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Simulation of a robotic device for maintenance of the feed table at cattle breeding complexes

https://doi.org/10.30766/2072-9081.2022.23.1.117-125

Abstract

This study was conducted in 2020-2021. During the research, the Russian and foreign literature devoted to the technological features of cattle feeding was analyzed, the experience of the production of technical facilities for feeding dairy and meat cattle by the companies of JSC "SMZ-Slobodskoy", Wasserbauer, Delaval, Afimilk, GEA Farm, Lely, etc. was studied. This research is aimed at simulation modeling of a robotic device for feed table maintenance at livestock complexes, using Simulink tools in the Matlab environment, in order to facilitate the modernization of the device or optimize the cost of system elements and reduce production costs. At the stage of designing the robot, a kinematic analysis of motion was performed with the construction of mathematical dependencies and displaying of the calculation scheme. To describe the dynamic characteristics of the device, the Appel equation was used, presented in matrix form, the trajectory of the robot's movement was theoretically set, and the deviation of its center of mass from the reference points was tracked. The maximum deviation level was 0.03 m. Based on the simulation model, an experimental sample with a controlled feed additive dispenser was developed, which can significantly facilitate the feeding process and optimize the dosing of concentrated additives. Currently, the experimental sample is being prepared for testing on a dairy farm.

About the Author

E. A. Nikitin
Federal Scientific Agroengineering Center VIM
Russian Federation

 postgraduate, junior researcher

5, 1st Institutsky proezd, Moscow, Russian Federation, 109428 



References

1. Nabokov V. I., Novopashin L. A., Denyozhko L. V., Sadov A. A., Ziablitckaia N. V., Volkova S. A., Speshilova I. V. Applications of feed pusher robots on cattle farmings and its economic efficiency. International transaction journal of engineering management & applied sciences & technologies. 2020;11(14):11A14D. DOI: https://doi.org/10.14456/itjemast.2020.270

2. Bargo F., Muller L. D., Delahoy J. E., Cassidy T. W. Milk response to concentrate supplementation of high producing dairy cows grazing at two pasture allowances. Journal of dairy science. 2002;85(7):1777-1792. DOI: https://doi.org/10.3168/jds.S0022-0302(02)74252-5

3. Nikitin E. A. Sistema robotizirovannogo obsluzhivaniya kormovogo stola na zhivotnovodcheskikh kompleksakh. [Food table robotic maintenance system at animal production units]. Tekhnika i oborudovanie dlya sela = Machinery and Equipment for Rural Area. 2020;(6 (276)):26-30. (In Russ.). DOI: https://doi.org/10.33267/2072-9642-2020-6-26-30

4. Bach A., Cabrera V. Robotic milking: Feeding strategies and economic returns. Journal of dairy science. 2017;100(9):7720-7728. DOI: https://doi.org/10.3168/jds.2016-11694

5. Kuzmina I. Yu., Ignatovich L. S. Obogashchenie ratsionov molodnyaka krupnogo rogatogo skota natural'noy biologicheski aktivnoy kormovoy dobavkoy. [Enriching the diets of young cattle with a natural biologically active feed additive]. Agrarnaya nauka Evro-Severo-Vostoka = Agricultural Science Euro-North-East. 2021;22(1):94-103. (In Russ.). DOI: https://doi.org/10.30766/2072-9081.2021.22.1.94-103

6. Karakchieva E. F., Lobanov A. Yu. Sozdanie travosmesey dlya povysheniya produktivnosti i pitatel'noy tsennosti v polevom kormoproizvodstve v usloviyakh Respubliki Komi. [Creation of grass mixtures for increasing productivity and nutritional value in the field fodder production in conditions of Republic of Komi]. Agrarnaya nauka Evro-Severo-Vostoka = Agricultural Science Euro-North-East. 2017;(4):30-32. (In Russ.). DOI: https://doi.org/10.30766/2072-9081.2017.59.4.30-32

7. Miller-Cushon E. K., DeVries T. J. Feed sorting in dairy cattle: Causes, consequences, and management. J. Dairy Sci. 2017;100(5):4172-4183. DOI: https://doi.org/10.3168/jds.2016-11983

8. Bloch V., Levit H., Halachmi I. Assessing the potential of photogrammetry to monitor feed intake of dairy cows. Journal of Dairy Research. 2019;86(1):34-39. DOI: https://doi.org/10.1017/S0022029918000882

9. Halachmi I., Meir Y. B., Miron J., Maltz E. Feeding behavior improves prediction of dairy cow voluntary feed intake but cannot serve as the sole indicator. Animal. 2016;10(9):1501-1506. DOI: https://doi.org/10.1017/S1751731115001809

10. Nikitin E. A., Semenyuk V. S. Analiz problem effektivnogo prigotovleniya kormovoy smesi v sovremennom zhivotnovodstve. [Analysis of feed mixture effective preparation’s problems in the modern farming]. Vestnik Vserossiyskogo nauchno-issledovatel'skogo instituta mekhanizatsii zhivotnovodstva. 2019;(2 (34)):158-163. (In Russ.). URL: http://imzhpro.ru/wp-content/uploads/n34.pdf

11. Nikitin E. A. Tekhniko-tekhnologicheskiy analiz sistem prigotovleniya kormovoy smesi dlya KRS. [Technological analysis of systems of preparation of feed mixtures for cattle]. Innovatsii v sel'skom khozyaystve. 2019;(2(31)):53-61. (In Russ.). URL: https://elibrary.ru/item.asp?id=38583647

12. Dorokhov A. S., Sibirev A. V., Aksenov A. G. Dynamic systems modeling using artificial neural networks for agricultural machines. Inmateh-Agricultural Engineering. 2019;58(2):63-74. URL: https://oaji.net/articles/2019/1672-1567792772.pdf

13. Rumba R., Nikitenko A. Development of free-flowing pile pushing algorithm for autonomous mobile feed-pushing robots in cattle farms. Engineering for Rural Development. 2018. pp. 958-963. DOI: https://doi.org/10.22616/ERDev2018.17.N477

14. Gribkov A. M., Shilin D. V. Matematicheskoe modelirovanie manipulyatora tipa tripod na baze besshtokovykh pnevmaticheskikh privodov. [Mathematical modelling of tripod type manipulator based on rodless pneumatic actuators]. Izvestiya vysshikh uchebnykh zavedeniy. Mashinostroenie = BMSTU Journal of Mechanical Engineering. 2011;(9):3-10. (In Russ.). URL: https://elibrary.ru/item.asp?id=17051611

15. Tsai S. H., Kao L. H., Lin H. Y., Lin T. C., Song Y. L., Chang L. M. A sensor fusion based nonholonomic wheeled mobile robot for tracking control. Sensors. 2020;20(24):7055. DOI: https://doi.org/10.3390/s20247055

16. Wang F. J., Qin Y., Guo F., Ren B., Yeow J. T. W. Adaptive visually servoed tracking control for wheeled mobile robot with uncertain model parameters in complex environment. Complexity. 2020;2020:8836468. DOI: https://doi.org/10.1155/2020/8836468

17. Xin L. J., Wang Q. L., She J. H., Li Y. Robust adaptive tracking control of wheeled mobile robot. Robotics and Autonomous Systems. 2016;78:36-48. DOI: https://doi.org/10.1016/j.robot.2016.01.002

18. Shtessel Y., Taleb M., Plestan F. A novel adaptive-gain supertwisting sliding mode controller: Methodology and application. Automatica. 2012;48(5):759-769. DOI: https://doi.org/10.1016/j.automatica.2012.02.024


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For citations:


Nikitin E.A. Simulation of a robotic device for maintenance of the feed table at cattle breeding complexes. Agricultural Science Euro-North-East. 2022;23(1):117-125. (In Russ.) https://doi.org/10.30766/2072-9081.2022.23.1.117-125

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ISSN 2072-9081 (Print)
ISSN 2500-1396 (Online)