Cargo Delivery in by Passenger eVTOL Aircraft: A Case Study in the San Francisco Bay Area

German, Brian; Daskilewicz, Matthew J.; Hamilton, Thomas; Warren, Matthew

doi:10.2514/6.2018-2006

Cited by 45 publications

(16 citation statements)

References 2 publications

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“…We start by deriving the dual of linear program (8). Let the Lagrangian be defined as L(X, U, V, p, q) = c X1 d − tr(V EX) + tr(V S) − tr(U X) + p (X1 d − f ) + q (DX1 d − g).…”

Section: Appendix a Proof Of Propositionmentioning

confidence: 99%

“…The input of the selection includes a set of candidate vertiports (usually generated by clustering algorithms [4], [5], [6]) and the budget of the total number of vertiports. The output of the selection is a set of selected vertiports that optimizes certain performance metric of the air transportation network supported by the selected vertiports, such as the savings in total travel time [7] and the package demand served by the aircraft [8].…”

Section: Introductionmentioning

confidence: 99%

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Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints

Yu¹,

Wang²,

Mesbahi³

et al. 2022

Preprint

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Urban Air Mobility is a concept that promotes aerial modes of transport in urban areas. In these areas, the location and capacity of the vertiports-where the travelers embark and disembark the aircraft-not only affect the flight delays of the aircraft, but can also aggravate the congestion of ground vehicles by creating extra ground travel demands. We introduce a mathematical model for selecting the vertiports location and capacity that minimizes the traffic congestion in hybrid air-ground transportation networks. Our model is based on a mathematical program with bilinear equilibrium constraints. Furthermore, we show how to compute a global optimal solution of this mathematical program by solving a mixed integer linear program. We demonstrate our results via the Anaheim transportation network model, which contains more than 400 nodes and 900 links.

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“…We start by deriving the dual of linear program (8). Let the Lagrangian be defined as L(X, U, V, p, q) = c X1 d − tr(V EX) + tr(V S) − tr(U X) + p (X1 d − f ) + q (DX1 d − g).…”

Section: Appendix a Proof Of Propositionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints

Yu¹,

Wang²,

Mesbahi³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Equipped with distributed electric propulsion system, eVTOL vehicles use multiple electric motors and propellers to provide the lift force for vertical take-off and landing, which has been adopted by many leading eVTOL companies, for example, Boeing Aurora, Airbus A3, Joby Aviation, and Lilium. At the same time, eVTOL-related areas are widely investigated, including market prediction, 1 voyage planning, [2][3][4][5] power and energy modeling and optimization, [6][7][8][9][10][11] dynamics analysis, 12 and failure study. 13 Compared with a traditional helicopter, an eVTOL vehicle has not only enhanced diversification of power distribution, including position and tilting freedom, but also fast-response electric motors.…”

Section: Introductionmentioning

confidence: 99%

Adaptive model predictive control of a six-rotor electric vertical take-off and landing urban air mobility aircraft subject to motor failure during hovering

Zhu

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this article, motor failure control of a six-rotor electric vertical take-off and landing (eVTOL) urban air mobility aircraft is investigated using adaptive model predictive control (MPC) based on the linear parameter-varying (LPV) model developed using the nonlinear rigid-body aircraft model. For capturing the aircraft dynamics under motor failure conditions, a family of linearized models are obtained by trimming the nonlinear aircraft model at multiple equilibrium conditions and the LPV model is obtained by linking the linear models using the failed rotor speed, where the system transition from healthy to failure is modeled by a scheduling parameter calculated based on failed rotor speed caused by available motor peak power after failure. The proposed adaptive MPC is developed to optimize the system output performance, including the rigid-body aircraft velocity and altitude, by using quadratic programming optimization with reference compensation subject to a set of time-varying constraints representing the current available propeller acceleration calculated based on the motor power. Simulation study is conducted based on the developed LPV control design and original nonlinear rigid-body model, and the simulation results demonstrate that the designed adaptive MPC controller is able to recover and maintain the aircraft at desired stable condition after motor failure.

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“…This has led to an increase in interest in alternate modes of travel, including small vertical take-off and landing (VTOL) aircraft designed for the urban environment. 1,2 To meet the needs of this design space, it has been found that fully electric or hybrid-electric vehicles potentially offer increased performance with decreased cost. 3 NASA has invested in developing a suite of concept vehicles meant to represent the technology required for such missions.…”

Section: Introductionmentioning

confidence: 99%

Multi-point Design and Optimization of a Turboshaft Engine for Tiltwing Turboelectric VTOL Air Taxi

Chapman

2019

AIAA Scitech 2019 Forum

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Cargo Delivery in by Passenger eVTOL Aircraft: A Case Study in the San Francisco Bay Area

Cited by 45 publications

References 2 publications

Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints

Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints

Adaptive model predictive control of a six-rotor electric vertical take-off and landing urban air mobility aircraft subject to motor failure during hovering

Multi-point Design and Optimization of a Turboshaft Engine for Tiltwing Turboelectric VTOL Air Taxi

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