Envelope Protection for Autonomous Unmanned Aerial Vehicles

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Date

2009-01-01

Author

Yavrucuk, İlkay
Unnikrishnan, Suraj

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This paper describes the design, development, and testing of an automatic envelope protection system as implemented on Georgia Institute of Technology's unmanned helicopter GTMax. The envelope protection system makes use of online-learning adaptive neural networks to generate online dynamic models, which are used to estimate limits on controller commands. The system provides command capability up to the limit boundaries while preventing envelope exceedance. Simulation and flight-test results are provided for load factor and rotor stall limit protection during aggressive maneuvering.

Subject Keywords

Output-feedback control, Tilt-rotor aircraft, Nonlinear-systems, Neural-networks, Flight control, Avoidance, Observer

URI

https://hdl.handle.net/11511/47812

Journal

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS

DOI

https://doi.org/10.2514/1.35265

Collections

Department of Aerospace Engineering, Article

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Citation Formats

İ. Yavrucuk and S. Unnikrishnan, “Envelope Protection for Autonomous Unmanned Aerial Vehicles,” JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, pp. 248–261, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47812.