Trajectory optimization of morphing aircraft based on multi-fidelity model

Morphing aircraft can flexibly change its aerodynamic shape to adapt to the varying flight conditions during a flight. Compared with the traditional fixed shape aircraft, it has a very obvious advantage. This paper proposed a solution flow based on the multi-fidelity model for the morphing aircraft...

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Main Authors: WANG Jianlei, CHEN Xiaoyu, HONG Houquan, LI Chunna, GONG Chunlin, FU Junxin
Format: Article
Language:zho
Published: EDP Sciences 2022-06-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2022/03/jnwpu2022403p618/jnwpu2022403p618.html
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author WANG Jianlei
CHEN Xiaoyu
HONG Houquan
LI Chunna
GONG Chunlin
FU Junxin
author_facet WANG Jianlei
CHEN Xiaoyu
HONG Houquan
LI Chunna
GONG Chunlin
FU Junxin
author_sort WANG Jianlei
collection DOAJ
description Morphing aircraft can flexibly change its aerodynamic shape to adapt to the varying flight conditions during a flight. Compared with the traditional fixed shape aircraft, it has a very obvious advantage. This paper proposed a solution flow based on the multi-fidelity model for the morphing aircraft with morphing wings, and the optimal trajectory and morphing rules are studied. The angle of attack, Mach number, sweep angle and axial position of the morphing wing are defined as variables for generating training data for building the multi-fidelity Kriging model, which is used to predict the aerodynamic performance of the aircraft. Based on the hp-adaptive pseudospectral method, the model is used as aerodynamic input to establish the optimization process of morphing rules, and the trajectory optimization is carried out for the contrast fixed wing aircraft and morphing aircraft with the goal of minimum fuel consumption, respectively. The control parameters such as morphing parameters, angle of attack and engine control parameters are optimized simultaneously while meeting the flight mission requirements. The results show that the morphing aircraft has higher climbing and descending efficiency, and the optimal trajectory has obvious advantages. Moreover, the research flow proposed in this paper is universal, which can effectively reduce the CFD calculation cost and improve the efficiency of trajectory optimization of the variable shape vehicle.
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spelling doaj.art-7764455823f942c7957e5dff92f7eefc2023-11-02T06:37:00ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252022-06-0140361862710.1051/jnwpu/20224030618jnwpu2022403p618Trajectory optimization of morphing aircraft based on multi-fidelity modelWANG Jianlei0CHEN Xiaoyu1HONG Houquan2LI Chunna3GONG Chunlin4FU Junxin5School of Astronautics, Northwestern Polytechnical UniversitySchool of Astronautics, Northwestern Polytechnical UniversityJiangxi Hongdu Aviation Industry Group Co., LtdSchool of Astronautics, Northwestern Polytechnical UniversitySchool of Astronautics, Northwestern Polytechnical UniversityJiangxi Hongdu Aviation Industry Group Co., LtdMorphing aircraft can flexibly change its aerodynamic shape to adapt to the varying flight conditions during a flight. Compared with the traditional fixed shape aircraft, it has a very obvious advantage. This paper proposed a solution flow based on the multi-fidelity model for the morphing aircraft with morphing wings, and the optimal trajectory and morphing rules are studied. The angle of attack, Mach number, sweep angle and axial position of the morphing wing are defined as variables for generating training data for building the multi-fidelity Kriging model, which is used to predict the aerodynamic performance of the aircraft. Based on the hp-adaptive pseudospectral method, the model is used as aerodynamic input to establish the optimization process of morphing rules, and the trajectory optimization is carried out for the contrast fixed wing aircraft and morphing aircraft with the goal of minimum fuel consumption, respectively. The control parameters such as morphing parameters, angle of attack and engine control parameters are optimized simultaneously while meeting the flight mission requirements. The results show that the morphing aircraft has higher climbing and descending efficiency, and the optimal trajectory has obvious advantages. Moreover, the research flow proposed in this paper is universal, which can effectively reduce the CFD calculation cost and improve the efficiency of trajectory optimization of the variable shape vehicle.https://www.jnwpu.org/articles/jnwpu/full_html/2022/03/jnwpu2022403p618/jnwpu2022403p618.html变外形飞行器变精度模型弹道优化hp自适应伪谱法变形规律
spellingShingle WANG Jianlei
CHEN Xiaoyu
HONG Houquan
LI Chunna
GONG Chunlin
FU Junxin
Trajectory optimization of morphing aircraft based on multi-fidelity model
Xibei Gongye Daxue Xuebao
变外形飞行器
变精度模型
弹道优化
hp自适应伪谱法
变形规律
title Trajectory optimization of morphing aircraft based on multi-fidelity model
title_full Trajectory optimization of morphing aircraft based on multi-fidelity model
title_fullStr Trajectory optimization of morphing aircraft based on multi-fidelity model
title_full_unstemmed Trajectory optimization of morphing aircraft based on multi-fidelity model
title_short Trajectory optimization of morphing aircraft based on multi-fidelity model
title_sort trajectory optimization of morphing aircraft based on multi fidelity model
topic 变外形飞行器
变精度模型
弹道优化
hp自适应伪谱法
变形规律
url https://www.jnwpu.org/articles/jnwpu/full_html/2022/03/jnwpu2022403p618/jnwpu2022403p618.html
work_keys_str_mv AT wangjianlei trajectoryoptimizationofmorphingaircraftbasedonmultifidelitymodel
AT chenxiaoyu trajectoryoptimizationofmorphingaircraftbasedonmultifidelitymodel
AT honghouquan trajectoryoptimizationofmorphingaircraftbasedonmultifidelitymodel
AT lichunna trajectoryoptimizationofmorphingaircraftbasedonmultifidelitymodel
AT gongchunlin trajectoryoptimizationofmorphingaircraftbasedonmultifidelitymodel
AT fujunxin trajectoryoptimizationofmorphingaircraftbasedonmultifidelitymodel