基于部分传感器数据的四旋翼控制

L. Kis, B. Lantos
{"title":"基于部分传感器数据的四旋翼控制","authors":"L. Kis, B. Lantos","doi":"10.1109/RAAD.2010.5524611","DOIUrl":null,"url":null,"abstract":"A miniature quadrotor helicopter is an underactuated nonlinear system. Usually several types of sensors are used to control it. This article focuses on the emergency situation, when only few sensors are available. These sensors are mainly the inertial ones. Certainly, these sensors are not enough for normal maneuvering, but the controlled system should be able for horizontal stabilization and safe landing. Two types of control are presented. The first is a casual LQ state feedback. The disadvantage of this type of control in real environment is shown. The second control algorithm is an H∞ control method. The control design starts from a very simple linear model. The parameter measurement of the linear system is shown. The goal of this article is to handle the uncertainty in the behavior of the real system.","PeriodicalId":104308,"journal":{"name":"19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Quadrotor control based on partial sensor data\",\"authors\":\"L. Kis, B. Lantos\",\"doi\":\"10.1109/RAAD.2010.5524611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A miniature quadrotor helicopter is an underactuated nonlinear system. Usually several types of sensors are used to control it. This article focuses on the emergency situation, when only few sensors are available. These sensors are mainly the inertial ones. Certainly, these sensors are not enough for normal maneuvering, but the controlled system should be able for horizontal stabilization and safe landing. Two types of control are presented. The first is a casual LQ state feedback. The disadvantage of this type of control in real environment is shown. The second control algorithm is an H∞ control method. The control design starts from a very simple linear model. The parameter measurement of the linear system is shown. The goal of this article is to handle the uncertainty in the behavior of the real system.\",\"PeriodicalId\":104308,\"journal\":{\"name\":\"19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAAD.2010.5524611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAAD.2010.5524611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

微型四旋翼直升机是一个欠驱动非线性系统。通常使用几种类型的传感器来控制它。本文关注的是只有少数传感器可用的紧急情况。这些传感器主要是惯性传感器。当然,这些传感器是不够的正常机动,但控制系统应该能够水平稳定和安全着陆。提出了两种类型的控制。第一种是随机LQ状态反馈。指出了这种控制方式在实际环境中的缺点。第二种控制算法是H∞控制方法。控制设计从一个非常简单的线性模型开始。给出了线性系统的参数测量。本文的目标是处理真实系统行为中的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Quadrotor control based on partial sensor data
A miniature quadrotor helicopter is an underactuated nonlinear system. Usually several types of sensors are used to control it. This article focuses on the emergency situation, when only few sensors are available. These sensors are mainly the inertial ones. Certainly, these sensors are not enough for normal maneuvering, but the controlled system should be able for horizontal stabilization and safe landing. Two types of control are presented. The first is a casual LQ state feedback. The disadvantage of this type of control in real environment is shown. The second control algorithm is an H∞ control method. The control design starts from a very simple linear model. The parameter measurement of the linear system is shown. The goal of this article is to handle the uncertainty in the behavior of the real system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Programming and control of humanoid robot football playing tasks Adaptive sliding mode controller design for mobile robot fault tolerant control. introducing ARTEMIC. Isotropy in any RR planar dyad under active joint stiffness regulation Optimizing parameters of trajectory representation for movement generalization: robotic throwing A novel approach to the Model Reference Adaptive Control of MIMO systems
×
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