Modelling the one channel systems of a delivery of goods provided by unmanned aerial vehicles

Authors

  • Roman N. Kvyetnyy Vinnytsia National Technical University, Ukraine http://orcid.org/0000-0002-9192-9258
  • Yaroslav Kulyk Vinnytsia National Technical University, Ukraine
  • Bohdan Knysh
  • Yuryy Ivanov Vinnytsia National Technical University, Ukraine
  • Andrzej Smolarz Lublin University of Technology http://orcid.org/0000-0002-6473-9627
  • Orken Mamyrbaev Institute Information and Computational Technologies CS MES RK, Kazakhstan
  • Aimurat Burlibayev Al-Farabi Kazakh National University, Almaty, Kazakhstan

Abstract

In this article is revealed the systems of a good delivery witch implement unmanned aerial vehicles during providing the service. the one channel systems of a goods delivery are a goal of this research work. the close analysing of their functional features, the classification, the types and parameters of different systems from this band are presented. in addition, the modelling of the different types of the one channel systems of goods delivery are has done.

Author Biographies

Roman N. Kvyetnyy, Vinnytsia National Technical University, Ukraine

D.Sc., Professor of Automatics and Information-Measuring Techniques Department Roman N. Kvyetnyy, Vinnytsia National Technical University, Khmelnytsky Hwy, 95, 21021 Vinnytsia, Ukraine, E-mail: rkvetny@sprava.net; 

Yaroslav Kulyk, Vinnytsia National Technical University, Ukraine

Ph.D., Senior Lecturer of Automatics and Information-Measuring Techniques Department Kulyk Yaroslav, Vinnytsia National Technical University, Khmelnytsky Hwy, 95, 21021 Vinnitsa, Ukraine, E-mail: Yaroslav_Kulik@i.ua, 

Bohdan Knysh

Ph.D., Senior Lecturer of Electronic and Nanosystems Department Knysh Bohdan, Vinnytsia National Technical University, Khmelnytsky Hwy, 95, 21021 Vinnitsa, Ukraine, E-mail: tutmos-3@i.ua

Yuryy Ivanov, Vinnytsia National Technical University, Ukraine

Senior Lecturer of Automatics and Information-Measuring Techniques Department Ivanov Yuryy, Vinnytsia National Technical University, Khmelnytsky Hwy, 95, 21021 Vinnitsa, Ukraine, E-mail: Yura881990@i.ua

References

National Research Council, “Autonomous Vehicles in Support of Naval Operations,” Washington, DC: The National Academies Press, 2005.

R. Austin, “Unmanned Aircraft Systems: UAVS Design, Development and Deployment,” R. Austin, John Wiley & Sons, 2011.

L. Mejias, “Field and Service Robotics: Results of the 9th International Conference”, L.Mejias, P.Corke, J.Roberts, Springer Tracts in Advanced Robotics, vol. 105, 2014.

J.W.Baxter, “Controlling teams of uninhabited air vehicles,” in Defence Industry Applications of Autonomous Agents and Multi-Agent Systems. Whitestein Series in Software Agent Technologies and Autonomic Computing, J.W. Baxter, G.S. Horn, Basel: Birkhuser, 2008, pp. 97–112.

S.V. Kashuba, V.I. Novikov, O.I. Lysenko, and I.V. Alekseeva, “Optimization of UAV path for wireless sensor network data gathering” in Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), 2015 IEEE International Conference, Kiev, 2015, pp. 280-283.

G. J. Harrison, “Unmanned Aircraft Systems (UAS): Manufacturing Trends,” Congressional Research Service CRS Report for Congress, Jan. 30, 2013.

J. Lee, R. Huang, A. Vaughn, X. Xiao, J. K. Hedrick, M. Zennaro, and R. Sengupta, “Strategies of Path-Planning for a UAV to Track a Ground Vehicle,” in Proceedings of the 2nd annual Autonomous Intelligent Networks and Systems Conference, Menlo Park CA, 2003.

X. Yang, S. Koziel, and L. Leifsson, “Computational optimization, modelling and simulation: Past, present and future,” in Proc. Computer Science International Conference on Computational Science, 2014, no. 29(0), pp. 754 – 758.

X. Zhu, Z. Liu, and J. Yang, “Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study,” in Proc. Computer Science Conference On Computational Science, 2015, vol. 51, pp. 493–502.

A. Dogan, “Probabilistic approach in path planning for UAVs,” in Proc. of the 2003 IEEE International Symposium on Intelligent Control, Huston, 2003, pp. 608-613.

S.A. Bortoff, “Path planning for UAVs,” in Proceedings of the 2000 American Control Conference, Chicago, 2000.

Y. Shapira, and N. Agmon., “Path planning for optimizing survivability of multi-robot formation in adversarial environments,” in Proc. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, 2015, pp. 4544-4549.

R. Dai, and J. E. Cochran, “Path planning for multiple unmanned aerial vehicles by parameterized cornu-spirals,” in Proc. American Control Conference, 2009, pp. 2391-2396.

I. Kemp, “Unmanned Vehicles. The Concise Global Industry Guide,” The Shephard Press, no. 19, 2011.

M. Korobchynskyi, O. Mashkov, “Construction method of optimal control system of a group of unmanned aerial vehicles,” Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Srodowiska – IAPGOS, vol. 4, no. 1, pp. 41–43, 2014.

R. Gil, P. Kaniewski, “Algorithms of reconstruction of unmanned aerial vehicle trajectory,” Przeglad Elektrotechniczny, vol. 91, no. 3, pp. 57–60, 2015

S. I. Vyatkin, A. N. Romanyuk, Z. Y. Gotra, and etc. “Offsetting, relations, and blending with perturbation functions,” Proc. SPIE 10445, 2017.

Vyatkin S. I., Romanyuk A. N., Pavlov S. V. and etc., “Fast ray casting of function-based surfaces” Przeglad Elektrotechniczny, vol. 93, no. 5, 2017, pp. 83-86.

L. I. Timchenko, S.V. Pavlov, N. I. Kokryatskaya, and etc. “Bio-inspired approach to multistage image processing,” Proc. SPIE 10445, 2017.

O. N. Romanyuk, S. V. Pavlov, O. V. Melnyk, S. O. Romanyuk, A. Smolarz, et al. “Method of anti-aliasing with the use of the new pixel model,” Proc. SPIE 9816, 2015.

S. O. Romanyuk, S. V. Pavlov, and O. V. Melnyk, “New method to control color intensity for antialiasing,” in Proc. 2015 International Siberian Conference on Control and Communications (SIBCON), Omsk, 2015.

S. M. Zlepko, S. V. Tymchyk, and etc., “An informational model of sportsman’s competitive activities,” Proc. SPIE 10031, 2016.

K. G. Selivanova, O. G. Avrunin, S. M. Zlepko, and etc., “Quality improvement of diagnosis of the electromyography data based on statistical characteristics of the measured signals,” Proc. SPIE 10031, 2016.

A. P. Rotshtein, M. Posner, and H. B. Rakytyanska, “Cause and effect analysis by fuzzy relational equations and a genetic algorithm,” Reliability Engineering and System Safety, vol. 91, no. 9, 2006, pp. 1095-1101.

A. P. Rotshtein, and H. B. Rakytyanska, “Diagnosis problem solving using fuzzy relations,” IEEE Transactions on Fuzzy Systems, vol.16, no. 3, 2008, pp. 664-675.

L. I. Timchenko, “A multistage parallel-hierarchic network as a model of a neuronlike computation scheme,” Cybernetics and Systems Analysis, vol. 36, no. 2, 2000, pp. 251-267.

L. I. Timchenko, Y. F. Kutaev, V. P. Kozhemyako, and etc., “Method for training of a parallel-hierarchical network, based on population coding for processing of extended laser paths images,” Proceedings of SPIE 4790, 2002.

M. F. Kirichenko, Yu. V. Krak, and A. A. Polishchuk, “Pseudo inverse and projective matrices in problems of synthesis of functional transformers” Kibernetika i Sistemnyj Analiz, vol. 40, no. 3, 2004, pp. 116-129.

Yu. V. Krak, Dynamics of manipulation robots: Numerical-analytical method of formation and investigation of computational complexity Journal of Automation and Information Sciences, vol. 31, no. 1-3, 1999, pp. 121-128.

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Published

2024-04-19

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Section

Intelligent Transport