Combining NLP and MILP in Vertical Flight Planning

2017 ◽  
pp. 273-278
Author(s):  
Liana Amaya Moreno ◽  
Zhi Yuan ◽  
Armin Fügenschuh ◽  
Anton Kaier ◽  
Swen Schlobach
Keyword(s):  
Flight Planning

The Visibility of Stars during Twilight

1957 ◽  
Vol 10 (1) ◽  
pp. 11-16 ◽  
Author(s):  
Peter M. Millman
Keyword(s):  
Magnetic Compass ◽  
The Arctic ◽  
Relative Importance ◽  
The Moon ◽  
Heavenly Body ◽  
Flight Planning ◽  
Arctic Navigation

One of the problems in arctic navigation by astro is the twilight period. At this time, if the Moon is below the horizon, suitable objects for sextant observation are not easy to find. The difficulty is aggravated by the fact that on certain flight paths the arctic twilight may last for many hours. It must also be remembered that in these areas the behaviour of the magnetic compass and of radio aids are often unreliable and this increases the relative importance of astro-navigation. With the introduction of the periscopic sextant into air navigation it has become possible to pre-set the instrument for a given star or planet and satisfactory observations may be possible when the heavenly body is still below the level of casual perception for the unaided eye. In this connection it is necessary to know what stars are likely to be seen under twilight conditions if efficient flight-planning is to be carried out.

ON THE USE OF WINDS IN FLIGHT PLANNING

1949 ◽  
Vol 6 (2) ◽  
pp. 150-159 ◽  
Author(s):  
Kenneth J. Arrow
Keyword(s):  
Flight Planning

A 4D Augmented Flight Management System Based on Flight Planning and Trajectory Generation Merging

2020 ◽  
pp. 184-195
Author(s):  
Hortense Ollivier-Legeay ◽  
Abdessamad Ait El Cadi ◽  
Nicolas Belanger ◽  
David Duvivier
Keyword(s):  
Management System ◽  
Trajectory Generation ◽  
Flight Planning

scholarly journals Improving the algorithm for determining the areas of operation of long-range aircraft

2020 ◽  
Vol 23 (6) ◽  
pp. 40-52
Author(s):  
K. A. Kuts
Keyword(s):  
Long Range ◽  
Russian Federation ◽  
Main Type ◽  
Specific Function ◽  
Planning Systems ◽  
Microsoft Excel ◽  
Flight Planning ◽  
The Russian Federation ◽  
Selection Of

The determination of operation area from en-route alternates for long-range airline aircraft is an important aspect of ensuring safety of the upcoming flight. In the domestic and foreign methodological literature on flight planning, including the guidance material for flight planning systems, there is no single reasonable algorithm for constructing operation areas of long-range aircraft, including the use of the EDTO-ETOPS rules. The lack of methodological materials leads to the «free» values determination of areas of operation by airlines for their long-range aircraft while building routes, in particular, when determining the areas of operation on the route, the decrease in the aircraft weight during fuel combustion is ignored. A big question is also the «initial» mass calculations to determine the value of operation areas. The article identifies shortcomings of existing algorithm for identifying the areas of operation based on the fundamental methods for determining area of operation. Microsoft Excel 2019 has been used to perform a polynomial approximation of the table-specific function of the dependence of operation radius on the mass of a long-range aircraft. Based on the certain equations, more advanced algorithm to determine areas of operation has been developed. The new algorithm pays special attention to the selection of the original value of operation area. The calculations in this article are made for the Boeing 777 as the main type of long-range aircraft operated by airlines in the Russian Federation. The developed algorithm increases the flexibility of the route by increasing the radius of operation areas from en-route alternates and can be used in flight planning systems of airlines.

scholarly journals THREE-DIMENSIONAL PATH PLANNING OF UAVS IMAGING FOR COMPLETE PHOTOGRAMMETRIC RECONSTRUCTION

2020 ◽  
Vol V-1-2020 ◽  
pp. 325-331
Author(s):  
S. Zhang ◽  
C. Liu ◽  
N. Haala
Keyword(s):  
Path Planning ◽  
3D Reconstruction ◽  
Three Dimensional ◽  
Planning Method ◽  
Multiple Views ◽  
Complex Environment ◽  
Flight Planning ◽  
Coarse Model ◽  
Imaging Sensors ◽  
Ship Lock

Abstract. Lightweight unmanned aerial vehicles (UAVs) have been widely used in image acquisition for 3D reconstruction. With the availability of compact and high-end imaging sensors, UAVs can be the platform for precise photogrammetric reconstruction. However, the completeness and precision of complex environment or targets highly rely on the flight planning due to the self-occlusion of structures. Flight paths with back-and-forth pattern and nadir views will result in incompleteness and precision loss of the 3D reconstruction. Therefore, multiple views from different directions are preferred in order to eliminate the occlusion. We propose a 3D path planning method for multirotor UAVs aiming at capturing images for complete and precise photogrammetric 3D reconstructions. This method takes the coarse model from an initial flight as prior knowledge and estimates its completeness and precision. New imaging positions are then planned taking photogrammetric constraints into account. The real-world experiment on a ship lock shows that the proposed method can acquire a more complete result with similar precision compared with an existing 3D planning method.

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