Flight-Test Results of Autonomous Airplane Transitions Between Steady-Level and Hovering Flight

Autor: Allen D. Wu, Eric N. Johnson, Michael A. Turbe, James C. Neidhoefer, Suresh K. Kannan
Rok vydání: 2008
Předmět:
Zdroj: Journal of Guidance, Control, and Dynamics. 31:358-370
ISSN: 1533-3884
0731-5090
DOI: 10.2514/1.29261
Popis: 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.
Databáze: OpenAIRE