Weight optimization of hydrogen storage vessels for quadcopter UAV using genetic algorithm

被引：16

作者：

Lee, Youngheon ^{[1
]}

Park, Eu-Tteum ^{[1
]}

Jeong, Jinseok ^{[1
]}

Shi, Hayoung ^{[1
]}

Kim, Jeong ^{[1
]}

Kang, Beom-Soo ^{[1
]}

Song, Woojin ^{[2
]}

机构：

[1] Pusan Natl Univ, Dept Aerosp Engn, Jangjeon 2 Dong, Busan 46241, South Korea

[2] Pusan Natl Univ, Dept Nanomechatron Engn, Jangjeon 2 Dong, Busan 46241, South Korea

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2020年 / 45卷 / 58期

基金：

新加坡国家研究基金会;

关键词：

Fuel cell; Hydrogen storage vessel; Genetic algorithm; Multicopter; Unmanned aerial vehicle; FUEL-CELLS; DESIGN; ENDURANCE;

D O I：

10.1016/j.ijhydene.2020.09.014

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

Multicopter is relatively easy to control and is used in various fields. Typical multicopter drones use batteries as a power source, but it has limitations in flight time. The aim of this study is to contribute to the increase of flight time through the use of hydrogen fuel cells and weight reduction of drones. In this study, the weight of hydrogen storage vessel is optimized using a genetic algorithm and a numerical analysis based on the Tsai-Wu failure theory. As a result, the vessel weight was reduced by more than 23.79% compared to the initial weight in the algorithm iteration. To confirm that the weight optimization and using hydrogen fuel cell improved flight time, the hovering times are calculated. Consequently, the hovering time when using the hydrogen fuel cell is increased by 37.85% than using the batteries. And the hovering time increased by 17.73% with optimized vessel weight. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：33939 / 33947

页数：9

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