An Obstacle Avoidance Trajectory Planning Methodology Based on Energy Minimization (OTPEM) for the Tilt-Wing eVTOL in the Takeoff Phase

Electric tilt-wing flying cars are an efficient, economical, and environmentally friendly solution to urban traffic congestion and travel efficiency issues. This article addresses the high energy consumption and obstacle interference during the takeoff phase of the tilt-wing eVTOL (electric Vertical...

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Veröffentlicht in:World electric vehicle journal Jg. 15; H. 7; S. 300
Hauptverfasser: Zheng, Guangyu, Li, Peng, Wu, Dongsu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.07.2024
Schlagworte:
Algorithms
Aviation
Dimensional stability
Energy consumption
eVTOL
Flying automobiles
Genetic algorithms
Heuristic
Military aircraft
Obstacle avoidance
Optimization
Optimization models
Planning
Quadratic programming
Robustness (mathematics)
SLSQP
takeoff phase
Traffic congestion
Trajectory analysis
Trajectory planning
Unmanned aerial vehicles
Vertical takeoff
ISSN:2032-6653, 2032-6653
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Abstract Electric tilt-wing flying cars are an efficient, economical, and environmentally friendly solution to urban traffic congestion and travel efficiency issues. This article addresses the high energy consumption and obstacle interference during the takeoff phase of the tilt-wing eVTOL (electric Vertical Takeoff and Landing), proposing a trajectory planning method based on energy minimization and obstacle avoidance. Firstly, based on the dynamics analysis, the relationship between energy consumption, spatial trajectory, and obstacles is sorted out and the decision variables for the trajectory planning problem with obstacle avoidance are determined. Secondly, based on the power discretization during the takeoff phase, the energy minimization objective function is established and the constraints of performance limitations and spatial obstacles are derived. Thirdly, by integrating the optimization model with the SLSQP (Sequential Least Squares Quadratic Programming algorithm), the second-order sequential quadratic programming model and decision variable update equations are derived, establishing the solution process for the trajectory planning problem of the tilt-wing eVTOL takeoff with obstacle avoidance. Finally, the Airbus Vahana A3 is taken as an example to verify and validate the effectiveness, stability, and robustness of the model and optimization algorithm proposed. The validation results show that the OTPEM (obstacle avoidance trajectory planning methodology based on energy minimization) can effectively handle changes in the takeoff end state and exhibits good stability and robustness in different obstacle environments. It can provide a certain reference for the three-dimensional obstacle avoidance trajectory planning of Airbus Vahana A3 and other tilt-wing eVTOL trajectory planning problems.
AbstractList Electric tilt-wing flying cars are an efficient, economical, and environmentally friendly solution to urban traffic congestion and travel efficiency issues. This article addresses the high energy consumption and obstacle interference during the takeoff phase of the tilt-wing eVTOL (electric Vertical Takeoff and Landing), proposing a trajectory planning method based on energy minimization and obstacle avoidance. Firstly, based on the dynamics analysis, the relationship between energy consumption, spatial trajectory, and obstacles is sorted out and the decision variables for the trajectory planning problem with obstacle avoidance are determined. Secondly, based on the power discretization during the takeoff phase, the energy minimization objective function is established and the constraints of performance limitations and spatial obstacles are derived. Thirdly, by integrating the optimization model with the SLSQP (Sequential Least Squares Quadratic Programming algorithm), the second-order sequential quadratic programming model and decision variable update equations are derived, establishing the solution process for the trajectory planning problem of the tilt-wing eVTOL takeoff with obstacle avoidance. Finally, the Airbus Vahana A3 is taken as an example to verify and validate the effectiveness, stability, and robustness of the model and optimization algorithm proposed. The validation results show that the OTPEM (obstacle avoidance trajectory planning methodology based on energy minimization) can effectively handle changes in the takeoff end state and exhibits good stability and robustness in different obstacle environments. It can provide a certain reference for the three-dimensional obstacle avoidance trajectory planning of Airbus Vahana A3 and other tilt-wing eVTOL trajectory planning problems.
Author Wu, Dongsu
Li, Peng
Zheng, Guangyu
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Cites_doi 10.1016/j.comcom.2019.10.016
10.2514/6.2018-2008
10.3390/drones7050319
10.1016/j.tbs.2019.07.003
10.2514/6.2021-0577
10.1504/IJSA.2019.101746
10.1016/j.simpat.2009.10.006
10.1109/ICUAS48674.2020.9213956
10.2514/1.C035476
10.2514/6.2020-3271
10.2139/ssrn.4730292
10.1016/j.geits.2024.100150
10.1109/MCOM.004.2300061
10.2514/6.2023-2096
10.1109/ICAI52893.2021.9639807
ContentType Journal Article
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References Zhou (ref_8) 2020; 149
Chauhan (ref_18) 2020; 57
ref_14
Duan (ref_11) 2010; 18
ref_13
ref_12
Vieira (ref_10) 2019; 5
ref_1
Yan (ref_16) 2017; 49
ref_3
ref_19
Eker (ref_2) 2020; 19
Misra (ref_5) 2022; 2022
ref_17
ref_15
Zhang (ref_4) 2024; 3
ref_9
Zaid (ref_7) 2023; 61
ref_6
References_xml – ident: ref_3
– volume: 149
  start-page: 356
  year: 2020
  ident: ref_8
  article-title: An evaluative review of the VTOL technologies for unmanned and manned aerial vehicles
  publication-title: Comput. Commun.
  doi: 10.1016/j.comcom.2019.10.016
– ident: ref_17
  doi: 10.2514/6.2018-2008
– ident: ref_6
  doi: 10.3390/drones7050319
– volume: 19
  start-page: 54
  year: 2020
  ident: ref_2
  article-title: An exploratory investigation of public perceptions towards key benefits and concerns from the future use of flying cars
  publication-title: Travel Behav. Soc.
  doi: 10.1016/j.tbs.2019.07.003
– ident: ref_15
  doi: 10.2514/6.2021-0577
– volume: 5
  start-page: 101
  year: 2019
  ident: ref_10
  article-title: Electric VTOL aircraft: The future of urban air mobility (background, advantages and challenges)
  publication-title: Int. J. Sustain. Aviat.
  doi: 10.1504/IJSA.2019.101746
– volume: 18
  start-page: 1104
  year: 2010
  ident: ref_11
  article-title: Three-dimension path planning for UCAV using hybrid meta-heuristic ACO-DE algorithm
  publication-title: Simul. Model. Pract. Theory
  doi: 10.1016/j.simpat.2009.10.006
– ident: ref_12
  doi: 10.1109/ICUAS48674.2020.9213956
– volume: 2022
  start-page: 1803638
  year: 2022
  ident: ref_5
  article-title: A Review on Vertical Take-Off and Landing (VTOL) Tilt-Rotor and Tilt Wing Unmanned Aerial Vehicles (UAVs)
  publication-title: J. Eng.
– volume: 57
  start-page: 93
  year: 2020
  ident: ref_18
  article-title: Tilt-wing eVTOL takeoff trajectory optimization
  publication-title: J. Aircr.
  doi: 10.2514/1.C035476
– ident: ref_1
– ident: ref_14
  doi: 10.2514/6.2020-3271
– ident: ref_19
  doi: 10.2139/ssrn.4730292
– volume: 3
  start-page: 100150
  year: 2024
  ident: ref_4
  article-title: Overall eVTOL aircraft design for urban air mobility
  publication-title: Green Energy Intell. Transp.
  doi: 10.1016/j.geits.2024.100150
– volume: 61
  start-page: 154
  year: 2023
  ident: ref_7
  article-title: eVTOL communications and networking in UAM: Requirements, key enablers, and challenges
  publication-title: IEEE Commun. Mag.
  doi: 10.1109/MCOM.004.2300061
– volume: 49
  start-page: 38
  year: 2017
  ident: ref_16
  article-title: Trajectory optimization for short takeoff and single-engine failure landing of tiltrotor aircraft
  publication-title: J. Harbin Inst. Technol.
– ident: ref_9
  doi: 10.2514/6.2023-2096
– ident: ref_13
  doi: 10.1109/ICAI52893.2021.9639807
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SubjectTerms Algorithms
Aviation
Dimensional stability
Energy consumption
eVTOL
Flying automobiles
Genetic algorithms
Heuristic
Military aircraft
Obstacle avoidance
Optimization
Optimization models
Planning
Quadratic programming
Robustness (mathematics)
SLSQP
takeoff phase
Traffic congestion
Trajectory analysis
Trajectory planning
Unmanned aerial vehicles
Vertical takeoff
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Title An Obstacle Avoidance Trajectory Planning Methodology Based on Energy Minimization (OTPEM) for the Tilt-Wing eVTOL in the Takeoff Phase
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