ESTIMATION OF HELICOPTER BLADE POSITION BY MEANS OF TWO-CHANNEL MEASURING SYSTEM
Abstract
The main difficulty is that blade is a highly dynamic moving object.This work suggests two-channel measuring system of helicopter blades position. This measuring system consists of strain-gauge and optical measuring channels. The optical measuring system is based on high-speed camera and computer unit, which processes received video frames with blade image. The strain-gauge measuring system consists of strain sensors (located on the blade face) and of strain-gauge station, which records measurements and transmits them to the computer unit via radio channel for further analysis. The two-channel system concept was designed and device-algorithmic part of optical and strain-gauge channels was developed.Problems of the optical measuring channel, connected with low image contrast between blade and image background, blades identification and their position estimation were solved. For the strain-gauge measuring channel, a model of measurement translation from intrinsic frame of reference into helicopter frame of reference was suggested and measurement transmission system via radio channel to the computer unit was developed.The operational integrity and physical realizability of suggested two-channel system on research facility unit were inquired. The optical channel made measurements of two blades location, the strain-gauge channel made measurements only of that blade which had been equipped with sensors. The results of the research validated physical realizability of sug-gested two-channel measuring system.
About the Authors
V. A. Anikin
PLC "Kamov"
Russian Federation
Russian Federation
Doctor of Science, Chief designer,
Lyubertsy
N. V. Kim
Moscow Aviation Institute (National Research University)
Russian Federation
Russian Federation
PhD, Professor,
Moscow
P. D. Prokhorov
Moscow Aviation Institute (National Research University)
Russian Federation
Russian Federation
PhD student,
Moscow
References
1. Leont'ev V.A. Metod resheniya uravnenii dvizheniya uprugikh lopastei vertoletnykh vintov v obshchem sluchae dvizheniya [Solution method of flexible blade equation of motion in general motion case]. Uchenye zapiski TsAGI [TsAGI Scientists notes], 2010, V. XLI, no. 5, pp. 67–80. (in Russian)
2. Anikin V.A., Kim N.V., Prokhorov P.D. Nekotorye voprosy sozdaniya skorostnogo BLA vertoletnogo tipa [Some questions about helicopter type pilotless aircraft creation] Materialy devyatoi nauchno-prakticheskoi konferentsii "Perspektivnye sistemy i zadachi upravleniya" i chetvertoi molodezhnoi shkoly seminara "Upravlenie i obrabotka informatsii v tekhnicheskikh sistemakh" [Materials ninth scientific conference "Perspective and management tasks" and the fourth school youth seminar "Management and processing of information in technical systems"]. Taganrog. 2014. Pp. 219–226. (in Russian)
3. Radioelektronnye sistemy: Osnovy postroeniya i teoriya [Radioelectronic systems: Fundamentals and theory. Handbook]. Pod red. Ya.D. Shirmana [2d edition, revised and added. Ed. Ya.D. Shirmana]. Moscow. Radiotekhnika [Radio Engineering]. 2007. 512 p. (in Russian)
4. Yakushenkov Yu.G. Teoriya i raschet optiko-elektronnykh priborov: uchebnik dlya studentov vuzov [Theory and calculation of optical-electronic devices: College textbook. The 4th edition, revised and added].
5. Karasik V.E., Orlov V.M. Lokatsionnye lazernye sistemy videniya [Laser vision systems: Teaching guide]. Moscow. Izd-vo MGTU im. N.E. Baumana [Bauman MGTU Publising House]. 2013. 478 p. (in Russian)
6. Belotserkovskii G.B. Osnovy radiolokatsii i radiolokatsionnye ustroistva [Fundamentals of radar and radar installations]. Moscow. Sov. radio [Soviet radio]. 1975. 336 p. (In Russian)
7. Nemets I. Prakticheskoe primenenie tenzorezistorov [Resistive-strain sensors application]. Moscow. Energiya. 1970. 180 p. (in Russian)
8. Forsait David A., Pons Zhan. Komp'yuternoe zrenie. Sovremennyi podkhod [Computer Vision. A Modern Approach]. Moscow. Izdatel'skii dom "Vil'yams" [Translation from English. Publishing House "Williams"]. 2004. 928 p. (in Russian)
9. Vizil'ter Yu.V., Zheltov S.Yu. i dr. Obrabotka i analiz izobrazhenii v zadachakh mashinnogo zreniya: kurs lektsii i prakticheskikh zanyatii [Image procession and analysis in computer vision challenges: Course of lectures and practice]. Moscow. Fizmatkniga [Physical and Mathematical publ]. 2010. 672 p. (in Russian)
10. Greshilov A.A., Stakun V.A., Stakun A.A. Matematicheskie metody postroeniya prognozov [Mathematical methods of estimation]. Moscow. 1997. 112 p. (in Russian)
Review
For citations:
Anikin V.A., Kim N.V., Prokhorov P.D. ESTIMATION OF HELICOPTER BLADE POSITION BY MEANS OF TWO-CHANNEL MEASURING SYSTEM. Civil Aviation High Technologies. 2016;19(6):77-85. (In Russ.)
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