A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory Optimization
4D flight trajectory optimization is an essential component to improve flight efficiency and to enhance air traffic capacity. this technique not only helps to reduce the operational costs, but also helps to reduce the environmental impact caused by the airliners. This study considers Dynamic Program...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/8/5/135 |
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| author | Kawser Ahmed Kouamana Bousson Milca de Freitas Coelho |
| author_facet | Kawser Ahmed Kouamana Bousson Milca de Freitas Coelho |
| author_sort | Kawser Ahmed |
| collection | DOAJ |
| description | 4D flight trajectory optimization is an essential component to improve flight efficiency and to enhance air traffic capacity. this technique not only helps to reduce the operational costs, but also helps to reduce the environmental impact caused by the airliners. This study considers Dynamic Programming (DP), a well-established numerical method ideally suited to solve 4D flight Trajectory Optimization Problems (TOPs). However, it bears some shortcomings that prevent the use of DP in many practical real-time implementations. This paper proposes a Modified Dynamic Programming (MDP) approach that reduces the computational effort and overcomes the drawbacks of the traditional DP. In this paper, two numerical examples with fixed arrival times are presented, where the proposed MDP approach is successfully implemented to generate optimal trajectories that minimize aircraft fuel consumption and emissions. Then the obtained optimal trajectories are compared with the corresponding reference commercial flight trajectory for the same route in order to quantify the potential benefit of reduction of aircraft fuel consumption and emissions. |
| first_indexed | 2024-03-10T11:31:27Z |
| format | Article |
| id | doaj.art-2aaf32713c1649a2b14f39c35f1ffc51 |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-10T11:31:27Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-2aaf32713c1649a2b14f39c35f1ffc512023-11-21T19:11:57ZengMDPI AGAerospace2226-43102021-05-018513510.3390/aerospace8050135A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory OptimizationKawser Ahmed0Kouamana Bousson1Milca de Freitas Coelho2LAETA/UBI AeroG, Laboratory of Avionics and Control, Department of Aerospace Sciences, University of Beira Interior, 6201-001 Covilhã, PortugalLAETA/UBI AeroG, Laboratory of Avionics and Control, Department of Aerospace Sciences, University of Beira Interior, 6201-001 Covilhã, PortugalLAETA/UBI AeroG, Laboratory of Avionics and Control, Department of Aerospace Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal4D flight trajectory optimization is an essential component to improve flight efficiency and to enhance air traffic capacity. this technique not only helps to reduce the operational costs, but also helps to reduce the environmental impact caused by the airliners. This study considers Dynamic Programming (DP), a well-established numerical method ideally suited to solve 4D flight Trajectory Optimization Problems (TOPs). However, it bears some shortcomings that prevent the use of DP in many practical real-time implementations. This paper proposes a Modified Dynamic Programming (MDP) approach that reduces the computational effort and overcomes the drawbacks of the traditional DP. In this paper, two numerical examples with fixed arrival times are presented, where the proposed MDP approach is successfully implemented to generate optimal trajectories that minimize aircraft fuel consumption and emissions. Then the obtained optimal trajectories are compared with the corresponding reference commercial flight trajectory for the same route in order to quantify the potential benefit of reduction of aircraft fuel consumption and emissions.https://www.mdpi.com/2226-4310/8/5/1354D flight trajectorytrajectory optimizationdynamic programmingfuel-efficientaircraft emissions |
| spellingShingle | Kawser Ahmed Kouamana Bousson Milca de Freitas Coelho A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory Optimization Aerospace 4D flight trajectory trajectory optimization dynamic programming fuel-efficient aircraft emissions |
| title | A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory Optimization |
| title_full | A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory Optimization |
| title_fullStr | A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory Optimization |
| title_full_unstemmed | A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory Optimization |
| title_short | A Modified Dynamic Programming Approach for 4D Minimum Fuel and Emissions Trajectory Optimization |
| title_sort | modified dynamic programming approach for 4d minimum fuel and emissions trajectory optimization |
| topic | 4D flight trajectory trajectory optimization dynamic programming fuel-efficient aircraft emissions |
| url | https://www.mdpi.com/2226-4310/8/5/135 |
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