Statistical Data Processing of Two Mobile Objects Behavior in Random Environments Using Simulation Modeling Method
(*) Corresponding author
The article substantiates the necessity of using simulation in order to study the behavior of mobile aircraft (MA) in non-deterministic random environments. The purpose of research using a simulation model is to obtain statistical data on the behavior of the MA with antagonistic tasks. The processing of statistical data allows concluding which one of the MA and with which characteristics solves the problem more successfully. An analytical review of papers in this research area is carried out. The results of the analytical review have indicated the relevance of these studies. Methods for solving the problem of studying the MA behavior are probability theory and mathematical statistics, as well as simulation. It is shown that a non-deterministic random environment has many random parameters. A simulation model for studying the MA behavior is developed. Algorithms of the MA behavior are developed for the simulation model. It implemented in Unity3d - a software environment for modeling various processes. For simulation, an object-oriented C # high-level programming language is used. In order to solve the problem of studying the MA behavior, a list of estimates (criteria of behavior) from probability theory and mathematical statistics is defined. The use of a simulation model allows getting many statistical data and processing them in order to determine estimates. A description of the source data and the operation of the software application for solving the problem of modeling the interaction of two mobile objects is given. In the study of behavior, the first and second MA are assigned different tasks. This has determined the MA different goals and the algorithms for their behavior. Algorithms for the simulation of the MA behavior are developed and tests are carried out using a software application. As a result of simulation, statistical data is obtained and processed. The use of a simulation model and the method of its development allows solving the problem for any MA number. Simulation allows predicting the achievement of the MA goal, and with a more complex statement of the problem, selecting the MA number in order to solve the problem.
Copyright © 2019 Praise Worthy Prize - All rights reserved.
Mualla Y., Najjar A, Daoud A., Galland S., Nicolle C., Yasar A.-U.-H., Shakshuki E. Agent-based simulation of unmanned aerial vehicles in civilian applications, A systematic literature review and research directions, Future Generation Computer Systems, Vol. 100, November 2019, Pages: 344 364.
Van, M., Mavrovouniotis, M., Ge, S.S. An adaptive backstepping nonsingular fast terminal sliding mode control for robust fault tolerant control of robot manipulators, IEEE Transactions on Systems, Man, and Cybernetics: Systems Volume 49, Issue 7, July 2019, № 8260945, Pages 1448-1458.
Penkov, I., Aleksandrov, D., Efficiency Optimization of Mini Unmanned Multicopter, (2017) International Review of Aerospace Engineering (IREASE), 10 (5), pp. 267-276.
Wang Z., Liu L., Long T., Xu G. Efficient unmanned aerial vehicle formation rendezvous trajectory planning using Dubins path and sequential convex programming, Engineering Optimization. Volume 51, Issue 8, 3 August 2019, Pages: 1412 1429.
Zhang L., Su Y. Wang Z. A simple non-singular terminal sliding mode control for uncertain robot manipulators, Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control EngineeringVolume 233, Issue 6, 1 July 2019, Pages 666-676.
Hossein Sheikhi, Abas Saghaie. Developing an engineering-statistical model for estimating aerodynamic coefficients of helicopter fuselage, Chinese Journal of Aeronautics, 2017: www.sciencedirect.com.
Keller J., Colosi C., Nichols G. Achieving high performance aircraft modeling in operational analysis software using a minimum complexity model, Annual Forum Proceedings - AHS International. Volume 2018-May, 2018 // 74th American Helicopter Society International Annual Forum and Technology Display 2018: The Future of Vertical Flight; Phoenix Convention CenterPhoenix; United States; Code 137034.
Jin J., Ma X. A non-parametric Bayesian framework for traffic-state estimation at signalized intersections, Information Sciences. Volume 498, September 2019, Pages 21-40.
P. Khrueasom, A. Pongpullponsak. The integrated model of the Kolmogorov–Smirnov distribution-free statistic approach to process control and maintenance, Journal of King Saud University – Science 2016: www.sciencedirect.com.
Wilmar Hernandez Carlos Calderón-Córdova, Eduardo Brito, Eduardo Campoverde, Vicente González-Posada, José G. Zato. A method of verifying the statistical performance of electronic circuits designed to analyze the power quality, Measurement 93, 2016. – Pages: 21–28.
Fouzi Harrou, Ying Sun. Statistical monitoring of linear antenna arrays, Engineering Science and Technology, an International Journal 19 (2016). – Pages: 1781 1787.
Pshikhopov V.K., Medvedev M.Y., Fedorenko R.V., Gurenko B.V.. Decentralized control algorithms of a group of vehicles in 2D space, Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 102530M (February 8, 2017).
Stepanov O.A.,, Vasiliev V.A., Toropov A.B., Loparev A.V., Basin М.V. Efficiency analysis of a filtering algorithm for discrete-time linear stochastic systems with polynomial measurements, Journal of the Franklin Institute. Volume 356, Issue 10, July 2019, Pages 5573-5591.
Osorio De La Rosa E., Becerra Nuñez G., Palafox Roca A.O., Ledesma-Alonso, R. An empiric-stochastic approach, based on normalization parameters, to simulate solar irradiance, Journal of Solar Energy Engineering, Transactions of the ASME. Volume 141, Issue 6, No 061011, 2019.
Huang Z., Pan Y.-J., Bauer R. Leader-Follower Consensus Control of Multiple Quadcopters under Communication Delays / American Society of Mechanical Engineers (ASME), Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol.141, Issue 10, 1 October 2019, № 101006.
Gorodetskiy A.E., Tarasova I.L. Situational Control a Group of Robots Based on SEMS, Studies in Systems, Decision and Control, Volume 174, 2019, Pages 9-18.
Unity3d. Getting started, practical advice. Review [Electronic resource] https://habrahabr.ru/post/161463/.
V.S. Palto, P.V. Frolov, S.A. Frolov. C# Event Manager in Unity3D: Development, Usability and Performance Assessment / Applied Informatics, Journal of Applied Informatics. Vol. 1. № 2 (62) 2016. Pages: 78 97.
M.I. Sultanova, A.A. Fomin, V.I. Finaev. Software for simulation and research of aircraft flights, Information technologies, systems analysis and control, ITSAC-2016, Collected Works of the XIV All-Russian Scientific Conference of Young Scientists, Post-Graduates and Students. Taganrog: Publishing house of the Southern Federal University, 2016. pp. 88 91.
M.I. Sultanova, A.A. Fomin, V.I. Finaev. Simulation of aircraft flights and statistical data assembling, Information technologies, systems analysis and control. ITSAC-2016 // Collected Works of the XIV All-Russian Scientific Conference of Young Scientists, Post-Graduates and Students. Taganrog: Publishing house of the Southern Federal University, 2016. pp. 91 95.
Bouallegue, S., Khoud, K., Integral Backstepping Control Prototyping for a Quad Tilt Wing Unmanned Aerial Vehicle, (2016) International Review of Aerospace Engineering (IREASE), 9 (5), pp. 152-161.
Manzoor, M., Maqsood, A., Hasan, A., Quadratic Optimal Control of Aerodynamic Vectored UAV at High Angle of Attack, (2016) International Review of Aerospace Engineering (IREASE), 9 (3), pp. 70-79.
Alsahlani, A., Rahulan, T., A Mathematical Model of a Conceptual Design Approach of High Altitude Solar Powered Unmanned Aerial Vehicles, (2017) International Review of Aerospace Engineering (IREASE), 10 (4), pp. 196-206.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2023 Praise Worthy Prize