期刊
AEROSPACE SCIENCE AND TECHNOLOGY
卷 100, 期 -, 页码 -出版社
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ast.2020.105783
关键词
Aircraft conceptual design; Many-objective optimisation; Aircraft performance; Dynamic stability
资金
- Thailand Research Fund [RTA6180010]
- Defence Technology Institute, Thailand
- Royal Golden Jubilee Ph.D. program [PHD/0178/2560]
Many-objective optimisation is a design problem, having more than 3 objective functions, which is found to be difficult to solve. Implementation of such optimisation on aircraft conceptual design will greatly benefit a design team, as a great number of trade-off design solutions are provided for further decision making. In this paper, a many-objective optimisation problem for an unmanned aerial vehicle (UAV) is posed with 6 objective functions: take-off gross weight, drag coefficient, take off distance, power required, lift coefficient and endurance subject to aircraft performance and stability constraints. Aerodynamic analysis is carried out using a vortex lattice method, while aircraft component weights are estimated empirically. A new self-adaptive meta-heuristic based on decomposition is specifically developed for this design problem. The new algorithm along with nine established and recently developed multi-objective and many-objective meta-heuristics are employed to solve the problem, while comparative performance is made based upon a hypervolume indicator. The results reveal that the proposed optimiser is the best performer for this design task. (C) 2020 Elsevier Masson SAS. All rights reserved.
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