Unified Guidance and Jerk-Level Dynamic Inversion for Accurate Position Control of Hybrid UAVs

IF 10.5 1区 计算机科学 Q1 ROBOTICS IEEE Transactions on Robotics Pub Date : 2024-11-19 DOI:10.1109/TRO.2024.3502206
David Rohr;Olov Andersson;Nicholas Lawrance;Thomas Stastny;Roland Siegwart
{"title":"Unified Guidance and Jerk-Level Dynamic Inversion for Accurate Position Control of Hybrid UAVs","authors":"David Rohr;Olov Andersson;Nicholas Lawrance;Thomas Stastny;Roland Siegwart","doi":"10.1109/TRO.2024.3502206","DOIUrl":null,"url":null,"abstract":"By combining rotary- and fixed-wing flight, hybrid uncrewed aerial vehicles (H-UAVs) can uniquely address missions combining long-range aerial transport and precise ground-relative tasks, such as the placement or retrieval of payloads. However, to leverage their full maneuverability, first, the fundamentally different operating modes of rotary- and fixed-wing vehicles need to be unified and second, the system be controlled precisely despite complex aerodynamic effects. This work presents a general and lightweight, cascaded control formulation for such versatile and accurate operation of H-UAVs. First, a novel guidance law unifies ground- and air-relative position control modes typical for the individual flight regimes. Second, we formulate a jerk-level feedback-linearization to accurately track the guidance outputs despite model errors and disturbances. In extensive real flight tests with a tiltwing H-UAV, we demonstrate the versatile allocation of (hybrid) flight states and the overall accuracy enabled by the control system. Position errors remain below 0.5 m (one quarter of the wingspan) in the full flight envelope, including accelerated maneuvers up to 10 ms\n<sup>2</sup>\n and gusting wind reaching 12 m/s. Finally, the control system demonstrates exploiting hybrid flight for transport-related missions with a precise, in-flight pickup of a payload.","PeriodicalId":50388,"journal":{"name":"IEEE Transactions on Robotics","volume":"41 ","pages":"708-728"},"PeriodicalIF":10.5000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Robotics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10758192/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

Abstract

By combining rotary- and fixed-wing flight, hybrid uncrewed aerial vehicles (H-UAVs) can uniquely address missions combining long-range aerial transport and precise ground-relative tasks, such as the placement or retrieval of payloads. However, to leverage their full maneuverability, first, the fundamentally different operating modes of rotary- and fixed-wing vehicles need to be unified and second, the system be controlled precisely despite complex aerodynamic effects. This work presents a general and lightweight, cascaded control formulation for such versatile and accurate operation of H-UAVs. First, a novel guidance law unifies ground- and air-relative position control modes typical for the individual flight regimes. Second, we formulate a jerk-level feedback-linearization to accurately track the guidance outputs despite model errors and disturbances. In extensive real flight tests with a tiltwing H-UAV, we demonstrate the versatile allocation of (hybrid) flight states and the overall accuracy enabled by the control system. Position errors remain below 0.5 m (one quarter of the wingspan) in the full flight envelope, including accelerated maneuvers up to 10 ms 2 and gusting wind reaching 12 m/s. Finally, the control system demonstrates exploiting hybrid flight for transport-related missions with a precise, in-flight pickup of a payload.
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
用于混合无人机精确定位控制的统一制导和抖动级动态反演
通过结合旋转翼和固定翼飞行,混合无人驾驶飞行器(h - uav)可以独特地解决远程空中运输和精确地面相关任务的任务,例如放置或检索有效载荷。然而,为了充分发挥它们的机动性,首先,需要统一旋转翼和固定翼飞行器的根本不同的操作模式;其次,需要在复杂的空气动力学影响下精确控制系统。这项工作提出了一种通用的、轻量级的级联控制公式,用于h -无人机的这种通用和精确操作。首先,提出了一种新的制导律,统一了不同飞行状态下的地面和空中相对位置控制模式。其次,在模型误差和干扰的情况下,我们制定了一个抽动级反馈线性化来精确跟踪制导输出。在倾转翼H-UAV的大量实际飞行试验中,我们展示了控制系统实现的(混合)飞行状态的通用分配和总体精度。在整个飞行包线中,包括高达10米/秒的加速机动和达到12米/秒的阵风,位置误差保持在0.5米(翼展的四分之一)以下。最后,控制系统演示了利用混合飞行进行运输相关任务,并精确地在飞行中拾取有效载荷。
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
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
期刊最新文献
On Solving the Differential Direct Kinematics of Planar, Spherical, Orientational, and Translational Linkages Toward Deep Representation Learning for Event-Enhanced Visual Autonomous Perception: the eAP Dataset Inter-Agent Beliefs for Learning to Communicate in Large-Scale Multi-Robot Visual Object Search Model-Free Co-Optimization of Manufacturable Sensor Layouts and Deformation Proprioception A Magnetic Capsule for Navigation and Multi-targeted Sampling in the Gastrointestinal Tract
×
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:604180095
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