Search Results for “mathematical model.” – Collected book of scientific-technical articles https://journal.yuzhnoye.com Space technology. Missile armaments Thu, 20 Jun 2024 09:25:02 +0000 en-GB hourly 1 https://wordpress.org/?v=6.2.2 https://journal.yuzhnoye.com/wp-content/uploads/2020/11/logo_1.svg Search Results for “mathematical model.” – Collected book of scientific-technical articles https://journal.yuzhnoye.com 32 32 4.1.2024 The dynamics of servo drives https://journal.yuzhnoye.com/content_2024_1-en/annot_4_1_2024-en/ Wed, 12 Jun 2024 16:08:46 +0000 https://journal.yuzhnoye.com/?page_id=34978
Theoretical research was conducted, using the complete mathematical model of the servo drive, which included the equations of the control signal shaping path, electric motor, reducer and load. Calculation results with the application of the given mathematical model match well with the results of the full-scale testing of different specimens of servo drives, which makes it possible to use it for the development of new servomechanisms, as well as for the correct flight simulation when testing the aircraft control systems. In particular, based on the frequency response calculations of the closed circuit with the application of the given mathematical model, it is possible to define optimal parameters of the correcting circuit. Key words: electric drive , servo drive , reducer , stability , mathematical model. electric drive , servo drive , reducer , stability , mathematical model.
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4. The dynamics of servo drives

Page: Kosm. teh. Raket. vooruž. 2024, (1); 29-39

Language: Ukrainian

Annotation: The article gives the analysis results for the servo drives dynamics, obtained from the theoretical calculations and during the development testing of the high power electric drives. Theoretical research was conducted, using the complete mathematical model of the servo drive, which included the equations of the control signal shaping path, electric motor, reducer and load. The equations of the control signal shaping network include only the characteristics of the compensating element in the assumption that all other delays in the transformation path are minimized. The electric motor equations are assumed in the classical form, taking into account the influence of the following main parameters on the motor dynamics: inductance and stator winding resistance, torque and armature reaction coefficients and rotor moment of inertia. Interaction of the motor with the multimass system of the reducer and load is presented in the form of force interaction of two masses – a reduced mass of the rotor and mass of the load through the certain equivalent rigidity of the kinematic chain. To describe the effect of gap in the kinematic connection the special computational trick, which considerably simplifies its mathematical description, is used. Efficiency of the reducer is presented in the form of the internal friction, proportional to the transmitted force. Calculation results with the application of the given mathematical model match well with the results of the full-scale testing of different specimens of servo drives, which makes it possible to use it for the development of new servomechanisms, as well as for the correct flight simulation when testing the aircraft control systems. In particular, based on the frequency response calculations of the closed circuit with the application of the given mathematical model, it is possible to define optimal parameters of the correcting circuit. Reaction on the step action with the various values of circular amplification coefficient in the circuit gives complete information on the stability regions of the closed circuit and influence of various drive parameters on these regions. Based on the conducted theoretical and experimental studies, the basic conclusions and recommendations were obtained and presented, accounting and implementation of which will provide high dynamic characteristics of the newly designed servo drives.

Key words: electric drive, servo drive, reducer, stability, mathematical model.

Bibliography:
  1. Kozak L. Dynamika servomechanismov raketnoy techniki. Inzhenernye metody issledovaniya. Izd-vo LAP LAMBERT Academic Publiching, Germania. 2022.
  2. Kozak L. R., Shakhov M. I. Matematicheskie modely hydravlicheskikh servomekhanismov raketno-kosmicheskoy techniki. Kosmicheskaya technika. Raketnoe vooruzhenie. 2019. Vyp. 1.
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4.1.2024 The dynamics of servo drives
4.1.2024 The dynamics of servo drives
4.1.2024 The dynamics of servo drives

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10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests https://journal.yuzhnoye.com/content_2018_2-en/annot_10_2_2018-en/ Thu, 07 Sep 2023 11:29:45 +0000 https://journal.yuzhnoye.com/?page_id=30766
Lectures in Mathematical Models of Turbulence.
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10. Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2018 (2); 83-93

DOI: https://doi.org/10.33136/stma2018.02.083

Language: Russian

Annotation: At Yuzhnoye State Design Office, the Cyclone-4 launch vehicle 3rd stage engine has been developed and is under testing. For adjustment of the engine and test bench systems, in the first firing tests the radiation-cooled nozzle extension was replaced with a steel water-cooled one. It was planned to start the engine with water-cooled nozzle extension without vacuumizing and without gad dynamic pipe, which conditioned operation with flow separation at the output edge of water-cooled nozzle extension. Therefore, the calculation of flow in the nozzle with water-cooled extension, flow separation place, and thermal load on watercooled nozzle extension during operation in ground conditions is an important task. Selection of turbulent flow model has a noticeable impact on prediction of flow characteristics. The gas dynamic analysis of the nozzle with water-cooled extension showed the importance of using the turbulent flow model k-ω SST for the flows with internal separation of boundary layer and with flow separation at nozzle section. The use the flow model k-ω SST for calculation of nozzle with flow separation or with internal transitional layer allows adequately describing the flow pattern, though, as the comparison with experimental data showed, this model predicts later flow separation from the wall than that obtained in the tests. The calculation allows obtaining a temperature profile of the wall and providing the recommendations for selection of pressure measurement place in the nozzle extension for the purpose of reducing sensors indication error. With consideration for the special nature of the nozzle extension wall temperature field, the cooling mode was selected. The tests of RD861K engine nozzle with water-cooled extension allow speaking about its successful use as a required element for testing engine start and operation in ground conditions without additional test bench equipment.

Key words: turbulent flow, flow separation, cooling, technological extension

Bibliography:
1. Massiet P., Rocheque E. Experimental Investigation of Exhaust Diffusors for Rocket Engines. Investigation of Liquid Rocket Engines. М., 1964. P. 96-109.
2. Mezhevov A. V., Skoromnov V. I., Kozlov A. V. et al. Introduction of Radiation Cooling Nozzle Head of Made of Carbon-Carbon Composite Material on DM-SL Upper Stage 11D58M Main Engine. News of Samara Aerospace University. No. 2 (10). 2006. P. 260-264.
3. Fluent. Software Package, Ver. 6.2.16, Fluent Inc., Lebanon, NH, 2004.
4. Wilcox D. C. Turbulence Modeling for CFD. DCW Industries, Inc. La Canada, California, 1998. 460 р.
5. Andersen D., Tannehill J., Platcher R. Computational Hydromechanics and Heat Exchange: in 2 volumes М., 1990. 384 p.
6. Rodriguez C. G., Culter, A. D. Numerical Analysis of the SCHOLAR Supersonic Combustor, NASA-CR-2003-212689. 2003. 36 р.
7. Rajasekaran A., Babu V. Numerical Simulation of Three-dimensional Reacting Flow in a Model Supersonic Combustor. Journal of Propulsion and Power. Vol. 22. No. 4. 2006. Р. 820-827. https://doi.org/10.2514/1.14952
8. Spalart P., Allmaras S. A one-equation turbulence model for aerodynamic flows: Technical Report. American Institute of Aero-nautics and Astronautics. AIAA-92-0439. 1992. Р. 5-21. https://doi.org/10.2514/6.1992-439
9. Launder B. E., Spalding D. B. Lectures in Mathematical Models of Turbulence. London, 1972. Р. 157-162.
10. Rajasekaran A., Babu V. Numerical Simulation of Three-dimensional Reacting Flow in a Model Supersonic Combustor. Journal of Propulsion and Power. Vol. 22. No. 4. 2006. Р. 820-827. https://doi.org/10.2514/1.14952
11. Ten-See Wang. Multidimensional Unstructured Grid Liquid Rocket-Engine Nozzle Performance and Heat Transfer Analysis. Journal of Propulsion and Power. Vol. 22. No. 1. 2006. 21 р. https://doi.org/10.2514/1.14699
12. Hyun Ko, Woong-Sup Yoon. Performance Analysis of Secondary Gas Injection into a Conical Rocket Nozzle. Journal of Propulsion and Power. Vol. 18, No. 3. 2002. Р. 585-591. https://doi.org/10.2514/2.5972
13. Wilson E. A., Adler D., Bar-Yoseph P. Thrust-Vectoring Nozzle Performance Mode-ling. Journal of Propulsion and Power. Vol. 19, No. 1. 2003. Р. 39-47. https://doi.org/10.2514/2.6100
14. Gross A., Weiland C. Numerical Simulation of Hot Gas Nozzle Flows. Journal of Propulsion and Power. Vol. 20, No. 5. 2004. Р. 879-891. https://doi.org/10.2514/1.5001
15. Gross A., Weiland C. Numerical Simulation of Separated Cold Gas Nozzle Flows. Journal of Propulsion and Power. Vol. 20, No. 3. 2004. Р. 509-519. https://doi.org/10.2514/1.2714
16. Deck S., Guillen P. Numerical Simulation of Side Loads in an Ideal Truncated Nozzle. Journal of Propulsion and Power. Vol. 18, No. 2. 2002. Р. 261-269. https://doi.org/10.2514/2.5965
17. Östlund J., Damgaard T., Frey M. Side-Load Phenomena in Highly Overexpanded Rocket Nozzle. Journal of Propulsion and Power. Vol. 20, No. 4. 2004. Р. 695-704. https://doi.org/10.2514/1.3059
18. Goldberg U. C. Separated Flow Treatment with a New Turbulence Model. AIAA Journal. Vol. 24, No. 10. 1986. Р. 1711-1713. https://doi.org/10.2514/3.9509
19. Golovin V.S., Kolchugin B.A., Labuntsov D.A. Experimental Investigation of Heat Exchange and Critical Heat Loads at Water Boiling in Free Motion Conditions. 1963. Vol. 6, No 2. p. 3-7.
20. Mikheyev М. А., Mikheyeva I. M. Heat-Transfer Principles. 2nd edition stereotyped. М., 1977. 343 p.
21. Kutateladze S. S., Leontyev A. I. Heat-Mass Exchange and Friction in Turbulent Boundary Layer. М., 1972. 341 p.
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10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests
10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests
10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests

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9.1.2023 Methodology for selecting design parameters of solid-propellant sustainer engines. Mathematical support and software https://journal.yuzhnoye.com/content_2023_1-en/annot_9_1_2023-en/ Fri, 12 May 2023 16:11:14 +0000 https://test8.yuzhnoye.com/?page_id=26993
The main types of mathematical models, their areas of application have been considered as a part of the analysis. The classification of mathematical models has been indicated according to the scale of reproduced operations, purpose, and goal orientation. In particular, searching for the compromise between simplicity of the mathematical model and its adequacy to the research object is among these problems. Therefore, within the bounds of further research, this approach requires the development both in terms of improving the reliability of the single assessment and in terms of giving the system qualities to the synthesized mathematical model. Key words: multifunctional system , mathematical model , military unit , combat potential , correlation of forces , defensive sufficiency Bibliography: 1. multifunctional system , mathematical model , military unit , combat potential , correlation of forces , defensive sufficiency .
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9. Methodology for selecting design parameters of solid-propellant sustainer engines. Mathematical support and software

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2023 (1); 77-87

DOI: https://doi.org/10.33136/stma2023.01.077

Language: Ukrainian

Annotation: Substantiation of the research tools has been performed as a part of methodology development for the air and missile defense system. The problem under consideration is very complex due to the multifactorial nature of the research object, its qualitative variety and manifold structure, incomplete definition of the problem statement. Furthermore, the ability of modern technologies to produce different arms systems, which are capable of carrying out same class tasks, considerably increases the risk of making not the best decisions. Based on this, as well as taking into account the sharp increase in the cost of weaponry, the considered problem is classified as an optimization one that should be solved through the theory of operations research. In this theory, such task is viewed as a mathematical problem, and mathematical simulation is the basic method of research. The main types of mathematical models, their areas of application have been considered as a part of the analysis. The classification of mathematical models has been indicated according to the scale of reproduced operations, purpose, and goal orientation. Quantitative and qualitative correlation of forces has been accepted as the efficiency criterion, which determines a goal orientation of the model. The problems related to this have been shown. In particular, searching for the compromise between simplicity of the mathematical model and its adequacy to the research object is among these problems. Two of the basic approaches to principles of the military operation model construction and its assessment have been considered. The first is implemented through modeling of the combat operations. The second approach is based on the assumption that different armament types can be compared based on their contribution to the outcome of the operation, and on the possibility to assign «a weighting coefficient» named as a combat potential to each of these types. The modern level of problem solving related to this method has been shown. The reasonability of its application in the considered task, including the definition of forces correlation of the opposing parties, has been substantiated. The basic regulations of the construction concept of the required mathematical model and tools for its research have been formulated based on the analysis results: the assigned problem should be solved by analytical methods through the theory of operations research; the analytical model is the most acceptable conception of the analyzed level of the military operation; the synthesis of the model should be based on the idea of a combat potential. At the same time, it should be taken into account that the known approach to the definition of forces correlation, which uses the combat potential method, has a number of essential limitations, including the methodological ones. Therefore, within the bounds of further research, this approach requires the development both in terms of improving the reliability of the single assessment and in terms of giving the system qualities to the synthesized mathematical model.

Key words: multifunctional system, mathematical model, military unit, combat potential, correlation of forces, defensive sufficiency

Bibliography:

1. Pavlyuk Yu. S. Ballisticheskoe proektirovanie raket: ucheb.-metod, posobie dlya vuzov. UDK623.451.8. Izd-vo ChGTU, Chelyabinsk, 1996. 92 s.
2. Nikolaev Yu. M., Solomonov Yu. S. Inzhenernoe proektirovanie upravlyaemykh ballisticheskikh raket s RDTT. M., 1979. 240 s.
3. Enotov V. G., Kirichenko A. S., Pustovgarova Ye. V. Osobennosti rascheta i vybora raskhodnoy diagrammy dvukhrezhimnykh marshevykh RDTT: ucheb.-metod. posobie. Pod red. akadem. A. V. Degtyreva. Dnepr, 2019. 68 s.
4. Enotov V. G., Kushnir B. I., Pustovgarova Ye. V. Metodika-programma proektnoy otsenki characteristic marshevykh dvigateley na tverdom toplive s korpusami iz vysokoprochnykh metallicheskikh materialov, statsionarnymi soplami i postanovka ee na avtomatizirovanniy raschet: ucheb.-metod. posobie. Vtoroe izd., pererabot. i dop. Pod red. A. S. Kirichenko. Dnep, 2019. 91 s.
5. Enotov V. G., Kirichenko A. S., Kushnir B. I., Pustovgarova Ye. V. Metodika proektnoy otsenki characteristic marshevykh dvigatelnykh ustanovok na tverdom toplive s povorotnymi upravlyayuschimi soplami, plastikovymi tselnomotannymi korpusamy i postanovka ee na avtomatizirovanniy raschet: ucheb.-metod. posobie. Vtoroe izd., pererabot. i dop. Pod red. akadem. A. V. Degtyareva. Dnepr. 2019. 149 s.
6. Alemasov V. Ye., Dregalin A. F., Tishin A. P. Teoriya raketnykh dvigateley. M., 1980. 55 s.
7. Raschetnye materialy dlya podgotovki i vydachi iskhodnykh dannykh na razrabotku uzlov marshevykh dvigatelnykh ustanovok na tverdom toplive. Raschet ID metodom avtomatizirovannogo proektirovaniya operativno-takticheskikh raket: inzhenern. zapiska 553-376 IZ. GP «KB «Yuzhnoye». Dnepropetrovsk, 2017. 30 s.
8. Metodika avtomatizirovannogo proektirovaniya operativno-takticheskikh raket: nauch.-tekhn. Otchet 03-453/32 NTO. GP «KB «Yuzhnoye». Dnepropetrovsk, 2010. 127 s.

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9.1.2023 Methodology for selecting design parameters of solid-propellant sustainer engines. Mathematical support and software
9.1.2023 Methodology for selecting design parameters of solid-propellant sustainer engines. Mathematical support and software
9.1.2023 Methodology for selecting design parameters of solid-propellant sustainer engines. Mathematical support and software

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1.1.2023 On the development of a methodology for building air and missile defense systems. Explanation of the investigation mechanism https://journal.yuzhnoye.com/content_2023_1-en/annot_1_1_2023-en/ Thu, 11 May 2023 15:25:30 +0000 https://test8.yuzhnoye.com/?page_id=26682
The main types of mathematical models, their areas of application have been considered as a part of the analysis. The classification of mathematical models has been indicated according to the scale of reproduced operations, purpose, and goal orientation. In particular, searching for the compromise between simplicity of the mathematical model and its adequacy to the research object is among these problems. Therefore, within the bounds of further research, this approach requires the development both in terms of improving the reliability of the single assessment and in terms of giving the system qualities to the synthesized mathematical model. Key words: multifunctional system , mathematical model , military unit , combat potential , correlation of forces , defensive sufficiency Bibliography: Korshunov Yu.  multifunctional system , mathematical model , military unit , combat potential , correlation of forces , defensive sufficiency .
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1. On the development of a methodology for building air and missile defense systems. Explanation of the investigation mechanism

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2023 (1); 3-13

DOI: https://doi.org/10.33136/stma2023.01.003

Language: Ukrainian

Annotation: Substantiation of the research tools has been performed as a part of methodology development for the air and missile defense system. The problem under consideration is very complex due to the multifactorial nature of the research object, its qualitative variety and manifold structure, incomplete definition of the problem statement. Furthermore, the ability of modern technologies to produce different arms systems, which are capable of carrying out same class tasks, considerably increases the risk of making not the best decisions. Based on this, as well as taking into account the sharp increase in the cost of weaponry, the considered problem is classified as an optimization one that should be solved through the theory of operations research. In this theory, such task is viewed as a mathematical problem, and mathematical simulation is the basic method of research. The main types of mathematical models, their areas of application have been considered as a part of the analysis. The classification of mathematical models has been indicated according to the scale of reproduced operations, purpose, and goal orientation. Quantitative and qualitative correlation of forces has been accepted as the efficiency criterion, which determines a goal orientation of the model. The problems related to this have been shown. In particular, searching for the compromise between simplicity of the mathematical model and its adequacy to the research object is among these problems. Two of the basic approaches to principles of the military operation model construction and its assessment have been considered. The first is implemented through modeling of the combat operations. The second approach is based on the assumption that different armament types can be compared based on their contribution to the outcome of the operation, and on the possibility to assign «a weighting coefficient» named as a combat potential to each of these types. The modern level of problem solving related to this method has been shown. The reasonability of its application in the considered task, including the definition of forces correlation of the opposing parties, has been substantiated. The basic regulations of the construction concept of the required mathematical model and tools for its research have been formulated based on the analysis results: the assigned problem should be solved by analytical methods through the theory of operations research; the analytical model is the most acceptable conception of the analyzed level of the military operation; the synthesis of the model should be based on the idea of a combat potential. At the same time, it should be taken into account that the known approach to the definition of forces correlation, which uses the combat potential method, has a number of essential limitations, including the methodological ones. Therefore, within the bounds of further research, this approach requires the development both in terms of improving the reliability of the single assessment and in terms of giving the system qualities to the synthesized mathematical model.

Key words: multifunctional system, mathematical model, military unit, combat potential, correlation of forces, defensive sufficiency

Bibliography:
  1. Korshunov Yu. M. Matematicheskie osnovy kibernetiki. M., 1972. 376 s.
  2. Pavlovskiy R. I., Karyakin V. V. Ob opyte primeneniya matematicheskih modeley. Voennaya mysl. № 3. S. 54-57.
  3. Katasonov Yu. V. SShA: voennoe programmirovanie. M., 1972. 228 s.
  4. Analiz opyta ministerstva oborony SShA po sovershenstvovaniyu systemy plannirovaniya i upravleniya razrabotkami vooruzhenniya. TsIVTI, otchet № 11152 po NIR. M., 1967.
  5. Sokolov A. Razvitie matemaicheskogo modelirovaniya boevyh deistviy v armii SShA. Zarubezhnoye voennoe obozrenie. № 8. S. 27-34.
  6. Chuev Yu. V. Issledovanie operatsiy v voennom dele. M., 1970. 256 s.
  7. Yevstigneev V. N. K voprosu metodologii matematicheskogo modelirovaniya operatsii. Voennaya mysl. № 17. S. 33-41.
  8. Fendrikov I., Yakovlev V. I. Metody raschetov boevoy effectivnosti vooruzhennia. M., 1971. 224 s.
  9. Neupukoev F. O podhode k otsenke boevyh vozmozhnostey i boevoy effectivnosti voisk. Voennaya mysl. № 11. S. 70-72.
  10. AgeevYu. D., Geraskin A. P. K voprosu o povyshenii dostovernosti otsenki sootnosheniya sil protivoborstvuyuschih storon. Voennaya mysl. № 4. S. 54-58.
  11. Aleshkin A. V. Otsenka i soozmerenie sil voyuuschih storon s uchetom kachestva sredstv porazhenya. Voennaya mysl. № 10. S. 69-76
  12. Ponomarev O. K. O metodah kolichestvennoy i kachestvennoy otsenki sil storon. Voennaya mysl. № 4. S. 41-46.
  13. Luzyanin V. P., Elizarov V. S. Podhod k opredeleniyu sostava gruppirovki sil i sredstv oboronnoy dostatochnosti. Voennaya mysl. № 11. S. 25-29.
  14. SpeshilovL. Ya., Pavlovskiy R. I., Kabysh A. I. K voprosu o kolichestvenno-kachestvennoy otsenke sootnosheniya sil raznorodnyh gruppirovok voisk. Voennaya mysl. № 5.
  15. . Strelchenko B. I., Ivanov V. A. Nekotoye voprosy otsenki sootnosheniya sil i sredstv v operatsii. Voennaya mysl. № 10. S. 55-61.
  16. Morozov N. A. O metodologii kachestvennogo analiza bolshih voennyh system. Voennaya mysl. № 7. S. 19-22.
  17. Terehov A. G. O metodike rascheta sootnosheniya sil v operatsii. Voennaya mysl. № 9. S. 51-57.
  18. Tsygichko V. A., Stokli F. Metod boevyh potentsialov. Istoria i nastoyaschee. Voennaya mysl. № 4. S. 23-28.
  19. BoninA. S. Osnovnye polozheniya metodicheskyh podhodov k otsenke boevyh potentsialov i boevyh vozmozhnostey aviatsionnyh formirovaniy. Voennaya mysl. № 1. S. 43-47.
  20. Bonin A. S., Gorchitsa G. I. O boevyh potentsialah obraztsov VVT, formirovaniy i sootnosheniyuah sil gruppirovok storon. Voennaya mysl. № 4. S. 61-67.
  21. SereginG. G., Strelkov  N., Bobrov V. M. Ob odnom podhode k raschetu znacheniy boevyh potentsialov perspektivnyh sredstv vooruzhenniy. Voennaya mysl. 2005. № 10. S. 32-38. https://doi.org/10.1016/S1097-8690(05)70764-2
  22. Morozov N. A. Esche raz o boevyh potentsialah. Voennaya mysl. № 9. S. 75-79.
  23. Naryshkin V. G. O pokazatelyah boevogo potentsiala voinskyh formirovaniy. Voennaya mysl. № 1. S. 68-72.
  24. Kostin N. A. Metodologicheskiy podhod k opredeleniyu boevyh potentsialov voiskovyh formirovanniy. Voennaya mysl. № 10. S. 44-48
  25. Ostankov V. I. Obosnovanie boevogo sostava gruppirovok voisk (sil). Voennaya mysl. № 1. S. 23-28.
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1.1.2023 On the development of a methodology for building air and missile defense systems. Explanation of the investigation mechanism
1.1.2023 On the development of a methodology for building air and missile defense systems. Explanation of the investigation mechanism
1.1.2023 On the development of a methodology for building air and missile defense systems. Explanation of the investigation mechanism

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