Flight path planning has become a significant subject of smart control. Because of system constraints, the location system of such airplane cannot precisely position. When the location error increase to a certain extent, the task could fail. Therefore, it is an key task in flight path to correct the location error. This paper processes the data given on attached annex 1 according to constraints, calculates the direct distance of any two samples and eliminates the path with a distance greater than 30,000 m between samples and a distance greater than 200,000 m from the target point. The 1000 feasible paths were generated by MATLAB as samples, and gradually iterated according to the genetic algorithm. Finally, the shortest route and the minimal correction points was obtained. The aircraft passed nine calibration points during this period, which is the optimal path. That is (A, 417, 210, 148, 155, 142, 254, 403, 594, 501, B), the track distance is 108.7758 km and the algorithm running time is 234.815 s.
Flight Path Planning of Aircraft Under Multiple Constraints Based on Genetic Algorithm
Lect. Notes on Data Eng. and Comms.Technol.
International Conference on Applications and Techniques in Cyber Intelligence ; 2022 ; Fuyang, China June 19, 2022 - June 20, 2022
Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022) ; Chapter : 109 ; 919-926
2023-04-08
8 pages
Article/Chapter (Book)
Electronic Resource
English
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