Modeling, control, and flight testing of a small ducted-fan aircraft

Eric N. Johnson, Michael A. Turbe

Research output: Contribution to journalReview article

111 Citations (Scopus)

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 are provided.

Original languageEnglish (US)
Pages (from-to)769-779
Number of pages11
JournalJournal of Guidance, Control, and Dynamics
Volume29
Issue number4
DOIs
StatePublished - Jul 1 2006

Fingerprint

ducted fans
Autonomous Vehicles
Fans
aircraft
Aircraft
vehicles
flight
Controller
Testing
Autonomous Systems
Modeling
Envelope
modeling
Preparation
controllers
Inversion
Simulator
flight envelopes
Entire
Neural Networks

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Aerospace Engineering
  • Space and Planetary Science
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

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Modeling, control, and flight testing of a small ducted-fan aircraft. / Johnson, Eric N.; Turbe, Michael A.

In: Journal of Guidance, Control, and Dynamics, Vol. 29, No. 4, 01.07.2006, p. 769-779.

Research output: Contribution to journalReview article

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