Near-Optimal Trajectories to Manage Landing Sequence in the Vicinity of Controlled Aerodromes

Malaek, S.M.; Nabavi, S. Y.

doi:10.2514/1.44399

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…One approach expands the original 2D formulation into a 3D framework, but it does not deal with constraints in the climb rate or specific values of these climb rates corresponding to trim conditions, as is the case with motion primitives (Shanmugavel et al 2006). Another variation noted the lack of algebraic solutions for 3D planning using a Dubins airplane, and therefore considered genetic algorithms (Malaek and Nabavi 2010). Complete analogs to the Dubins car in 3D are still being developed to account for the shortest path between two points with associated heading constraints (Chitsaz and LaValle 2007) and heading and flight-path angle constraints (Ambrosino et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Path-Parameterization Approach Using Trajectory Primitives for Three-Dimensional Motion Planning

2013

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Motion planning determines trajectories for vehicles that link an initial location and heading with a final location and heading. Techniques for motion planning have been developed for two-dimensional maneuvering; however, they are less mature for three-dimensional maneuvering. The concept of motion primitives is particularly attractive for motion planning that determines trajectories as a set of maneuvers that satisfy differential constraints. This paper furthers work on a higher-level abstraction of trajectory primitives that consider sequences of motion primitives. In this paper, trajectory primitives are developed that deal with airspace constraints of an environment. The motion planning is shown to be an optimization involving a pair of trajectory primitives that is related by an intermediate waypoint. The resulting path is completely parameterized by the waypoint location.

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