Have a personal or library account? Click to login
Self-Adaptive Asymmetrical Artificial Potential Field Approach Dedicated to the Problem of Position Tracking by Nonholonomic UAVs in Windy Enivroments Cover

Self-Adaptive Asymmetrical Artificial Potential Field Approach Dedicated to the Problem of Position Tracking by Nonholonomic UAVs in Windy Enivroments

By: Cezary Kownacki  
Open Access
|May 2021

References

  1. 1. Ambroziak L., Gosiewski Z. (2015), Two Stage Switching Control for Autonomous Formation Flight of Unmanned Aerial Vehicles, Aerospace Science and Technology, Vol. 46, 2015, pp. 221-226,10.1016/j.ast.2015.07.015
  2. 2. Ambroziak L., Kondratiuk M., Ciezkowski M., Kownacki C. (2018), Hardware in the Loop Tests of the Potential Field-Based Algorithm for Formation Flight Control of Unmanned Aerial Vehicles, Mechatronic Systems and Materials 2018, Zakopane, AIP Conference Proceedings 2029, 020002-1–020002-10.10.1063/1.5066464
  3. 3. Barnes L., Fields M. and Valavanis K. (2007), Unmanned Ground Vehicle Swarm Formation Control Using Potential Fields, in Mediterranean Conference on Control and Automation, Athens.10.1109/MED.2007.4433724
  4. 4. Bennet D. J., McInnes C. R. (2008) Space Craft Formation Flying Using Bifurcating Potential Fields, in International Astronautical Congress.
  5. 5. Bennet D. J., McInnes C. R. (2011), Autonomous Three-Dimensional Formation Flight for a Swarm of Unmanned Aerial Vehicles, Journal of Gudiance, Control, and Dynamics, vol. 34, no. 6, pp. 1899-1908.10.2514/1.53931
  6. 6. Budiyanto A., Cahyadi A., Adji T. B., Wahyunggoro O. (2015), UAV Obstacle Avoidance Using Potential Field Under Dynamic Environment, in 2015 International Conference on Control, Electronics, Renewable Energy and Communications, Bandung.10.1109/ICCEREC.2015.7337041
  7. 7. Cetin O., Yilmaz G. (2016), Real-time Autonomous UAV Formation Flight with Collision and Obstacle Avoidance in Unknown Environment, Journal of Intelligent & Robotic Systems, vol. 84, no. 1, pp. 415-433.10.1007/s10846-015-0318-8
  8. 8. Chen Y., Luo G., Mei Y., Yu J. and Su X. (2016), UAV Path Planning Using Artificial Potential Field Method Updated by Optimal Control Theory, International Journal of System Science, vol. 47, no. 6, pp. 1407-1420.10.1080/00207721.2014.929191
  9. 9. Chen Y., Yu J., Su X., Luo G. (2015), Path Planning for Multi-UAV Formation, Journal of Intelligent & Robotic Systems, vol. 77, no. 1, pp. 229-246.10.1007/s10846-014-0077-y
  10. 10. Frew E. W., Lawrence D. A., Dixon C., Elston J., Pisano W. J. (2007), Lyapunov Guidance Vector Fields for Unmnned Aircraft Applications, in IEEE American Control Conference.10.1109/ACC.2007.4282974
  11. 11. Gosiewski Z., Ambroziak L. (2012), Formation Flight Control Scheme for Unmanned Aerial Vehicles, Lecture Notes in Control and Information Science, vol. 422, pp. 331-340, 2012,10.1007/978-1-4471-2343-9_28
  12. 12. Hatton R.L., Choset H. (2011). Geometric Motion Planning: the Local Connection, Stokes’ Theorem, and the Importance of Coordinate Choice. The International Journal of Robotics Research, 30(8), pp.988-1014,10.1177/0278364910394392
  13. 13. Khuswendi T., Hindersah H., Adiprawita W. (2011), UAV Path Planning Using Potential Field and Modified Receding Horizon A* 3D Algorithm, in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics.10.1109/ICEEI.2011.6021579
  14. 14. Kokume N., Uchiyama K. (2010), Guidance Law Based on Bifurcating Velocity Field for Formation Flight, in AIAA Guidance, Navigation, and Control Conference.10.2514/6.2010-8081
  15. 15. Kowalczyk W., Kozłowski K. (2004), Artificial Potential Based Control for a Large-Scale Formation of Mobile Robots., in Proceedings of the Fourth International Workshop on Robot Motion and Control.10.1109/ROMOCO.2004.240742
  16. 16. Kownacki C. (2016), Multi-UAV Flight Using Virtual Structure Combined with Behavioral Approach, Acta Mechanica et Automatica, Vol. 10, No 2. 92-99.10.1515/ama-2016-0015
  17. 17. Kownacki C., Ambroziak L. (2017), Local and Asymmetrical Potential Field Approach to Leader Tracking Problem in Rigid Formations of Fixed-Wing UAVs, Aerospace Science and Technology, Vol. 68, September 2017, pp. 465-474.10.1016/j.ast.2017.05.040
  18. 18. Kownacki C., Ambroziak L. (2019), Adaptation Mechanism of Asymmetrical Potential Field Improving Precision of Position Tracking in the Case of Non-Holonomic UAVs, Robotica, doi: https://doi.org/10.1017/S0263574719000286, published online: 10 April 2019, pp. 1-12,10.1017/S0263574719000286
  19. 19. Kownacki C., Ołdziej O. (2016), Fixed-wing UAVs Flock Control through Cohesion and Repulsion Behaviours Combined with a Leadership, International Journal of Advanced Robotic Systems, vol. 13, p. DOI: 10.5772/62249.10.5772/62249
  20. 20. Li K., Han X., Qi G. (2009), Formation and Obstacle-Avoidance control for Mobile Swarm Robots Based on Artificial Potential Field, in Conference on Robotics and Biomimetics.
  21. 21. Mukherjee R., Anderson D.P. (1993), Nonholonomic Motion Planning Using Stokes’ Theorem. In: IEEE International Conference on Robotics and Automation, pp. 802–809.10.1109/ROBOT.1993.292243
  22. 22. Nagao Y., Uchiyama K. (2014), Formation Flight of Fixed-Wing UAVs Using Artificial Potential Field, in 29th Congress of the International Council of the Aerospace Sciences, St. Petersburg.
  23. 23. Nelson D. R., Barber D. B., McLain T. W., Beard R. W. (2007), Vector Field Path Following for Miniature Air Vehicles, IEEE Transactions on Robotics, vol. 23, no. 3, pp. 519-529.10.1109/TRO.2007.898976
  24. 24. Nieuwenhuisen M., Schadler M., Behnke S. (2013), Predictive Potential Field-Based Collision Avoidance for Multicopters, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vols. XL-1/W2.10.5194/isprsarchives-XL-1-W2-293-2013
  25. 25. Suzuki M., Uchiyama K. (2010), Autonomous Formation Flight Using Bifurcating Potential Fields, in 27th International Congress of the Aeronautical Sciences, Nice.10.2514/6.2009-5884
  26. 26. Suzuki M., Uchiyama K. (2011), Three-Dimensional Formation Flying Using Bifurcating Potential Fields, in AIAA Guidance, Navigation, and Control Conference, Chicago.
  27. 27. Tobias P., Krogstad T. R., Gravdahl J. T. (2008), UAV Formation Flight Using 3D Potential Field, in 16th Mediterranean Conference on Control and Automation.10.1016/j.simpat.2008.08.005
  28. 28. Virágh C., Vásárhelyi G., Tarcai N., Szörényi T., Somorjai G., Nepusz T., Vicsek T. (2014), Flocking Algorithm for Autonomous Flying Robots, Bioinspiration & Biomimetics, vol. 9, no. 2, p. 025012.10.1088/1748-3182/9/2/025012
DOI: https://doi.org/10.2478/ama-2021-0006 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 37 - 46
Submitted on: May 26, 2020
Accepted on: Apr 30, 2021
Published on: May 15, 2021
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Cezary Kownacki, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.