Search Results for “Sidoruk V. O.” – Collected book of scientific-technical articles https://journal.yuzhnoye.com Space technology. Missile armaments Tue, 02 Apr 2024 12:53:35 +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 “Sidoruk V. O.” – Collected book of scientific-technical articles https://journal.yuzhnoye.com 32 32 14.1.2020 On the problem of optimum control https://journal.yuzhnoye.com/content_2020_1-en/annot_14_1_2020-en/ Wed, 13 Sep 2023 11:02:31 +0000 https://journal.yuzhnoye.com/?page_id=31048
, Sidoruk V. P., Sidoruk V. P., Sidoruk V. P., Sidoruk V. P., Sidoruk V. P., Sidoruk V. P., Sidoruk V.
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14. On the problem of optimum control

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2020, (1); 133-136

DOI: https://doi.org/10.33136/stma2020.01.133

Language: Russian

Annotation: The use of Langrangian multipliers at solution of optimal control problems in linear statement with qua dratic quality criterion leads to the necessity of solving boundary value problem with conditions for multipliers at the right end of control interval. Solution of the obtained equations for the purpose of regulation synthesis in forward time in this case does not produce stabilizing effect, as a rule. For regulation synthesis, the met hod is widely used of analytical construction of optimal regulator based on stabilizing matrix, which is obtained by solution of algebraic Riccati equation. However, in this case, there are some difficulties ‒ the necessity of calculating the stabilizing matrix, impossibility of calculating this matrix in non-stationary problem. The article proposes the regulation synthesis method by way of solving boundary value problem on regulation cycle i nterval. For this purpose, the differential equations for state parameters and Langrangian multipliers are expressed in the form of finite-difference linear relations. Taking into account that the state parameters and Langrangian multipliers are equal to zero at the end of cycle, the Langrangian multipliers at the beginning of cycle are determined by known values of state parameters for the same moment through solving the above linear system. The obtained values form the regulation law. In consequence of small duration of regulation cycle, an amplifying coefficient is introduced in the regulation law. Its value is determined based on results of preliminary modeling. Efficiency of the proposed method was verified by the example of adopted dynamic system, including non-stationary. The amplifying coefficient is fairly simply selected by the type of stabilization process. The proposed method may be used in the control systems of rockets of various purpose for motion parameters regulation.

Key words: optimal control, regulation law, Langrangian multiplier, regulation cycle interval, amplifying coefficient

Bibliography:
1. Braison A., Kho Yu-Shi. Prikladnaia teoriia optimalnogo upravleniia. М., 1972.
2. Larin V. B. O stabiliziruiushchikh i antistabiliziruiushchikh resheniiakh algebraicheskikh uravnenii Rikkati. Problemy upravleniia i informatiki. 1996. №1-2.
3. Aleksandrov А. G. Optimalnye i additivnye sistemy. М., 1989.
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14.1.2020  On the problem of optimum control
14.1.2020  On the problem of optimum control
14.1.2020  On the problem of optimum control

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9.1.2020 Experimental investigation of a liner-free propellant tank made from polymer composite materials https://journal.yuzhnoye.com/content_2020_1-en/annot_9_1_2020-en/ Wed, 13 Sep 2023 10:43:08 +0000 https://journal.yuzhnoye.com/?page_id=31035
Experimental investigation of a liner-free propellant tank made from polymer composite materials Authors: Sidoruk А. Content 2020 (1) Downloads: 20 Abstract views: 938 Dynamics of article downloads Dynamics of abstract views Downloads geography Country City Downloads USA Boardman; Baltimore; Los Angeles; North Bergen; Monroe; Ashburn; Seattle; Ashburn; Seattle; Seattle; Portland; San Mateo 12 Singapore Singapore; Singapore; Singapore; Singapore; Singapore; Singapore; Singapore 7 Ukraine Dnipro 1 Downloads, views for all articles Articles, downloads, views by all authors Articles for all companies Geography of downloads articles Sidoruk А. Experimental investigation of a liner-free propellant tank made from polymer composite materials Автори: Sidoruk А. Experimental investigation of a liner-free propellant tank made from polymer composite materials Автори: Sidoruk А. Experimental investigation of a liner-free propellant tank made from polymer composite materials Автори: Sidoruk А.
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9. Experimental investigation of a liner-free propellant tank made from polymer composite materials

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2020, (1); 90-98

DOI: https://doi.org/10.33136/stma2020.01.090

Language: Russian

Annotation: The exploratory and experimental investigations were conducted into design of propellant tank made of composite polymer materials for work in cryogenic environment at operating pressure of 7.5 kgf/cm2 . When determining the configuration of a liner-free composite propellant tank, the main requirement was ensuring its leak-tightness at internal excess pressure and cryogenic temperature effect. The world experience of creating similar designs was analyzed and the requirements were defined imposed on configuration of propellant tank load-bearing shells. Before defining the final configuration, the types of materials, reinforcing patterns, and possible ways to ensure leak-tightness were analyzed, and preliminary tests were conducted of physical and mechanical characteristics of thin-wall samples of composite materials and tubular structures with different reinforcing patterns. The tests of carbon plastic samples were conducted at different curing modes to determine the most effective one from the viewpoint of strength characteristics and the tests for permeability by method of mouthpiece were conducted. The tests of pilot propellant tank showed that the calculated values of deformations and displacements differ from the experimental values by no more than 10 %. Using the parameters measurement results from the tests on liquid nitrogen, the empirical formulas were obtained to calculate linear thermal expansion coefficient of the package of materials of load -bearing shell. The empirical dependences were constructed of relative ring deformations at load-bearing shell middle section on pressure and temperature. The tests confirmed correctness of adopted solutions to ensure strength and leak-tightness of propellant tank load-bearing shell at combined effect on internal excess pressure and cryogenic temperature, particularly at cyclic loading. The materials used and propellant tank manufacturing technologies ensure leak-tightness of load-bearing shell at liquid nitrogen operating pressure of 7.5 kgf/cm2 and strength at excess pressure of 15 kgf/cm2 and allow conducting approbation of prospective stage of the integrated launch vehicle.

Key words: load-bearing shell, permeability, cryogenic propellant, relative deformations, linear thermal expansion coefficient

Bibliography:
1. Frantsevich I. М., Karpinos D. М. Kompozitsionnye materialy voloknistogo stroeniia. K., 1970.
2. TSM YZH ANL 009 00. Composite fuel tank for ILV, Dnipro, Yuzhnoye SDO, 2019.
3. Zheng H., Zeng X., Zhang J., Sun H. The application of carbon fiber composites in cryotank. Solidification. 2018. https://doi.org/10.5772/intechopen.73127
Downloads: 20
Abstract views: 
938
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USA Boardman; Baltimore; Los Angeles; North Bergen; Monroe; Ashburn; Seattle; Ashburn; Seattle; Seattle; Portland; San Mateo12
Singapore Singapore; Singapore; Singapore; Singapore; Singapore; Singapore; Singapore7
Ukraine Dnipro1
9.1.2020  Experimental investigation of a liner-free propellant tank made from polymer composite materials
9.1.2020  Experimental investigation of a liner-free propellant tank made from polymer composite materials
9.1.2020  Experimental investigation of a liner-free propellant tank made from polymer composite materials

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19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles https://journal.yuzhnoye.com/content_2018_2-en/annot_19_2_2018-en/ Thu, 07 Sep 2023 12:23:58 +0000 https://journal.yuzhnoye.com/?page_id=30801
, Sidoruk V. I., Sidoruk V. I., Sidoruk V. I., Sidoruk V. I., Sidoruk V. I., Sidoruk V. I., Sidoruk V.
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19. Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2018 (2); 157-172

DOI: https://doi.org/10.33136/stma2018.02.157

Language: Russian

Annotation: The measurement errors upon conducting flight tests for launch vehicles are evaluated by considering the interferences and uncertainties in the measurement system procedure. Formal use of this approach can lead to unpredictable consequences. More reliable evaluation of errors upon conducted measurements can be achieved if the measurement process is regarded as a procedure of successive activities for designing, manufacturing, and testing the measurement system and the rocket including measurements and their processing during the after-flight analysis of the received data. The sampling rates of the main controlled parameters are three to ten times higher than the frequency range of their changing. Therefore, it is possible to determine the characteristics of the random error components directly on the basis of registered data. The unrevealed systematic components create the basic uncertainty in the evaluation of the examined parameter’s total measurement error. To evaluate the precision and measurement accuracy of a particular launch, the article suggests specifying the preliminary data on measurement error components determined during prelaunch processing and launch. Basic structures of algorithms for evaluation of precision and measurement accuracy for certain mathematical models that form the measured parameters were considered along with the practical case when static correlation existed among the measured parameters.

Key words: flight tests, sensor, measurement error, mathematical model

Bibliography:
1. Novitsky P. V., Zograf I. A. Evaluation of Measurement Errors. L., 1985. 248 p.
2. Shmutzer E. Relativity Theory. Modern Conception. Way to Unity of Physics. М., 1981. 230 p.
3. Blekhman I. I., Myshkis A. D., Panovenko Y. G. Applied Mathematics: Subject, Logic, Peculiarities of Approaches. К., 1976. 270 p.
4. Moiseyev N. N. Mathematical Problems of System Analysis. М., 1981. 488 p.
5. Bryson A., Ho Yu-Shi. Applied Theory of Optimal Control. М., 1972. 544 p.
6. Yevlanov L. G. Monitoring of Dynamic Systems. М., 1972. 424 p.
7. Sergiyenko A. B. Digital Signal Processing: Collection of publications. 2011. 768 p.
8. Braslavsky D. A., Petrov V. V. Precision of Measuring Devices. М., 1976. 312 p.
9. Glinchenko A. S. Digital Signal Processing: Course of lectures. Krasnoyarsk, 2008. 242 p.
10. Garmanov A. V. Practice of Optimization of Signal-Noise Ratio at ACP Connection in Real Conditions. М., 2002. 9 p.
11. Denosenko V. V., Khalyavko A. N. Interference Protection of Sensors and Connecting Wires of Industrial Automation Systems. SТА. No. 1. 2001. P. 68-75.
12. Garmanov A. V. Connection of Measuring Instruments. Solution of Electric Compatibility and Interference Protection Problems. М., 2003. 41 p.
13. TP ACS Encyclopedia. bookASUTR.ru.
14. Smolyak S. A., Titarenko B. P. Stable Estimation Methods. М., 1980. 208 p.
15. Fomin A. F. et al. Rejection of Abnormal Measurement Results. М., 1985. 200 p.
16. Medich J. Statistically Optimal Linear Estimations and Control. М., 1973. 440 p.
17. Sage E., Mells J. Estimation Theory and its Application in Communication and Control. М., 1976. 496 p.
18. Filtration and Stochastic Control in Dynamic Systems: Collection of articles / Under the editorship of K. T. Leondes. М., 1980. 408 p.
19. Krinetsky E. I. et al. Flight Tests of Rockets and Spacecraft. М., 1979. 464 p.
20. Viduyev N. G., Grigorenko A. G. Mathematical Processing of Geodesic Measurements. К., 1978. 376 p.
21. Aivazyan S. A., Yenyukov I. S., Meshalkin L. D. Applied Statistics. Investigation of Dependencies. М., 1985. 487 p.
22. Sirenko V. N., Il’yenko P. V., Semenenko P. V. Use of Statistic Approaches in Analysis of Gas Dynamic Parameters in LV Vented Bays. Space Technology. Missile Armaments: Collection of scientific-technical articles. Issue 1. P. 43-47.
23. Granovsky V. A., Siraya T. N. Methods of Experimental Data Processing at Measurements. L., 1990. 288 p.
24. Zhovinsky A. N., Zhovinsky V. N. Engineering Express Analysis of Random Processes. М., 1979. 112 p.
25. Anishchenko V. A. Control of Authenticity of Duplicated Measurements in Uncertainty Conditions. University News. Minsk, 2010. No. 2. P. 11-18.
26. Anishchenko V. A. Reliability and Accuracy of Triple Measurements of Analog Technological Variables. University News. Minsk, 2017. No. 2. P. 108-117.
27. Shenk H. Theory of Engineering Experiment. М., 1972. 381 p.
28. Bessonov А. А., Sverdlov L. Z. Methods of Statistic Analysis of Automatic Devices Errors. L., 1974. 144 p.
29. Pugachyov V. N. Combined Methods to Determine Probabilistic Characteristics. М., 1973. 256 p. https://doi.org/10.21122/1029-7448-2017-60-2-108-117
30. Gandin L. S., Kagan R. L. Statistic Methods of Meteorological Data Interpretation. L., 1976. 360 p.
31. Zheleznov I. G., Semyonov G. P. Combined Estimation of Complex Systems Characteristics. М., 1976. 52 p.
32. Vt222М Absolute Pressure Sensor: ТU Vt2.832.075TU. Penza, 1983.
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USA Boardman; Baltimore; Plano; Monroe; Ashburn; Seattle; Seattle; Portland; San Mateo; Ashburn10
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19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles
19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles
19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles

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