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10 October 2023 Design of optimization method for vertical profile of large civil aircraft based on genetic algorithm: pattern search algorithm
Zhiyi Li, Feizhou Qu
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Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127992Y (2023) https://doi.org/10.1117/12.3006296
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
In order to reduce the fuel cost during the whole flight when the starting point coordinates and the terminal point coordinates are given, the vertical guidance mode is first designed for climb phase, cruise phase and descent phase, and based on this, the flight performance database of each phase is established for a certain type of aircraft. Then, combining the advantages of genetic algorithm and pattern search algorithm, a vertical profile optimization algorithm based on GA-pattern search algorithm is proposed. After that, based on the flight performance database, this algorithm is used to find the least fuel vertical profile. Through Matlab Simulation, it is verified that the flight path optimization effect is good, the aircraft not only reached the designated point along the optimized flight path, but also achieved the least fuel target.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zhiyi Li and Feizhou Qu "Design of optimization method for vertical profile of large civil aircraft based on genetic algorithm: pattern search algorithm", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127992Y (10 October 2023); https://doi.org/10.1117/12.3006296
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KEYWORDS
Mathematical optimization
Genetic algorithms
Databases
Computer simulations
Design and modelling
Control systems
Navigation systems
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