Intelligent optimization methods are applied to the problem of real-time flight control for a class of airbreathing hypersonic vehicles (AHSV). The extreme flight conditions that will be encountered by single-stage-to-orbit vehicles, such as the National Aerospace Plane, present a tremendous challenge to the entire spectrum of aerospace technologies. Flight control for these vehicles is particularly difficult due to the combination of nonlinear dynamics, complex constraints, and parametric uncertainty. An approach that utilizes all available a priori and in-flight information to perform robust, real time, short-term trajectory planning is presented.
Robust Intelligent Flight Control for Hypersonic Vehicles
1992
348 pages
Report
Keine Angabe
Englisch
Aircraft , Manned Spacecraft , Aerospace planes , Flight control , Hypersonic vehicles , Spacecraft control , Air breathing engines , Control systems design , Real time operation , Single stage to orbit vehicles , Trajectory planning , Artificial intelligence , Nonlinearity , Optimal control , Robustness (Mathematics) , Theses
Robust intelligent flight control for hypersonic vehicles
TIBKAT | 1992
|The Application of Intelligent Search Strategies to Robust Flight Control for Hypersonic Vehicles
British Library Conference Proceedings | 1993
|