In this chapter is considered the problem of generation of time efficient trajectories for N aircraft performing merging maneuvers behind a leading aircraft. The resulting multi trajectory generation problem is first considered as a minimum time control problem. The analysis of the resulting set of complex optimality conditions shows that the minimum time trajectories are produced by bang-bang control laws and can be characterized by few geometric parameters. Based on these considerations, a merging sequence is established for the N aircraft. Then regular minimum time convergence trajectories can be defined for each aircraft following a target generated by its own predecessor. For practical considerations it appears necessary to solve on-line this problem. An off-line exhaustive solution approach, based on reverse dynamic programming is proposed to cover a large set of initial relative positions. Then feed forward neural networks can be trained to generate on board each aircraft guidance directives to perform efficiently the overall merging maneuver.


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    Title :

    Trajectory generation for relative guidance of merging aircraft


    Additional title:

    Trajektoriengenerierung für die gegenseitige Steuerung zusammenarbeitender Flugzeuge


    Contributors:


    Publication date :

    2009


    Size :

    16 Seiten, 12 Bilder, 1 Tabelle, 12 Quellen





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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