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DOI: 10.15507/2658-4123.031.202101.127-142
Digital Data Processing Methods for Estimating Tractive Force of Tractors
Vyacheslav F. Fedorenko
Scientific Director of Rosinformagrotech (60 Lesnaya St., Pravdinskiy 141261, Russian Federation), Academician of RAS, D.Sc. (Engineering), Professor, Researcher ID: A-9022-2018, ORCID: https://orcid.org/0000-0001-6398-4463, This email address is being protected from spambots. You need JavaScript enabled to view it.
Vitaly E. Tarkivskiy
Head of the Laboratory for Development of Measuring Instruments and Software, Novokubansk Branch of Rosinformagrotech (15 Krasnaya St., Novokubansk 352243, Russian Federation), D.Sc. (Engineering), Researcher ID: W-4417-2017, ORCID: https://orcid.org/0000-0002-8488-0011, This email address is being protected from spambots. You need JavaScript enabled to view it.
Nikolay P. Mishurov
Deputy Director for Scientific Work, Rosinformagrotech (60 Lesnaya St., Pravdinskiy 141261, Russian Federation), Cand.Sc. (Engineering), Researcher ID: A-8970-2018, ORCID: https://orcid.org/0000-0002-1058-6952, This email address is being protected from spambots. You need JavaScript enabled to view it.
Nikolay V. Trubitsyn
Leading Researcher, Novokubansk Branch of Rosinformagrotech (15 Krasnaya St., Novokubansk 352243, Russian Federation), Cand.Sc. (Engineering), Researcher ID: W-4426-2017, ORCID: https://orcid.org/0000-0001-7451-9831, This email address is being protected from spambots. You need JavaScript enabled to view it.
Introduction. When carrying out an energy assessment of agricultural machines and traction tests of tractors, the most important indicator is the value of the tractive effort. The existing methods for determining the tractive effort of tractors imply the use of specialized measuring instruments, such as strain gauges and devices for processing and displaying information. The accuracy of determining the tractive effort is significantly influenced by the physical and mechanical properties of soil. To process the useful signal during the measurement of tractive effort, the data stream of the strain gauge sensor must be subjected to additional digital filtering taking into account the operating conditions of the agricultural unit.
Materials and Methods. The functions of changing the tractive effort obtained on the K-744R2 tractor in various gears have been analyzed. An algorithm for digital processing of the signal of a strain gauge force meter based on a median filter has been developed that makes it possible to increase the measurement accuracy. The advantage of the proposed method is the ability to cut off sharp short-term impulse noise and sharp fluctuations in the amplitude of the measured value.
Results. A method for determining the amount of tractive effort using median signal processing has been proposed. A device for determining the tractive effort during testing of agricultural tractors and units has been developed. The choice of the main components of the device for determining the magnitude of the tractive effort has been substantiated. As a result of the research, a device for measuring and digital processing of the signal of a force meter based on a microcontroller and specialized software for processing initial data in real time was designed and manufactured.
Discussion and Conclusion. The developed method makes it possible to exclude the negative effect of impulse noise arising in the process of measuring the tractive effort of the tractor. The proposed device for measuring the tractive effort of tractors is compatible at the level of the exchange protocol with existing devices, has a high speed of operation in real time, multi-channel operation.
Keywords: tests, tractive force, digital filter, pulse interference, strain gauge, measuring system
Conflict of interest: The authors declare no conflict of interest.
For citation: Fedorenko V.F., Tarkivskiy V.E., Mishurov N.P., et al. Digital Data Processing Methods for Estimating Tractive Force of Tractors. Inzhenerernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2021; 31(1):127-142. DOI: https://doi.org/10.15507/2658-4123.031.202101.127-142
Contribution of the authors:
V. F. Fedorenko – scientific guidance, formulation of the basic research concept.
V. E. Tarkivskiy – scientific guidance, formulation of the basic concept of research, experimental research, critical analysis of the results, preparation of the initial version of the text and the formation of conclusions.
N. P. Mishurov – formulation of the main concept of research, finalization of the text.
N. V. Trubitsyn – literary and patent analysis, experimental research, text editing.
All authors have read and approved the final manuscript.
Submitted 17.08.2020; approved after reviewing 20.10.2020;
accepted for publication 27.10.2020
REFERENCES
1. Trubitsin N.V., Tarkivsky V.E. Modern Microprocessor Systems for Testing Facilities Development. Tekhnika i oborudovanie dlya sela = Machinery and Equipment for Rural Area. 2013; (12):31-32. Available at: https://rosinformagrotech.ru/data/tos/arkhiv-zhurnala-besplatnyj-dostup/download/60-arkhiv-zhurnala-za-2013/401-tekhnika-i-oborudovanie-dlya-sela-dekabr-12-198-2013-g (accessed 08.02.2021). (In Russ.)
2. Arzhenovskiy A.G., Kozlov D.S., Petrishchev N.A. Determining the Traction Characteristic of a Tractor in Operating Conditions. Selskokhozyaystvennye mashiny i tekhnologii = Agricultural Machinery and Technologies. 2018; (5):25-30. (In Russ.) DOI: https://doi.org/10.22314/2073-7599-2018-12-5-25-30
3. Dzhabborov N.I., Maksimov D.A., Semenova G.A. Assessment of Traction and Dynamic Indicators of Soil Tilling Units. Tekhnologii i tekhnicheskie sredstva mekhanizirovannogo proizvodstva produktsii rastenievodstva i zhivotnovodstva = Technologies and Technical Means of Mechanized Production of Crop and Livestock Products. 2017; (93):53-64. Available at: https://e.lanbook.com/reader/journalArticle/401479/#1 (accessed 08.02.2021). (In Russ.)
4. Fedorenko V.F., Trubitsyn N.V., Tarkivskiy V.Ye., et al. [Unique system]. Informatsionnyy byulleten = Newsletter. 2017; (8):45-47. Available at: https://rosinformagrotech.ru/data/byulleten/arkhivvypuskov/download/35-arkhiv-vypuskov-za-2017-god/317-avgust (accessed 08.02.2021). (In Russ.)
5. Kosulnikov R.A., Karsakov A.A., Fomin S.D., et al. Method of Increasing the Accuracy of Measurement of the Drive Resistance in the Outboard Accessories of the Tractor. Izvestiya nizhnevolzhskogo agrouniversitetskogo kompleksa: nauka i vysshee professionalnoe obrazovanie = Proceedings of Nizhnevolzskiy Agrouniversity Complex: Science and Higher Vocational Education. 2018; (1):326-333. Available at: http://www.volgau.com/Portals/0/izv_auk/izv_auk_full/izvestiya_2018_49_1.pdf?ver=2018-03-26-143653-023 (accessed 08.02.2021). (In Russ.)
6. Shilin D.V., Shestov D.A., Ganin P.E. Improving the Accuracy of Weighing Bulk Materials in a Dispenser On-Stream Flow Meter with Two Strain Gauges. Vestnik Moskovskogo energeticheskogo instituta = Bulletin of the Moscow Power Engineering Institute. 2019; (3):116-123. (In Russ.) DOI: https://doi.org/10.24160/1993-6982-2019-3-116-123
7. Pahomenkov Y.M. Converter Signals of the Bridge Strain Gauges. Sistemy upravleniya i obrabotki informatsii = Control and Information Processing Systems. 2017; (1):80-93. Available at: https://www.avrorasystems.com/upload/iblock/ef2/ef288dc4bda27d1b9dd828ef1786c97e.pdf (accessed 08.02.2021). (In Russ.)
8. Zelentsov Yu.A., Zelentsov V.Yu. [Investigation of the Effect of Thermal Compensation Schemes for Initial Unbalance Drift of Bridge Circuits on the Output Signal of a Strain Gauge]. Metrologiya = Metrology. 2007; (4):39-47. Available at: https://elibrary.ru/item.asp?id=15245956 (accessed 08.02.2021). (In Russ.)
9. Kostyuchenko V.I. [Specific Traction Force of the Wheeled Tractor, Optimal in Terms of Traction Efficiency]. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta = South Ural State University Bulletin. 2011; (31):49-53. Available at: https://www.susu.ru/sites/default/files/v_31_248_2011.pdf (accessed 08.02.2021). (In Russ.)
10. Lashova S.S., Kleveko V.I. Derivation of the Dependence of the Relative Elongation Arising in the Strain Gauge Sensor on Its Geometric Parameters. Sovremennye tekhnologii v stroitelstve. Teoriya i praktika = Modern Technologies in Construction. Theory and Practice. 2017; 2:115-120. Available at: https://www.elibrary.ru/item.asp?id=35090189 (accessed 08.02.2021). (In Russ.)
11. Melnik V.I., Chygryna S.A. Matching Tractor Traction Capabilities and Working Resistance Tillers. Іnzhenerіya prirodokoristuvannya = Engineering of Nature Management. 2016; (2):113-118. Available at: http://enm.khntusg.com.ua/index.php/enm/article/view/178/144 (accessed 08.02.2021). (In Russ.)
12. Arzhenovskiy A.G. Development of Methods and Means for Determining Traction-Dynamic and Fuel-Economic Parameters of the Tractor under Operating Conditions. Traktory i selkhozmashiny = Tractors and Agricultural Machinery. 2017; (11):29-35. Available at: https://old.mospolytech.ru/storage/f033ab37c30201f73f142449d037028d/files/Traktory_i
13. Avrorov V.A., Volkov V.V., Nikolaev V.S., et al. [Analysis of the Conversion Function of a Strain Gauge Type Fiber Tape Linear Density Sensor]. Izvestiya vysshikh uchebnykh zavedeniy. Tekhnologiya tekstilnoy promyshlennosti = Proceedings of Higher Educational Institutions. Technology of Textile Industry. 2009; (2):83-86. Available at: https://ttp.ivgpu.com/?page_id=2526 (accessed 08.02.2021). (In Russ.)
14. Kulikova M.V., Kulikov G.Yu. Numerical Methods for Nonlinear Filtering of Signals and Measurements. Vychislitelnye tehnologii = Computational Technologies. 2016; 21(4):64-98. Available at: http://www.ict.nsc.ru/jct/getfile.php?id=1744 (accessed 08.02.2021). (In Russ.)
15. Khafizov K.A., Khafizov R.N., Nurmiev A.A, et al. Theoretical Background of Creating a Mathematical Model of Tractor Traction Efficiency. Vestnik Kazanskogo gosudarstvennogo agrarnogo universiteta = Vestnik of Kazan State Agrarian University. 2019; 14(3):116-121. (In Russ.) DOI: https://doi.org/10.12737/article_5db9748fc053c2.28431294
16. Chethan C.R., Tewari V.K., Nare B., et al. Transducers for Measurement of Draft and Torque of Tractor-implement System. Agricultural Mechanization in Asia, Africa and Latin America. 2018; 49(4):81-87. Available at: https://clck.ru/TCgBc (accessed 08.02.2021). (In Russ.)
17. Rovira-Más F. Sensor Architecture and Task Classification for Agricultural Vehicles and Environments. Sensors. 2010; 10(12):11226-11247. (In Eng.) DOI: https://doi.org/10.3390/s101211226
18. Marcovich L.A. Inferences from Optimal Filtering Equation. Lithuanian Mathematical Journal. 2015; (7). (In Eng.) DOI: https://doi.org/10.1007/s10986-015-9289-5
19. Kulikova M.V., Tsyganova J.V. Constructing Numerically Stable Kalman Filter‐Based Algorithms for Gradient‐Based Adaptive Filtering. International Journal of Adaptive Control and Signal Processing. 2015; 29(11):1411-1426. (In Eng.) DOI: https://doi.org/10.1002/acs.2552
20. Tarkivsky V.E., Trubitsin N.V. Digital Data Processing of Agricultural Machinery during Strain Measurement. Technika v selskom hozyaystve = Machinery in Agriculture. 2016; (1):28-30. Available at: https://clck.ru/TPwuP (accessed 08.02.2021). (In Russ.)
21. Fedorenko V.F., Tarkivsky V.E. Digital Filtration Method for Determining Traction Power of Agricultural Tractors. Tekhnika i oborudovanie dlya sela = Machinery and Equipment for Rural Area. 2019; (1):8-10. Available at: https://rosinformagrotech.ru/data/tos/content/mera-259-2 (accessed 08.02.2021). (In Russ.)
22. Tarkivsky V.E., Trubitsyn N.V., Voronin E.S. Software for Measurement Information Systems for Agricultural Machinery Testing. Tekhnika i oborudovanie dlya sela = Machinery and Equipment for Rural Area. 2019; (1):12-15. (In Russ.) DOI: https://doi.org/10.33267/2072-9642-2019-9-12-15
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