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Onboard Trajectory Generation of Hypersonic Morphing Aircraft
Author(s) -
Chenxin Zhang,
Yankun Zhang,
Changzhu Wei
Publication year - 2021
Publication title -
international journal of aerospace engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.361
H-Index - 22
eISSN - 1687-5974
pISSN - 1687-5966
DOI - 10.1155/2021/6683684
Subject(s) - trajectory , trajectory optimization , morphing , wingspan , hypersonic speed , gauss pseudospectral method , aerodynamics , aerospace engineering , path (computing) , computer science , control theory (sociology) , angle of attack , hypersonic flight , engineering , pseudo spectral method , mathematics , physics , control (management) , artificial intelligence , fourier analysis , mathematical analysis , fourier transform , astronomy , programming language
In this paper, a trajectory optimization strategy for the hypersonic morphing aircraft is proposed, and the AMPI method is used to generate the online trajectory with initial state errors. Firstly, the aerodynamic model and propulsion model of the hypersonic morphing aircraft were established considering the wingspan and the scramjet. Secondly, the optimization strategy was proposed via Gauss pseudospectral method considering the control variables including angle of attack (AOA) and wingspan. The optimized trajectory met the final constraints and path constraints with the objective to minimize the time of the ascent phase. Then, the AMPI method was used to generate online trajectory without solving OCP or NLP on the base of trajectory database calculated by the optimization strategy. The simulation results indicate high accuracy of AMPI method and the final errors corresponding to different initial errors were acceptable. The mean value of the CPU time of the method was about 0.1 second, which shows real-time capability.

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