Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft

Eric N. Johnson, Michael A. Turbe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Scopus citations

Abstract

Small ducted fan autonomous vehicles have potential for several applications, especially for missions in urban environments. This paper discusses the use of dynamic inversion with neural network adaptation to provide an adaptive controller for the GTSpy, a small ducted fan autonomous vehicle based on the Micro Autonomous Systems' Helispy. This approach allows utilization of the entire low speed flight envelope with a relatively poorly understood vehicle. A simulator model is constructed from a force and moment analysis of the vehicle, allowing for a validation of the controller in preparation for flight testing. Data from flight testing of the system is provided.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA Guidance, Navigation, and Control Conference 2005
Pages4419-4441
Number of pages23
StatePublished - 2005
EventAIAA Guidance, Navigation, and Control Conference 2005 - San Francisco, CA, United States
Duration: Aug 15 2005Aug 18 2005

Publication series

NameCollection of Technical Papers - AIAA Guidance, Navigation, and Control Conference
Volume6

Other

OtherAIAA Guidance, Navigation, and Control Conference 2005
CountryUnited States
CitySan Francisco, CA
Period8/15/058/18/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Johnson, E. N., & Turbe, M. A. (2005). Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft. In Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference 2005 (pp. 4419-4441). (Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference; Vol. 6).