A., Vahromeev I.E., Divnich P.N., Shnayder D.A. Building a Steam Jet Ejector Design Parameters to Optimize the Condensing Unit of CHP [Postroenie raschetnyh harakteristik paro-strujnogo jezhektora dlja optimizacii raboty kondensacionnoj ustanovki TJeC] VestnikYuzhno-Uralskogo gosudarstvennogo universiteta. Seriya Kompyuternyye tekhnologii, upravleniye, radioe-lektronika. [The Bulletin of the South-Ural State University. Series Computer Technology, Control, Electronics], 2007, no. 6, 23(95), pp. 6363.

    15 2013 .

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    Bulletin of the South Ural State University

    Series Computer Technologies, Automatic Control, Radio Electronics 2013, vol. 13, no. 2, pp. 6473

    CREATING OF WHEEL MACHINES IDEAL TRACTIVE CHARACTERISTIC AND INTERNAL COMBUSTION ENGINES ECONOMIC CHARACTERISTIC BY REGULATION OF ELECTROMECHANICAL TRANSMISSION O.O. Pavlovskaya, South Ural State University, Chelyabinsk, Russian Federation,[email protected] S.V. Kondakov, South Ural State University, Chelyabinsk, Russian Federation, [email protected] L.S. Nosenko, science-industrial society Electromachine, Chelyabinsk, Russian Federation, [email protected]

    The results of research of wheel machine electromechanical transmissions properties for regulation of joint work of internal combustion engine, controlled by dri