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A path planning approach to noise-minimal rotoracft landing trajectories
| Content Provider | Semantic Scholar |
|---|---|
| Author | Morris, Robert A. Johnson, Matthew Venable, Kristen Brent Lindsey, James |
| Copyright Year | 2013 |
| Abstract | NASA and the international aviation community are investing in the development of a commercial transportation infrastructure that includes the increased use of rotorcraft, specifically helicopters and civil tilt rotors. However, there is significant concern over the impact of noise on the communities surrounding the transportation facilities. In this paper we address the rotorcraft noise problem by exploiting a powerful search technique coming from artificial intelligence coupled with simulation to design low-noise flight profiles which can be tested in through field tests. In particular, this paper investigates the use of simulation based on predictive physical models, combined with the A* path planning algorithm to design for low-noise approach trajectories for rotorcraft. Novel features of our approach include the use a discrete search space with a resolution that can be varied, and the coupling of search with a robust simulator to evaluate candidates. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://robotics.estec.esa.int/IWPSS/IWPSS_2013/IPWSS_2013_Proceedings/20_Morris.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
