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Design and rapid prototyping of flight control and navigation system for an unmanned aerial vehicle /Lim, Bock-Aeng. January 2002 (has links) (PDF)
Thesis (M.S.)--Naval Postgraduate School, 2002. / Thesis advisor(s): Isaac I. Kaminer, Oleg A. Yakimenko. Includes bibliographical references (p. 103). Also available online.
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Design of an autopilot for small unmanned aerial vehicles /Christiansen, Reed Siefert, January 2004 (has links) (PDF)
Thesis (M.S.)--Brigham Young University. Dept. of Electrical and Computer Engineering, 2004. / Includes bibliographical references (p. 235-236).
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Airplane dynamic modeling and automatic flight control design /Wolfe, Douglas E., January 1990 (has links)
Project report (M.S.)--Virginia Polytechnic Institute and State University, 1990. / Vita. Abstract. Includes bibliographical references (leaf 59). Also available via the Internet.
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Autonomous flight of a model aircraft /Peddle, Iain Kenneth. January 2005 (has links)
Thesis (MScIng)--University of Stellenbosch, 2005. / Bibliography. Also available via the Internet.
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Noninteracting control synthesis applied to a basic automatic pilot systemRigby, Norman Carl, 1933- January 1960 (has links)
No description available.
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An adaptive pitch axis autopilot design for an unstable nonminimum phase pitch axis modelChen, Long Ren 14 June 1990 (has links)
An adaptive pitch axis autopilot design procedure is presented. The
design procedure is applicable to both stable and unstable pitch axis models
and to those having nonminimum phase. The design approach assumes
the adaptive autopilot is activated after achieving level flight. It is shown a
rate-feedback compensator can be designed to ensure stable level flight
pitch axis operation for the entire desired flight regime. The adaptive
control loop design utilizes a pole-placement algorithm. The closed-loop
characteristic polynomial is designed to have dominant poles of that of an
ideal second order system to obtain the desired transient response. The
identification of the system uses a modified least-squares algorithm with a
variable forgetting factor. The nonlinear pitch axis model is used in
simulations to evaluate the design. Command response tests include the
step response and the ramp command response.
Simulation results indicate that the adaptive pitch axis autopilot is
capable of tracking altitude commands after activation. The closed-loop
system response is close to that of the ideal second order system having the
dominant poles. / Graduation date: 1991
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Aircraft autopilot design using a sampled-data gain scheduling techniqueWang, Chao. January 1999 (has links)
Thesis (M.S.)--Ohio University, March, 1999. / Title from PDF t.p.
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Rotorcraft trim by a neural model-predictive auto-pilotRiviello, Luca. January 2005 (has links) (PDF)
Thesis (M. S.)--Aerospace Engineering, Georgia Institute of Technology, 2005. / Bottasso, Carlo, Committee Chair ; Hodges, Dewey, Committee Member ; Bauchau, Olivier, Committee Member. Includes bibliographical references.
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Adaptive quaternion control for a miniature tailsitter UAV /Knoebel, Nathan B., January 2007 (has links) (PDF)
Thesis (M.S.)--Brigham Young University. Dept. of Mechanical Engineering, 2007. / Includes bibliographical references (p. 127-130).
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Autonomous flight of a model aircraftPeddle, Iain K. 03 1900 (has links)
Thesis (MScEng (Electrical and Electronic Engineering))--Stellenbosch University, 2005. / The successful development of a conventional flight autopilot for a model aircraft is presented.
All aspects of the autopilot design are considered, from modeling to flight tests.
A mathematical aircraft model, as a function of the aircraft’s physical parameters alone,
is presented. A controller architecture capable of regulating the motion variables required
for conventional flight using only low cost, off-the-shelf sensors is developed. The controller
design complements the aircraft model development technique used, by reducing
the sensitivity of the controller performance to the model accuracy.
The avionics and ground station design is presented. The avionics includes a generic
Inertial Measurement Unit (IMU). The total avionics cost is only R5000.
Results from three days of flight tests demonstrate the autopilot’s success. Its rapid
success can largely be attributed to the extensive simulations of the entire autopilot in
the two non-linear simulators developed.
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