Modeling random processes induced by the support surface profile in transport and technological systems
https://doi.org/10.22314/2073-7599-2023-17-3-61-66
Abstract
The research article demonstrates that agricultural transport and technological systems are susceptible to external random influences during their operation. By accurately describing and modeling these effects, the performance of the tool can be enhanced during the research and design stages. (Research purpose) The objective of this research is to generate random processes with predefined correlation functions that simulate the profile of the supporting surface under the wheels of agricultural transport and technological systems during operations. Additionally, the study aims to visually represent the resulting random implementations of the support surface profile height. (Materials and methods) The proposed approach considers the variation in support surface profile height along the trajectory of agricultural transport and technological systems, while maintaining a constant speed, as a stationary random process. The selection of the correlation function type and its parameters is dependent on the specific characteristics of the support surface. Subsequently, using the Matlab environment, the model for the support surface profile height under the wheels is developed. (Results and discussion) Successful implementations of support surface profile height have been achieved for two distinct scenarios: asphalt and wheat stubble. A comparative analysis is conducted between the correlation function of the simulated implementation of the random process and the original correlation function. (Conclusions) The proposed algorithm has demonstrated its capability to generate a random process with specified correlation function properties, accurately describing the height fluctuations of the support surface profile under the wheels of agricultural transport and technological systems. The adequacy of the algorithm has been confirmed through a comprehensive analysis of at least 50 implementations, highlighting its effectiveness and reliability.
About the Authors
Yu. P. Kornyushin
Bauman Moscow State Technical University (Kaluga Branch)
Russian Federation
Russian Federation
Yuri P. Kornyushin, Dr.Sc.(Eng.), professor
Kaluga
A. V. Lavrov
Federal Scientific Agroengineering Center VIM
Russian Federation
Russian Federation
Alexander V. Lavrov, Ph.D.(Eng.), head of laboratory
Moscow
A. V. Sidorova
Bauman Moscow State Technical University (Kaluga Branch)
Russian Federation
Russian Federation
Anastasia V. Sidorova, postgraduated
Kaluga
References
1. Lur’e A.B. Statisticheskaya dinamika sel’skokhozyaystvennykh agregatov [Statistical dynamics of agricultural aggregates]. Moscow: Kolos. 1981. 382 (In Russian)
2. Popov V.B. Matematicheskoe modelirovanie mobil’nogo sel’skokhozyaystvennogo agregata v rezhime transportnogo pereezda [Mathematical modeling of a mobile agricultural unit in the transport crossing mode]. Vestnik Gomel’skogo gosudarstvennogo tekhnicheskogo universiteta im. P.O. Sukhogo. 2005. N3(22). 13-18 (In Russian).
3. Proektirovanie polnoprivodnykh kolesnykh mashin [Design of all-wheel drive vehicles]. Moscow: MGTU im. N.E. Baumana. 2008. Vol. 1. 496 (In Russian).
4. Zheglov L.F. Spektral’nyy metod rascheta sistem podressorivaniya kolesnykh mashin [Spectral method for calculating suspension systems for wheeled vehicles]. Moscow: MGTU im. N.E. Baumana. 2009. 150 (In Russian).
5. Kotiev G.O., Sarach E.B. Kompleksnoe podressorivanie vysokopodvizhnykh dvukhzvennykh gusenichnykh mashin [Integrated suspension of highly mobile two-link tracked vehicles]. Moscow: MGTU im. N.E. Baumana. 2010. 184 (In Russian).
6. Sergienko A.N., Medvedev N.G., Lyubarskiy B.G., Belyaev S.N., Shushlyapin S.V. Metodika zadaniya nerovnostey profilya dorogi pri modelirovanii podveski avtomobilya s rekuperatorom energii kolebaniy [Technique for specifying road profile roughness when modeling a car suspension with a vibration energy recuperator]. Vistnik NTU «KHPI». Cepiya: Matematichne modelyuvannya v tekhnіtsі ta tekhnologіyakh. Kharkiv: 2013. N37. 185-192 (In Russian).
7. Rykov S.P., Bekirova R.S., Koval’ V.S. Modelirovanie sluchaynogo mikroprofilya avtomobil’nykh dorog [Modelling of casual microprofile of highways]. Sistemy. Metody. Tekhnologii. 2010. N4(8). 33-37 (In Russian).
8. Khachaturov A.A., Afanas’ev V.L., Vasil’ev V.S., Gol’din G.V., Dodonov B.M., Zhigarev V.P., Kol’tsov V.I., Yurik V.S., Yakovlev E.I. Dinamika sistemy doroga-shina-avtomobil’-voditel’ [Dynamics of the road-tire-car-driver system]. Moscow: Mashinostroenie. 1976. 535 (In Russian).
9. Bykov V.V. Tsifrovoe modelirovanie v statisticheskoy radiotekhnike [Digital Simulation in Statistical Radio Engineering]. Moscow: Sovetskoe radio. 1971. 328 (In Russian).
10. Metody statisticheskogo modelirovaniya v radiotekhnike [Methods of statistical modeling in radio engineering]. Sankt-Peterburg: Elektrosvyaz’. 2003. 36 (In Russian).
11. Lipatov I.N. Otsenka pogreshnosti modelirovaniya sluchaynogo protsessa s zadannoy korrelyatsionnoy funktsiey [Evaluation of the error in modeling a random process with a specified correlation function]. Vestnik Permskogo natsional’nogo issledovatel’skogo politekhnicheskogo universiteta. Elektrotekhnika, informatsionnye tekhnologii, sistemy upravleniya. 2010. N4. 82-87 (In Russian).
12. Prokhorov S.A. (editor). Prikladnoy analiz sluchaynykh protsessov [Applied analysis of random processes]. Samara: SNTS RAN. 2007. 582 (In Russian).
Review
For citations:
Kornyushin Yu.P., Lavrov A.V., Sidorova A.V. Modeling random processes induced by the support surface profile in transport and technological systems. Agricultural Machinery and Technologies. 2023;17(3):61-66. (In Russ.) https://doi.org/10.22314/2073-7599-2023-17-3-61-66
Views:
263
Email this article 