(Georgia Institute of Technology, 2008-03)
Johnson, Eric N.; Wu, Allen D.; Neidhoefer, James C.; Kannan, Suresh K.; Turbe, Michael A.
Linear systems can be used to adequately model and control an aircraft in either ideal steady-level flight or in ideal
hovering flight. However, constructing a single unified system capable of adequately modeling or controlling an
airplane in steady-level flight and in hovering flight, as well as during the highly nonlinear transitions between the
two, requires the use of more complex systems, such as scheduled-linear, nonlinear, or stable adaptive systems. This
paper discusses the use of dynamic inversion with real-time neural network adaptation as a means to provide a single
adaptive controller capable of controlling a fixed-wing unmanned aircraft system in all three flight phases: steady-level
flight, hovering flight, and the transitions between them. Having a single controller that can achieve and
transition between steady-level and hovering flight allows utilization of the entire low-speed flight envelope, even
beyond stall conditions. This method is applied to the GTEdge, an eight-foot wingspan, fixed-wing unmanned
aircraft system that has been fully instrumented for autonomous flight. This paper presents data from actual flight-test
experiments in which the airplane transitions from high-speed, steady-level flight into a hovering condition and
then back again.