Title :
Optimal trajectory generation for next generation flight management systems
Author :
Diaz-Mercado, Yancy ; Lee, Suk Gyu ; Egerstedt, M. ; Shih-Yih Young
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Next generation flight management systems require the compliance of temporal and spatial constraints on navigation performance. The problem of generating fuel-efficient trajectories for aircrafts that comply with the required navigation performance is approached from an optimal control framework. By deriving the necessary conditions for optimality, nominal optimal control signals can be generated in a computationally efficient manner. These control signals can be used to generate nominal trajectories for an aircraft model. Using the nominal control and nominal trajectory, a feedforward-feedback control scheme can be implemented to robustify the system´s response in the presence of uncertainty and disturbances to still achieve the required navigation performance. The feasibility of the approach is demonstrated through simulation and Monte Carlo runs.
Keywords :
Monte Carlo methods; air traffic control; aircraft navigation; feedback; feedforward; optimal control; trajectory control; Monte Carlo simulation; aircraft model; aircraft navigation performance; feedforward-feedback control scheme; fuel-efficient trajectories; next generation flight management systems; nominal optimal control signals; nominal trajectory; optimal control framework; optimal trajectory generation; spatial constraints; system response; temporal constraints; Aerospace control; Aircraft; Aircraft navigation; Atmospheric modeling; Computational modeling; Optimal control; Trajectory;
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
Conference_Location :
East Syracuse, NY
Print_ISBN :
978-1-4799-1536-1
DOI :
10.1109/DASC.2013.6712566