Multi-objective Optimization Design of Vented Cylindrical Airbag Cushioning System for Unmanned Aerial Vehicle

被引：8
|
作者：
Shao Zhijian [1 ]
He Cheng [1 ]
Pei Jinhua [1 ]
机构：
[1] Research Institute of Pilotless Aircraft,Nanjing University of Aeronautics and Astronautics
来源：
Transactions of Nanjing University of Aeronautics and Astronautics | 2016年 / 33卷 / 02期
关键词：
airbag; vent orifice; soft landing; multi-objective optimization; unmanned aerial vehicle(UAV);
D O I：
10.16356/j.1005-1120.2016.02.208
中图分类号：
V279 [无人驾驶飞机];
学科分类号：
1111 ;
摘要：
Multi-objective optimization design of the gas-filled bag cushion landing system is investigated.Firstly,the landing process of airbag is decomposed into a adiabatic compression and a release of landing shock energy,and the differential equation of cylindrical gas-filled bag is presented from a theoretical perspective based on the ideal gas state equation and dynamic equation.Then,the effects of exhaust areas and blasting pressure on buffer characteristics are studied,taking those parameters as design variable for the multiobjective optimization problem,and the solution can be determined by comparing Pareto set,which is gained by NSGA-Ⅱ.Finally,the feasibility of the design scheme is verified by experimental results of the ground test.
引用
收藏
页码：208 / 214
页数：7
相关论文
共 50 条
  • [1] Modular unmanned aerial vehicle platform design: Multi-objective evolutionary system method
    Zheng, Wenyi
    Mehbodniya, Abolfazl
    Neware, Rahul
    Wawale, Surindar Gopalrao
    Ganthia, Bibhu Prasad
    Shabaz, Mohammad
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 99
  • [2] A Multi-objective Optimization Model for Planning Unmanned Aerial Vehicle Cruise Route
    Liu, Xiaofeng
    Gao, Limei
    Guan, Zhiwei
    Song, Yuqing
    Zhang, Rui
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2016, 13
  • [3] A Multi-Objective Approach for Unmanned Aerial Vehicle Mapping
    Farid, Ali Moltajaei
    Mouhoub, Malek
    2023 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS, 2023, : 257 - 264
  • [4] MODMOA: A Novel Multi-objective Optimization Algorithm for Unmanned Aerial Vehicle Path Planning
    Wang, Qian
    Li, Xiaobo
    Su, Peng
    Zhao, Yuxin
    Fu, Qiyong
    BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS, PT 1, BIC-TA 2023, 2024, 2061 : 44 - 58
  • [5] Multi-objective optimization of dive trajectory for morphing unmanned aerial-underwater vehicle
    Chen, Guoming
    Yang, Haiyan
    Hu, Junhua
    Liu, An
    Feng, Jinfu
    OCEAN ENGINEERING, 2021, 228
  • [6] Non-Dominant Genetic Algorithm for Multi-Objective Optimization Design of Unmanned Aerial Vehicle Shell Process
    Chang, Hanjui
    Zhang, Guangyi
    Sun, Yue
    Lu, Shuzhou
    POLYMERS, 2022, 14 (14)
  • [7] Multidisciplinary and multi-objective design optimization of main body of unmanned underwater vehicle
    Li J.
    Liu F.
    Yao J.
    Du S.
    Liang X.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2019, 40 (04): : 858 - 864
  • [8] Multi-objective optimization of a wing fence on an unmanned aerial vehicle using surrogate-derived gradients
    Jolan Wauters
    Ivo Couckuyt
    Nicolas Knudde
    Tom Dhaene
    Joris Degroote
    Structural and Multidisciplinary Optimization, 2020, 61 : 353 - 364
  • [9] Multi-objective optimization of a wing fence on an unmanned aerial vehicle using surrogate-derived gradients
    Wauters, Jolan
    Couckuyt, Ivo
    Knudde, Nicolas
    Dhaene, Tom
    Degroote, Joris
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 61 (01) : 353 - 364
  • [10] Vehicle drivetrain design multi-objective optimization
    Eckert, Jony Javorski
    Santiciolli, Fabio Mazzariol
    Silva, Ludmila C. A.
    Dedini, Franco Giuseppe
    MECHANISM AND MACHINE THEORY, 2021, 156
12345