Experimental Implementation of an ANN Controller for Quadrotor Trajectory Control in Confined Environment

Ahmed Mekky, T. Alberts, O. González
{"title":"Experimental Implementation of an ANN Controller for Quadrotor Trajectory Control in Confined Environment","authors":"Ahmed Mekky, T. Alberts, O. González","doi":"10.1109/NAECON46414.2019.9058018","DOIUrl":null,"url":null,"abstract":"This paper presents the experimental results of the trajectory control of a Qball-X4 quadrotor in confined environments and with the presence of model uncertainties. The presented controller utilizes Artificial-Neural-Networks to adjust for aerodynamic and model uncertainties on-line. The provided experimental results show the robustness and effectiveness of the developed ANN controller when applied to the Qball X4 quadrotor.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON46414.2019.9058018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper presents the experimental results of the trajectory control of a Qball-X4 quadrotor in confined environments and with the presence of model uncertainties. The presented controller utilizes Artificial-Neural-Networks to adjust for aerodynamic and model uncertainties on-line. The provided experimental results show the robustness and effectiveness of the developed ANN controller when applied to the Qball X4 quadrotor.
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
约束环境下四旋翼飞行器轨迹控制的神经网络控制器实验实现
本文给出了Qball-X4四旋翼飞行器在受限环境和模型不确定性条件下的轨迹控制实验结果。该控制器利用人工神经网络对空气动力学和模型的不确定性进行在线调节。实验结果表明,所开发的人工神经网络控制器在Qball X4四旋翼飞行器上的鲁棒性和有效性。
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
Physical Cyber-Security of SCADA Systems Cluster-Based Hungarian Approach to Task Allocation for Unmanned Aerial Vehicles Privacy Preserving Medium Access Control Protocol for wireless Body Area Sensor Networks Gaussian Beam Propagation Through Turbulent Atmosphere using Second-Order Split-Step Algorithm A generalized equivalent circuit model for large-scale battery packs with cell-to-cell variation
×
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