Search Results for “automation devices” – Collected book of scientific-technical articles https://journal.yuzhnoye.com Space technology. Missile armaments Tue, 02 Apr 2024 12:23:50 +0000 en-GB hourly 1 https://journal.yuzhnoye.com/wp-content/uploads/2020/11/logo_1.svg Search Results for “automation devices” – Collected book of scientific-technical articles https://journal.yuzhnoye.com 32 32 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
Precision of Measuring Devices. Interference Protection of Sensors and Connecting Wires of Industrial Automation Systems. Methods of Statistic Analysis of Automatic Devices Errors.
]]>

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.
Downloads: 39
Abstract views: 
1075
Dynamics of article downloads
Dynamics of abstract views
Downloads geography
CountryCityDownloads
USA Boardman; Matawan; Baltimore; Boydton; Plano; Miami; Phoenix; Phoenix; Phoenix; Phoenix; Monroe; Ashburn; Seattle; Seattle; Seattle; Ashburn; Seattle; Portland; Portland; San Mateo; Des Moines; Boardman; Ashburn23
Singapore Singapore; Singapore; Singapore; Singapore; Singapore5
Indonesia Jakarta1
China Shanghai1
Finland Helsinki1
Unknown1
Great Britain London1
Canada Monreale1
Germany Falkenstein1
Romania Voluntari1
Netherlands Amsterdam1
Belarus Hrodna1
Ukraine Dnipro1
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

Keywords cloud

Your browser doesn't support the HTML5 CANVAS tag.
]]>
21.1.2019 Optimization of Geometrical Shape of Isolation Valve Blading Position https://journal.yuzhnoye.com/content_2019_1-en/annot_21_1_2019-en/ Wed, 24 May 2023 16:00:50 +0000 https://journal.yuzhnoye.com/?page_id=27726
Key words: automation devices , valve , launch vehicle , design optimization , ANSYS CFX Bibliography: 1. automation devices , valve , launch vehicle , design optimization , ANSYS CFX .
]]>

21. Optimization of Geometrical Shape of Isolation Valve Blading Position

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2019, (1); 144-148

DOI: https://doi.org/10.33136/stma2019.01.144

Language: Russian

Annotation: One of the main design parameters of the automatic equipment in the launch vehicle’s pneumohydraulic systems is the flow friction characteristic, which represents the proportionality factor between the automatic equipment pressure differential and velocity head. The flow friction characteristic of the completely open automatic device should have very small value with required dimensions and mass. With decrease of the pressure losses, the required upstream pressure of the propulsion system is ensured with smaller pressurization of the tanks. It results in the decrease of the required pressurization gas volume, which boosts reduction of the performance of the launch vehicle as a whole. This paper describes the method of reduction of the flow friction characteristic of the dividing valve, optimizing the geometric shape of the flow passage. The problem of minimization of the valve’s flow friction characteristic is considered with the specified mass and design dimensions restrictions. The initial design of the valve was developed, taking into account the specified requirements, literature references and parameters of the analogue units. With the goal of optimization various options of valve design were considered, different from the initial design in configuration of the inlet and discharge nozzles, notably various angle sizes, forming the stream profile, and lengths of the direct-flow sections. Four options of the valve design were calculated using numerical methods of ANSYS CFX software. Navier – Stokes equations and k-ω SST turbulence model were used. Based on the calculations results the optimal design was selected. Initial design of the valve was compared with the optimal one. The flow friction characteristic of the optimal valve design decreased by 26 % in comparison with initial design with insignificant change of mass and dimensions. The design of the developed dividing valve can be involved in the design of the new launch vehicles.

Key words: automation devices, valve, launch vehicle, design optimization, ANSYS CFX

Bibliography:
1. Gurevich D. F. Raschet i konstruirovanie truboprovodnoi armatury: Raschet truboprovodnoi armatuty. 5-e izd. M.: Izd-vo LKI, 2008. 480 p.
2. Yanshin B. I. Hydrodynamicheskie characteristiki zatvorov i elementov truboprovodov. M.: Mashinostroenie, 1965. 259 p.
3. Idelchik I. Ye. Spravochnik po hydrovlicheskim soprotivleniyam / Pod red. M. O. Steinberga. 3-e izd., pererab. i dop. M.: Mashinostroenie, 1992. 672 p.
4. Ansys CFX Solver Theory Guide [Electronniy resurs] / ANSYS Inc., 2012. Rezhim dostupa: http://www1.ansys.com/customer/content/ documentation/180/cfx_thry.pdf.
Downloads: 36
Abstract views: 
532
Dynamics of article downloads
Dynamics of abstract views
Downloads geography
CountryCityDownloads
USA Baltimore; Plano; Dublin; Columbus; Columbus; Phoenix; Monroe; Ashburn; Ashburn; Boardman; Seattle; Tappahannock; Portland; San Mateo; Ashburn; Des Moines; Boardman; Boardman; Ashburn; Ashburn20
Singapore Singapore; Singapore; Singapore; Singapore; Singapore; Singapore; Singapore7
Unknown;2
Canada Toronto; Toronto2
Ukraine Dnipro; Odessa2
Germany Falkenstein1
Romania Voluntari1
Netherlands Amsterdam1
21.1.2019 Optimization of Geometrical Shape of Isolation Valve Blading Position
21.1.2019 Optimization of Geometrical Shape of Isolation Valve Blading Position
21.1.2019 Optimization of Geometrical Shape of Isolation Valve Blading Position

Keywords cloud

Your browser doesn't support the HTML5 CANVAS tag.
]]>