Longitudinal UAV Motion with Plugged Error Model of Angular Velocity Sensor

D. Megyesi, R. Bréda, J. Leško
{"title":"Longitudinal UAV Motion with Plugged Error Model of Angular Velocity Sensor","authors":"D. Megyesi, R. Bréda, J. Leško","doi":"10.1109/NTAD51447.2020.9379098","DOIUrl":null,"url":null,"abstract":"The Department of Avionics, Faculty of Aeronautics, Technical University of Košice uses a “Carbon Cab” equipped with a PixHawk PX-4 autopilot for its research in the field of UAV control. This autopilot allows a wide range of adjustments to the steering and the control loops themselves contained in the steering circuit. It is also possible to load the autopilot into its own control circuit and thus test its influence on the controlled quantities and the stability and controllability of the aircraft, which is the control object. The authors of the article discuss the simulation verification of the created model of a triaxial angular velocity sensor. The verification of the sensor model is performed by connecting it to the feedback loop of the mathematical model of the aircraft for longitudinal movement. The authors of the article discuss the changes that occur by connecting the sensor to the connection and their other possible solutions. Based on this connection, it is possible to analyze the interfering effect of raw data coming from the sensor and then create a filter that adjusts the data coming from the sensor to a suitable form, taking into account the increase in stability and controllability of the aircraft. The Allan variance method was used to analyze the sensor noise processes that had to be performed to create the sensor error model.","PeriodicalId":167600,"journal":{"name":"2020 New Trends in Aviation Development (NTAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 New Trends in Aviation Development (NTAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTAD51447.2020.9379098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Department of Avionics, Faculty of Aeronautics, Technical University of Košice uses a “Carbon Cab” equipped with a PixHawk PX-4 autopilot for its research in the field of UAV control. This autopilot allows a wide range of adjustments to the steering and the control loops themselves contained in the steering circuit. It is also possible to load the autopilot into its own control circuit and thus test its influence on the controlled quantities and the stability and controllability of the aircraft, which is the control object. The authors of the article discuss the simulation verification of the created model of a triaxial angular velocity sensor. The verification of the sensor model is performed by connecting it to the feedback loop of the mathematical model of the aircraft for longitudinal movement. The authors of the article discuss the changes that occur by connecting the sensor to the connection and their other possible solutions. Based on this connection, it is possible to analyze the interfering effect of raw data coming from the sensor and then create a filter that adjusts the data coming from the sensor to a suitable form, taking into account the increase in stability and controllability of the aircraft. The Allan variance method was used to analyze the sensor noise processes that had to be performed to create the sensor error model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
角速度传感器插入误差模型下的无人机纵向运动
Košice工业大学航空学院航空电子系在无人机控制领域的研究中,使用了配备PixHawk PX-4自动驾驶仪的“碳驾驶室”。这种自动驾驶仪允许广泛的调整转向和控制回路本身包含在转向电路。也可以将自动驾驶仪加载到自己的控制电路中,从而测试其对被控量的影响以及飞机的稳定性和可控性,这就是控制对象。对所建立的三轴角速度传感器模型进行了仿真验证。通过将传感器模型与飞机纵向运动数学模型的反馈回路相连接,对传感器模型进行验证。本文的作者讨论了通过将传感器连接到连接所发生的变化及其其他可能的解决方案。基于这种连接,可以分析来自传感器的原始数据的干扰效应,然后创建一个滤波器,将来自传感器的数据调整为合适的形式,同时考虑到飞机稳定性和可控性的增加。Allan方差法用于分析传感器噪声过程,该过程必须执行以创建传感器误差模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Covid -19 pandemic and its impact on air carrier pricing Simulation of obstacle avoidance of an UAV Assessing the Effects of the Construction of a Logistics Center on the Operation of DME System Design of Workplace for Multirotor UAV Parameters Measurement Penetration testing of Surveillance Data Distribution System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1