On Feb 14, 2012, the Autonomous Systems and Robotics Planning and Scheduling Group presented a technical overview and summary of recent experimental results on designing optimal rotorcraft trajectories for noise abatement to members of the Aeroacoustics Branch (AAB) at Langley Research Center.
BACKGROUND: The goal of this work is to apply state-of-the-art techniques in constraint optimization to design rotorcraft approach trajectories that minimize predicted ground noise. To evaluate candidate trajectories, a robust simulator of ground noise (Rotorcraft Noise Model) is used. Some of the search techniques the group is investigating include 3D path planning algorithms, such as A and D, as well as sampling-based approaches including Probabilistic Road Maps. The group is also expanding efforts to model and visualize real landing environments and importing GIS data and building constraint maps based on land usage codes. This will allow for the generation of trajectories that adhere to airspace constraints, such as approach corridors for active runways at airports, as well as respecting land use restrictions, such as proximity to hospitals.
NASA PROGRAM FUNDING: Fundamental Aeronautics Program
TEAM: Robert Morris (Ames), Matthew Johnson (Florida Institute for Human and Machine Cognition), and K. Brent Venable (University of Padua, Italy)
Contact: Robert Morris