PDF To download article.

DOI: 10.15507/2658-4123.031.202104.609-627

 

Integrated Mobile Robotic Platform Model

 

Mikhail V. Chugunov
Head of the Chair of Design and Technology Informatics of Ruzaevka Institute of Mechanical Engineering, National Research Mordovia State University (68 Bolshevistskaya St., Saransk 430005, Russian Federation), Cand.Sci. (Engr.), Associate Professor, ORCID: https://orcid.org/0000-0001-5318-5684, Researcher ID: H-7452-2018, This email address is being protected from spambots. You need JavaScript enabled to view it.

Irina N. Polunina
Associate Professor of the Chair of Design and Technology Informatics of Ruzaevka Institute of Mechanical Engineering, National Research Mordovia State University (68 Bolshevistskaya St., Saransk 430005, Russian Federation), Cand.Sci. (Ped.), ORCID: https://orcid.org/0000-0002-1093-8401, Researcher ID: H-7473-2018, This email address is being protected from spambots. You need JavaScript enabled to view it.

Alexander G. Divin
Professor of the Chair of Mechatronics and Technological Measurement, Tambov State Technical University (106 Sovetskaya St., Tambov 392000, Russian Federation), Dr.Sci (Engr.),, ORCID: https://orcid.org/0000-0001-7578-0505, Researcher ID: G-5718-2017, This email address is being protected from spambots. You need JavaScript enabled to view it.

Aleksandra A. Generalova
Associate Professor the Chair of Transport Machinery, Penza State University (40 Krasnaya St., Penza 440026, Russian Federation), Cand.Sci. (Engr.), ORCID: https://orcid.org/0000-0002-3900-619X, Researcher ID: AAS-6867-2021, This email address is being protected from spambots. You need JavaScript enabled to view it.

Artem A. Nikulin
Postgraduate Student of the Chair of Transport Machinery, Penza State University (40 Krasnaya St., Penza 440026, Russian Federation), ORCID: https://orcid.org/0000-0003-1834-6053, This email address is being protected from spambots. You need JavaScript enabled to view it.

Dmitriy S. Bychkov
Postgraduate Student of the Chair of Transport Machinery, Penza State University (40 Krasnaya St., Penza 440026, Russian Federation), ORCID: https://orcid.org/0000-0003-1648-2289, Researcher ID: AAS-5799-2021, This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract 
Introduction. The “Smart Agroˮ committee of Research and Education Center “Engineering of the Future” has identified a number of tasks relevant for improving the efficiency of precision, soil-protecting and conservation agriculture. One of these tasks is the development of a digital multi-agent system, which provides a number of services for agricultural enterprises, developers and manufacturers of agricultural machinery. The purpose of the present study is to model an autonomous mobile robotic platform, including the development of software and hardware for trajectory control.
Materials and Methods. To solve the problem, there are used modern CAx systems and their applications, the methods of 3D and full-body modeling, and the method of numerical solution of problems in solid mechanics. To expand and improve the standard functionality of CAx-systems (SolidWorks) in the software implementation of trajectory control algorithms, the methods and technologies of programming using API SolidWorks, VisualStudio C++ (MFC, ATL, COM) are used, and to build physical full-scale models ‒ Arduino and fischertechnik platforms.
Results. The result of the study is a software and hardware module of trajectory control for an integrated (physical and virtual) model of a mobile robotic platform, which can be provided to the consumer as a service for technology autonomation. For the developed integrated model, control algorithms for various types of trajectories were tested.
Discussion and Conclusion. The developed integrated software and hardware model of trajectory control can be used by developers and manufacturers of agricultural machinery, and directly by agro-enterprises for implementing typical technological processes. A feature of the implementation is an open hardware and software interface that provides the integration of mobile robotic platforms based on a digital multi-agent system.

Keywords: robotic transport and technology system, CAD/CAE, technology autonomation, physical and virtual models, trajectory control, parametric design, digital multiagent template

Acknowlegments: The authors would like to thank the anonymous reviewers, as well as the management and moderators of the Research and Education Center “Engineering of the Future” for their assistance in the preparation of the project.

The authors declare no conflict of interest.

For citation: Chugunov M.V., Polunina I.N., Divin A.G., et al. Integrated Mobile Robotic Platform Model. Inzhenernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2021; 31(4):609-627. doi: https://doi.org/10.15507/2658-4123.031.202104.609-627

Contributions of the authors:
M. V. Chugunov – concept and structure of the project, development of traffic models and the application framework.
I. N. Polunina – 3D modeling of parts and assemblies, software development.
A. G. Divin – development of mathematical models and algorithms.
A. A. Generalova – development of the field model.
A. A. Nikulin – numerical experiments.
D. S. Bychkov – conducting field experiments.

All authors have read and approved the final manuscript.

Submitted 28.06.2021; approved after reviewing 10.08.2021;
accepted for publication 17.09.2021

 

REFERENCES

1. Gorodetsky V., Skobelev P., Mařík V. System Engineering View on Multi-Agent Technology for Industrial Applications: Barriers and Prospects. Cybernetics and Physics 2020; 9(1):13-30. (In Eng.) doi: https://doi.org/10.35470/2226-4116-2020-9-1-13-30

2. Gonzalez-de-Santos P., Fernández R., Sepúlveda D., et al. Field Robots for Intelligent Farms–Inhering Features from Industry. Agronomy. 2020; 10(11). (In Eng.) doi: https://doi.org/10.3390/agronomy10111638

3. Chen Y., Zhang B., Zhou J., et al. Real-Time 3D Unstructured Environment Reconstruction Utilizing VR and Kinect-Based Immersive Teleoperation for Agricultural Field Robots. Computers and Electronics in Agriculture. 2020; 175. (In Eng.) doi: https://doi.org/10.1016/j.compag.2020.105579

4. Matraji K., Al-Wahedi K., Al-Durra A. Higher-Order Super-Twisting Control for Trajectory Tracking Control of Skid-Steered Mobile Robot. IEEE Access. 2020; 8:124712-124721. (In Eng.) doi: https://doi.org/10.1109/ACCESS.2020.3007784

5. Salinas L.R., Santiago D., Slawiñski E., et al. P+d Plus Sliding Mode Control for Bilateral Teleoperation of a Mobile Robot. International Journal of Control, Automation and Systems. 2018; 16:1927-1937. (In Eng.) doi: https://doi.org/10.1007/s12555-017-0439-x

6. Xinchen G., Zhenying L., Caihong L. Finite Time Tracking Control of Mobile Robot Based on Non-Singular Fast Terminal Sliding Mode. Systems Science & Control Engineering. 2018; 6(1):492-500. (In Eng.) doi: https://doi.org/10.1080/21642583.2018.1542636

7. Wu X., Jin P., Zou T., et al. Backstepping Trajectory Tracking Based on Fuzzy Sliding Mode Control for Differential Mobile Robots. Journal of Intelligent & Robotic Systems. 2019; 96:109-121. (In Eng.) doi: https://doi.org/10.1007/s10846-019-00980-9

8. Shamshiri R.R., Weltzien C., Hameed I.A., et al. Research and Development in Agricultural Robotics: a Perspective of Digital Farming. International Journal of Agricultural and Biological Engineering. 2018; 11(4). (In Eng.) doi: https://doi.org/10.25165/j.ijabe.20181104.4278

9. Qiu Q., Fan Z., Meng Z., et al. Extended Ackerman Steering Principle for the Coordinated Movement Control of a Four Wheel Drive Agricultural Mobile Robot. Computers and Electronics in Agriculture. 2018; 152(9):40-50. (In Eng.) doi: https://doi.org/10.1016/j.compag.2018.06.036

10. Gao G., Qin Q., Chen Sh. Turning Control of a Mobile Robot Forgreenhouse Spraying Based on Dynamic Sliding Mode Control. International Journal of Advanced Robotic Systems. 2017; 14(6). (In Eng.) doi: https://doi.org/10.1177/1729881417744754

11. Matraji I., Al-Durra A., Haryono A., et al. Trajectory Tracking Control of Skid-Steered Mobile Robot Based on Adaptive Second Order Sliding Mode Control. Control Engineering Practice. 2018; 72(3):167-176. (In Eng.) doi: https://doi.org/10.1016/j.conengprac.2017.11.009

12. Morales L., Herrera M., Camacho O., et al. LAMDA Control Approaches Applied to Trajectory Tracking for Mobile Robots. IEEE Access. 2021; (9):37179-37195. (In Eng.) doi: https://doi.org/10.1109/ACCESS.2021.3062202

13. Slawiñski E., Santiago D., Mut V. Dual Coordination for Bilateral Teleoperation of a Mobile Robot with Time Varying Delay. IEEE Latin America Transactions. 2020; 18(10):1777-1784. (In Eng.) doi: https://doi.org/10.1109/TLA.2020.9387669

14. Li W., Ding L., Gao H., Tavakoli M. Haptic Tele-Driving of Wheeled Mobile Robots under Non-ideal Wheel Rolling, Kinematic Control and Communication Time Delay. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2020; 50(1):336-347. (In Eng.) doi: https://doi.org/10.1109/TSMC.2017.2738670

15. Zheng Y., Brudnak M., Jayakumar P., Stein J.L. Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs. IEEE Transactions on Human-Machine Systems. 2020; 50(6):561-572. (In Eng.) doi: https://doi.org/10.1109/THMS.2020.3018684

16. Tzafestas S.G. Mobile Robot Control and Navigation: A Global Overview. Journal of Intelligent & Robotic Systems. 2018; 91:35-58. (In Eng.) doi: https://doi.org/10.1007/s10846-018-0805-9

17. Rapoport L.B. Estimation of Attraction Domains in Wheeled Robot Control. Automation and Remote Control. 2006; 67:1416-1435. (In Eng.) doi: https://doi.org/10.1134/S0005117906090062

18. Gilimyanov R.F., Pesterev A.V., Rapoport L.B. Motion Control for a Wheeled Robot Following a Curvilinear Path. Journal of Computer and Systems Sciences International. 2008; 47:987-994. (In Eng.) doi: https://doi.org/10.1134/S1064230708060129

19. Rapoport L.B. The Periodic Solution of Two-Dimensional Linear Nonstationary Systems and Estimation of the Attraction Domain Boundary in the Problem of Control of a Wheeled Robot. Automation and Remote Control. 2011; 72:2339-2347. (In Eng.) doi: https://doi.org/10.1134/S0005117911110087

20. Pesterev A.V., Rapoport L.B. Stabilization Problem for a Wheeled Robot Following a Curvilinear Path on Uneven Terrain. Journal of Computer and Systems Sciences International. 2010; 49:672-680. (In Eng.) doi: https://doi.org/10.1134/S1064230710040155

21. Pesterev A.V. Synthesis of a Stabilizing Control for a Wheeled Robot Following a Curvilinear Path. Automation and Remote Control. 2012; 73:1134-1144. (In Eng.) doi: https://doi.org/10.1134/S000511791207003X

22. Pesterev A.V., Rapoport L.B. Canonical Representation of the Path Following Problem for Wheeled Robots. Automation and Remote Control. 2013; 74:785-801. (In Eng.) doi: https://doi.org/10.1134/S0005117913050044

23. Balabanov P.V., Divin A.G., Egorov A.S., Yudaev V.A. Mechatronic System for Fruit and Vegetables Sorting. In: II International Scientific Conference “Advanced Technologies in Aerospace, Mechanical and Automation Engineering” (18-21 November 2019). Vol. 734. Krasnoyarsk; 2019. (In Eng.) doi: https://doi.org/10.1088/1757-899X/734/1/012128

24. Berestova S.A., Misyura N.E., Mityushov E.A. Kinematic Control of Vehicle Motion. Vestnik Udmurtskogo universiteta. Matematika. Mekhanika. Kompyuternye nauki = Bulletin of Udmurt University. Mathematics. Mechanics. Computer Science. 2015; 25(2):254-266. Available at: http://www.mathnet.ru/links/0ee54f8b9a883b3110138244e322e405/vuu482.pdf (accessed 14.02.2021). (In Russ., abstract in Eng.)

25. Devyaterikov E.A. Algorithm Describing Mobile Robot Path Using the Visual Odometer Data for Automatic Returning to Operator. Nauka i obrazovanie. MGTU im. N. E. Baumana = Science & Education. Bauman MSTU. 2014; (12):705-715. Available at: https://clck.ru/YK7bM (accessed 14.02.2021). (In Russ., abstract in Eng.)

26. Li J., Dang P., Li Y., Gu B. A General Euler Angle Error Model of Strapdown Inertial Navigation Systems. Applied Sciences. 2018; 8(1). (In Eng.) doi: https://doi.org/10.3390/app8010074

27. Sekaran J., Kaluvan H., Irudhayaraj L. Modeling and Analysis of GPS–GLONASS Navigation for Car Like Mobile Robot. Journal of Electrical Engineering & Technology. 2020; (15):927-935. (In Eng.) https://doi.org/10.1007/s42835-020-00365-1

28. Stelian-Emilian O. Mobile Robot Platform with Arduino Uno and Raspberry Pi for Autonomous Navigation. Procedia Manufacturing. 2019; 32:572-577. (In Eng.) doi: https://doi.org/10.1016/j.promfg.2019.02.254

29. Al-Sahib N.K.A., Azeez M.Z. Build and Interface Internet Mobile Robot using Raspberry Pi and Arduino. Innovative Systems Design and Engineering. 2015; 6(1):106-114. (In Eng.) URL: https://www.iiste.org/Journals/index.php/ISDE/article/view/19583

30. Mikheenko I.S., Romanov A.M. Unified Control System for Modular Reconfigurable Robots. In: 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EICon-Rus) (28-31 Jan. 2019). Saint Petersburg, Moscow: IEEE; 2019. p. 661-665. (In Eng.) doi: https://doi.org/10.1109/EIConRus.2019.8656759

31. Chugunov M.V., Polunina I.N. Interdisciplinary Modelling of Robots Using CAD/CAE Technology. Vestnik Mordovskogo universiteta = Mordovia University Bulletin. 2018; 28(2):181-190. (In Russ., abstract in Eng.) doi: https://doi.org/10.15507/0236-2910.028.201802.181-190

32. Chugunov M.V., Polunina I.N., Popkov M.A. The Quadcopter Design Based on Integrated Model Environment. Inzhenernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2019; 29(2):169-186. (In Russ., abstract in Eng.) doi: https://doi.org/10.15507/2658-4123.029.201902.169-186

 

Лицензия Creative Commons
This work is licensed under a Creative Commons Attribution 4.0 License.

Joomla templates by a4joomla