Hybrid Control of Long Endurance Unmanned Aerial Vehicles for Robust Wireless Sensor Networking
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Authors
Lee, D.-J.
Andersson, K.
Kaminer, Isaac
Horner, D.P.
Jones, K.D.
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2009-08
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Abstract
This paper presents an effective hybrid control approach for building stable wireless sensor networks between heterogeneous unmanned vehicles using high endurance aerial vehicles. For optimal deployment of the aerial vehicles in communication networks, a gradient descent based self-estimating control algorithm is utilized to locate the aerial platforms to maintain maximum communication throughputs between distributed multiple nodes. The autonomous aerial robots, which function as communication relay nodes, harness thermal energy from the atmosphere to improve their flight endurance within specified communication coverage areas. The rapidly-deployable communication networks with the high-endurance aerial vehicles can be used for various application areas including environment monitoring, surveillance, tracking, and decision-making support. Flight test and simulation studies are conducted to evaluate the effectiveness of the proposed hybrid control technique for robust communication networks.
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in Proceedings of AIAA Guidance, Navigation, and Control Conference, Chicago, IL, Aug. 10-13 2009.
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D.-J. Lee, K. Andersson, I. Kaminer, D. P. Horner, and K. D. Jones, "Hybrid Control of Long Endurance Unmanned Aerial Vehicles for Robust Wireless Sensor Networking", in Proceedings of AIAA Guidance, Navigation, and Control Conference, Chicago, IL, Aug. 10-13 2009.$Papers 2008
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.