Optimal Trajectory and En-Route Contingency Planning for Urban Air Mobility Considering Battery Energy Levels

Kim, Seulki; Harris, Caleb; Justin, Cedric Y.; Mavris, Dimitri N.

Title:

Optimal Trajectory and En-Route Contingency Planning for Urban Air Mobility Considering Battery Energy Levels

dc.contributor.author	Kim, Seulki
dc.contributor.author	Harris, Caleb
dc.contributor.author	Justin, Cedric Y.
dc.contributor.author	Mavris, Dimitri N.
dc.contributor.corporatename	Georgia Institute of Technology. Aerospace Systems Design Laboratory	en_US
dc.contributor.corporatename	American Institute of Aeronautics and Astronautics
dc.contributor.corporatename	Georgia Institute of Technology. Aerospace Systems Design Laboratory
dc.date.accessioned	2022-09-06T12:22:40Z
dc.date.available	2022-09-06T12:22:40Z
dc.date.issued	2022-06
dc.description	Copyright © 2022 by Seulki Kim, Caleb Harris, Cedric Y. Justin, and Dimitri Mavris . Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.	en_US
dc.description	Presented at the AIAA Aviation Forum, June 27-July 1, 2022, Chicago, IL & Virtual	en_US
dc.description.abstract	Urban Air Mobility (UAM) is an electric propelled, vertical takeoff and landing (eVTOL) aircraft envisioned for transporting passengers and goods within metropolitan areas. Planning UAM flights will not be easy as unexpected wind turbulence from high-altitude structures may impact the vehicles operating at a low altitude. Furthermore, considering the short travel time of the UAM, smart and safe decision-making will be challenging, particularly in off-nominal situations that force the aircraft to divert to an alternate destination instead of landing at the initially planned destination. To overcome these challenges, this research proposes automated pre-flight and in-flight contingency planning systems to assist in both normal and irregular UAM operations. A planner in the pre-flight planning system optimizes an aerial trajectory between the scheduled origin and destination, avoiding restricted high-level structures and estimating energy levels. In the contingency planning system, an in-flight replanner produces several optimal trajectories from where the diversion is declared to each alternate destination candidate. A diversion decision-making tool then scores a list of candidates and selects the best site for diversion. Real-world operational scenarios in the city of Miami are presented to demonstrate the capability of the proposed framework.	en_US
dc.identifier.citation	Kim, Seulki, et al. "Optimal Trajectory and En-Route Contingency Planning for Urban Air Mobility Considering Battery Energy Levels." AIAA AVIATION 2022 Forum. 2022. DOI: https://doi.org/10.2514/6.2022-3415	en_US
dc.identifier.doi	https://doi.org/10.2514/6.2022-3415	en_US
dc.identifier.uri	http://hdl.handle.net/1853/67349
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.publisher	Georgia Institute of Technology
dc.publisher.original	American Institute of Aeronautics and Astronautics (AIAA)
dc.subject	Urban Air Mobility	en_US
dc.subject	eVTOL	en_US
dc.subject	Pre-Flight Planning	en_US
dc.subject	Contingency Planning	en_US
dc.subject	Diversion Decision-Making	en_US
dc.title	Optimal Trajectory and En-Route Contingency Planning for Urban Air Mobility Considering Battery Energy Levels	en_US
dc.type	Text
dc.type.genre	Paper
dspace.entity.type	Publication
local.contributor.author	Mavris, Dimitri N.
local.contributor.corporatename	Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename	Aerospace Systems Design Laboratory (ASDL)
local.contributor.corporatename	College of Engineering
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