350 rub
Journal Neurocomputers №6 for 2011 г.
Article in number:
Multi-agent network control of the group of unmanned aerial vehicle
Authors:
K. S. Amelin, O. N. Granichin
Abstract:
In this paper, we discuss use of a multi-agent system for adaptiveу control of the group of unmanned aerial vehicle(UAV). The architecture of an UAV, whose technical equipment will meet the requirements for its successful functioning in an autonomous UAV groups is considered. Algorithms monitoring aerial and optimization of flight is described. Simultaneous Perturbation Stochastic Approximation for quick and precise detection of the center of a thermal updraft for the optimization algorithm of flight group is used.
Pages: 64-72
References
  1. Граничин О. Н, Павленко Д. В. Рандомизация получения данных и L1- оптимизация (опознание со сжатием): Обзор // Автоматика и телемеханика. 2010. № 11.
  2. Амелин К. С., Антал Е. И., Васильев В. И., Граничина Н. О. Адаптивное управление автономной группой беспилотных летательных аппаратов // Стохастическая оптимизация в информатике. 2009. Вып. 5. С. 157-166.
  3. Spall, J. C., Multivariate stochastic approximation using a simultaneous perturbation gradient approximation // IEEE Trans. Automat.Contr. 1992. V. 37. P. 332-341.
  4. Granichin, O. N., A stochastic recursive procedure with dependent noises in the observation that uses sample perturbations in the input // Vestnik Leningrad Univ. Math. 1989. V. 22. №1(4). P. 27-31.
  5. Granichin, O. N., Procedure of stochastic approximation with disturbances at the input // Automation and Remote Control. 1992. V. 53 № 2. Part1. P. 232-237.
  6. Официальный сайт по беспилотным летательным аппаратам // http://bp-la.ru/.
  7. Скобелев П. О. Открытые мультиагентные системы для оперативной обработки информации в процессах принятия решений // Автометрия. 2002. № 6. С. 45-61.
  8. Baxter, J. W., Horn G.S., Leivers D.P. Fly-by-Agent: Controlling a Pool of UAVs via a Multi-Agent System. QinetiQ Ltd Malvern Technology Centre St Andrews Road. Malvern. UK. 2007.
  9. Амелин К. С. Легкий беспилотный летательный аппарат для автономной группы // Стохастическая оптимизация в информатике. 2010. Т. 6. С. 117-126.
  10. HaiyangChao.Cooperative Remote Sensing And Actuation Using Networked Unmanned Vehicles. PhD thesis. Utah state university. 2010.
  11. Allen, M. J., Autonomous soaring for improved endurance of a small uninhabited air vehicle // AIAA 2005-1025, 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, 10-13 January, 2005.
  12. Reichmann, H., Cross-Country Soaring. - Minnesota: Soaring Society of America, Inc. 1978.
  13. Daniel, J. Edwards, Implementation Details and Flight Test Results of an Autonomous Soaring Controller // North Carolina State University.
  14. Granichin, O. N., Polyak, B. T., Randomized Algorithms of an Estimation and Optimization Under Almost Arbitrary Noises. Moscow: Nauka. 2003.
  15. Antal,С., Granichin,O., Levi,S.,Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation // 49th IEEE Conference on Decision and Control, Hilton Atlanta Hotel, Atlanta, GA, USA, December 15-17, 2010.