Optimization Design of Distributed Propeller Position Based on MOEA/D Algorithm

被引：0

作者：

Chen Xian ^{[1
]}

Wang Yuanyuan ^{[2
]}

Yu Longzhou ^{[1
]}

Huang Jiangtao ^{[1
]}

He Chengjun ^{[1
]}

Shu Bowen ^{[1
]}

机构：

[1] China Aerodynam Res & Dev Ctr, Aerosp Technol Inst, Mianyang 621000, Peoples R China

[2] China Aviat Ind Dev Res Ctr, Beijing 100012, Peoples R China

来源：

2023 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON AEROSPACE TECHNOLOGY, VOL II, APISAT 2023 | 2024年 / 1051卷

关键词：

Multi-Objective Optimization; Pareto Leading Edge; Distributed Propulsion; Propeller Position; Lift-Drag Ration;

D O I：

10.1007/978-981-97-4010-9_74

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Distributed propulsion technology can be used to improve the takeoff and landing performance of aircraft. However, while the propeller slipstream increases the wing lift, it also the drag, which may lead to a decrease in the lift-drag ratio, thereby affecting cruise performance of the aircraft. Therefore, it is necessary to optimize distributed propellers for improving the cruise performance. The installation position is one of the key parameters of distributed propellers and has a significant impact on the aerodynamic performance. Thus, the MOEA/D algorithm is used for the optimization design of the distributed propeller position. Results show that the optimized configuration has a larger lift-drag ratio, indicating that optimizing the installation position of distributed propellers can improve the cruise performance of aircraft. Moreover, the MOEA/D algorithm can be used for the selection of distributed propellers, providing an important reference for the design of distributed propulsion aircraft.

引用

页码：970 / 978

页数：9

共 50 条

[41] Dynamic Normalization in MOEA/D for Multiobjective Optimization
He, Linjun
Ishibuchi, Hisao
Trivedit, Anupam
Srinivasant, Dipti
2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2020,
[42] Optimization of Range and Endurance of a Propeller UAV Based on SQP Algorithm
Li Yi
Xiang Jinwu
PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON UNMANNED SYSTEMS (ICUS), 2017, : 210 - 213
[43] Multi-objective Optimization Model and Improved Genetic Algorithm based on MOEA/D for VNF-SC Deployment
Li, Na
Wang, Leijie
Lin, Lidan
Xuan, Hejun
IAENG International Journal of Computer Science, 2023, 50 (01):
[44] PROPELLER DESIGN BY OPTIMIZATION.
Rizk, Magdi H.
Jou, Wen Huei
AIAA journal, 1986, 24 (09): : 1554 - 1556
[45] Optimization Design of Distributed Drive Vehicle Reducer Based on Improved Particle Swarm Optimization Algorithm
Lin, Zhongyan
Zhang, Jiantao
Xu, Xiang
Chen, Jiawei
Chen, Xinbo
2020 3RD WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2020), 2020, : 757 - 762
[46] MOEA/D-S3: MOEA/D using SVM-based Surrogates adjusted to Subproblems for Many objective optimization
Sonoda, Takumi
Nakata, Masaya
2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2020,
[47] Design of Distributed Resource Management Optimization Algorithm Based on Party+ Concepts
Zhang, Hui
Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
[48] Distributed information system design based on integrity constraints optimization: The FKDO algorithm
Mehdi, S
Jorge, P
OBJECT-ORIENTED INFORMATION SYSTEMS, 2003, 2817 : 322 - 328
[49] An Analysis of Optimization Design of Distributed Computer Network Based on Artificial Intelligent Algorithm
Zhang, Yu
2016 3RD INTERNATIONAL CONFERENCE ON ECONOMIC, BUSINESS MANAGEMENT AND EDUCATIONAL INNOVATION (EBMEI 2016), PT 2, 2016, 55 : 753 - 757
[50] Design optimization of small distributed energy system based on NSGA-Ⅱ algorithm
Ding S.
Zhou B.
Hu B.
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (01): : 438 - 445

← 1 2 3 4 5 →