Open AccessResearch on Flight Trajectory Optimization Based on Quantum Genetic Algorithm
Author(s) -
Yibo Li,
Shuaitao Qin,
Jing Lei
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/2/022074
Subject(s) - trajectory optimization , descent (aeronautics) , trajectory , fuel efficiency , genetic algorithm , kinematics , computer science , nonlinear programming , control theory (sociology) , optimal control , nonlinear system , mathematical optimization , engineering , control (management) , aerospace engineering , mathematics , artificial intelligence , physics , classical mechanics , astronomy , quantum mechanics
Taking the passenger aircraft A320 as the research object, the trajectory optimization of the aircraft climbing section under wind disturbance is carried out. Through the analysis of the aircraft’s descent process, the kinematics model, fuel consumption model and atmospheric model of the aircraft are established, and the objective function and constraints of the problem are obtained. The quantum genetic algorithm is used to transform the optimal control problem into a nonlinear programming problem. The optimal trajectory of the aircraft’s shortest descent time is obtained by simulation. The effects of different cost indices on the fall time and fuel consumption are discussed.