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Trajectory Generation for Distributed Electric Propulsion Vehicles with Propeller SynchronizationIn this paper, we propose a method for generating dynamically feasible trajectories for an acoustically aware vehicle with propeller phase control. The trajectory generation procedure allows both propeller phase control and navigation objectives to be considered simultaneously. The presented method is demonstrated where the mission objectives are given as a desired position and phase trajectory. From these trajectories, the full desired state of the vehicle is calculated. Furthermore, the control inputs that realize the desired mission objectives are computed. The acoustic performance for the given trajectory is estimated in terms of sound pressure level as a function of tracking performance. The method is demonstrated in simulation, where the vehicle must navigate through an urban environment with both spatial and acoustic constraints. In the presented scenario, the vehicle must follow a given flight path, and can only reduce sound pressure level by changing the propeller phase targets.
Document ID
20205010544
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Andrew P. Patterson
(University of Illinois at Urbana Champaign Urbana, Illinois, United States)
Kasey A. Ackerman
(Langley Research Center Hampton, Virginia, United States)
Naira Hovakimyan
(University of Illinois at Urbana Champaign Urbana, Illinois, United States)
Irene M. Gregory
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
November 22, 2020
Subject Category
Aircraft Stability And Control
Meeting Information
Meeting: AIAA SciTech Forum
Location: Online
Country: US
Start Date: January 11, 2021
End Date: January 21, 2021
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 664817.02.07.03.02.04
CONTRACT_GRANT: 80NSSC20M0229
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
acoustically-aware vehicle
Phase control
UAM
acoustically-aware trajectory
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