Development of Rover with ARLISS Requirements and the Examination of the Rate of Acceleration that Causes Damages During a Rocket Launch

Author:

Saito Takuya,Akiyama Miho, ,

Abstract

In recent years, CanSats have become a popular choice in simulated satellite contests. Among CanSat contests, the ARLISS project is the one that uses rockets to launch the CanSat into the sky. ARLISS provides rockets to launch CanSats, which reach an altitude of ∼4,000 m and then drop the rover to the ground using a parachute. However, the rovers of several teams cannot withstand the large acceleration applied during the launch, which damage and make them non-operational. The acceleration applied to the rocket during the launch was measured by multiple teams previously; however, because the CanSat is a small-embedded device, an acceleration sensor with a wide measurement range and a high sampling frequency could not be used. In this study, we measure the acceleration applied to the rover from the launch till it drops on the ground using an acceleration sensor with a wider measurement range, and by acquiring data at a higher sampling frequency than before. The acceleration is found to be larger than that in the conventional measurement when the rocket is launched and it drops to the ground. Further, the descriptions of the technical details of the rover structure that can withstand these impacts, perform accurate measurements, and operate without breakage in ARLISS are provided.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Method to Achieve High Speed and High Recognition Rate of Goal from Long Distance for CanSat;Journal of Robotics and Mechatronics;2023-02-20

2. Proposal of a Method for Inferring the Road Surface from Vibration Using Deep Learning on CanSat;2022 International Conference on Computational Science and Computational Intelligence (CSCI);2022-12

3. A Novel Method for Goal Recognition from 10 m Distance Using Deep Learning in CanSat;Journal of Robotics and Mechatronics;2021-12-20

4. Design and Simulation of a Rover CanSat Non-pneumatic Wheel: Preliminary Study for a Certain Test Obstacle Path;2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE);2021-07-16

5. Goal Recognition Using Deep Learning in a Planetary Exploration Rover Developed for a Contest;2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2020-09-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3