Other Articles by Author(s)

Lucjan Setlak
Rafal Kowalik

Author(s) and WSEAS

Lucjan Setlak
Rafal Kowalik

WSEAS Transactions on Systems and Control

Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 14, 2019

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 14, 2019

Control Model of a Small Micro-class UAV Object Taking Into Account the Impact of Strong Wind

AUTHORS: Lucjan Setlak, Rafal Kowalik

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ABSTRACT: The subject of this article is to analyze and select simulation tests in the field of issues related to flight control systems for micro-class aircraft. The main purpose of the work is to develop an algorithm for the flight control system, taking into account both the speed and direction of the wind acting on the UAV, which are the key attributes that play a decisive impact on the disturbance of flight parameters and its correct performance. What is more, atmospheric conditions determined by the influence of wind can produce phenomena dangerous to aviation in the form of wind shear or blast from the back during the landing process of the aircraft. The occurrence of the above situation may be the cause of stall phenomenon, which in turn may be the cause of a dangerous aviation phenomenon (accident, incident, etc.). For the purposes of solving the research problem, the article uses a mathematical apparatus in the form of equations describing the movement of the aircraft and the forces and moments acting on it. Based on the mathematical analysis of the UAV object, in the further part of the article, an algorithm was developed to estimate the impact of wind and an analysis of measurement errors occurring during flights and their impact on the measured values, as well as the values calculated on their basis. On this basis, charts have been developed defining clearly the various relationships. In the final part of the thesis, based on the mathematical analysis, simulation tests and analysis of the results obtained, the final conclusions and observations were formulated, which are reflected in practical applications.

KEYWORDS: Control model, micro class UAV object, equations of motion, strong wind influence


[1] E. Nice, Design of a Four Rotor Hovering Vehicle, Ph.D. dissertation, Cornell University, 2004.

[2] J. Tisdale, Z. Kim, and J. Hedrick, Autonomous UAV path planning and estimation, IEEE Robotics Automation Magazine, Vol. 16, No. 2, 2009, pp. 35-42.

[3] E. Yanmaz, Robert Kuschnig On Path Planning Strategies for Networked Unmanned Aerial Vehicles, IEEE INFOCOM, 2011, pp. 212-216.

[4] D.J. Balkcom, and M.T. Mason, Time optimal trajectories for bounded velocity differential drive vehicles, International Journal of Robotics Research, March 2002, pp.199-218.

[5] L. Setlak and R. Kowalik, Studies of 4-rotor unmanned aerial vehicle UAV in the field of control system, 22nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018), MATEC Web of Conferences, Vol. 210, pp. 1-9, 2018.

[6] N. Michael, D. Melinger, Q. Lindsey, and V. Kumar, The GRASP Multiple Micro UAV Testbed, Robotics & Automation Magazine, IEEE, 2010, pp. 56-65.

[7] Nemati, and M. Kumar, Modeling and control of a single axis tilting quadcopter, In American Control Conference (ACC), 2014, pp. 3077- 3082.

[8] Randal W. Beard, and Timothy W. McLain, Small unmanned aircraft: Theory and practice, Princeton University Press, 2012.

[9] John H. Blakelock, Automatic Control of Aircraft and Missiles, John Wiley & Sons, 1991.

[10] L. Setlak and R. Kowalik, MEMS Electromechanical Microsystem as a Support System for the Position Determining Process with the Use of the Inertial Navigation System INS and Kalman Filter, WSEAS Transactions on Applied and Theoretical Mechanics, Vol. 14, 2019, pp. 105-117.

[11] H. J. Sussmann, and G. Tang, Shortest paths for the Reeds-Shepp car: A worked out example of the use of geometric techniques in nonlinear optimal control, Technical Report SYNCON 91-10, Department of Mathematics, Rutgers University, 1991.

[12] Nemati, and M. Kumar, Non-Linear Control of Tilting Quadcopter Using Feedback Linearization Based Motion Control, Dynamic System and Control Conference (DSCC), 2014.

[13] Brian L. Stevens, Frank L. Lewis, and Eric N. Johnson, Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems, John Wiley & Sons, 2015.

[14] Davide Del Cont Bernard, Fabio Riccardi, Mattia Giurato, and Marco Lovera. A dynamic analysis of ground eject for a quadrotor platform, 20th IFAC World Congress, Toulouse, France, 2017.

[15] L. Setlak, R. Kowalik, S. Bodzon, The Study of Air Flows for an Electric Motor with a Nozzle for an Unmanned Flying Platform, WSEAS Transactions on Fluid Mechanics, Vol. 14, 2019, pp. 21-35.

[16] P.B. Sujit, Srikanth Saripalli, and Joao Borges Sousa, Unmanned aerial vehicle path following: A survey and analysis of algorithms for fixed-wing unmanned aerial vehicles, IEEE Control Systems, 34(1): 2014, pp. 42-59.

[17] Katsuhiko Ogata and Yanjuan Yang, Modern Control Engineering, Prentice-Hall Englewood Cliffs, NJ, 1970.

[18] Eugene Lavretsky, and Kevin A. Wise, Robust adaptive control, In Robust and Adaptive Control, Springer, 2013. pp. 317-353.

[19] Hassan K. Khalil, Nonlinear systems, PrenticeHall, New Jersey, 2002.

[20] Derek R. Nelson, D. Blake Barber, Timothy W. McLain, and Randal W. Beard, Vector field path following for miniature air vehicles, IEEE Transactions on Robotics, 23(3): 2007, pp. 519-529.

[21] Sanghyuk Park, John Deyst, and Jonathan P. How, A new nonlinear guidance logic for trajectory tracking, In AIAA guidance, navigation, and control conference and exhibition, 2004, pp. 16-19.

[22] L.F. Faleiro and A.A. Lambregts, Analysis and tuning of a total energy control system control law using eigen structure assignment, Aerospace Science and Technology, 3(3): 1999, pp. 127-140.

[23] L. Setlak, R. Kowalik, Stability Evaluation of the Flight Trajectory of Unmanned Aerial Vehicle in the Presence of Strong Wind, WSEAS Transactions on Systems and Control, Vol. 14, 2019, pp. 51-56.

[24] Petros A. Ioannou, and Jing Sun, Robust adaptive control, Volume 1. PTR Prentice-Hall Upper Saddle River, NJ, 1996.

[25] H. Chitsaz, S.M. LaValle, D.J. Balkcom, and M.T. Mason, An explicit characterization of minimum wheel-rotation paths for differential drives, In Proceedings 12th IEEE International Conference on Methods and Models in Automation and Robotics, 2006.

[26] J.D. Boissonnat, A. Cerezo, and J. Leblond, Shortest paths of bounded curvature in the plane, J. Intelligent and Robotic Systems, 1994, pp. 5-20.

[27] S.L. Waslander, J.S. Jang, C.J. Tomlin, MultiAgent X4-Flyer Testbed Control Design: Integral Sliding Mode vs. Reinforcement Learning, IEEE Conference on Intelligent Robots and Systems, 2009.

[28] N. Guenard, T. Hamel, V. Moreau, and S.A. France, Dynamic Modeling and Intuitive Control Strategy for an X4-fyer, in ICCA'05 International Conference on Control and Automation, 2005, pp. 1-6.

[29] Blum, P. Raghavan, and B. Schieber, Navigating in unfamiliar terrain, In STOC, 1991, pp. 494-504.

[30] J.Y. Potvin, A Review of Bio-inspired Algorithms for Vehicle Routing, Problem, Vol. 161, 2009, pp. 1-34.

[31] L. Setlak, R. Kowalik, Analysis, Mathematical Model and Simulation Tests of the Unmanned Aerial Vehicle Control System, WSEAS Transactions on Systems and Control Vol. 14, pp. 51-56, 2019.

[32] J.A. Reeds and L.A. Shepp, Optimal paths for a car that goes both forwards and backwards, Pacific J. Math., 1990, pp. 367-393.

[33] L.E. Dubins, On curves of minimal length with a constraint on average curvature, and with prescribed initial and terminal positions and tangents, American Journal of Mathematics, Vol. 79, 1957, pp. 497-516.

[34] S. Poduri, and G.S. Sukhatme, Constrained coverage for mobile sensor networks, in Proceedings IEEE International Conference Robotics and Automation, 2004, pp. 165-172.

WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 14, 2019, Art. #50, pp. 411-418

Copyright Β© 2019 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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