无agent间通信的无人机协同运输

Pin-Xian Wu, Hsin-Ai Hung, Cheng-Cheng Yang, Teng-Hu Cheng
{"title":"无agent间通信的无人机协同运输","authors":"Pin-Xian Wu, Hsin-Ai Hung, Cheng-Cheng Yang, Teng-Hu Cheng","doi":"10.23919/ACC45564.2020.9147355","DOIUrl":null,"url":null,"abstract":"A control strategy for a leader-follower system without inter-agent communication is developed for cooperative transportation in this work. Two cascaded UKFs (unscented Kalman filters) are developed to estimate the external force of the leader as to eliminate the need of force sensors. Compared to most existing results, performance of the developed force estimators is invariant to lighting conditions since the developed UKFs do not require measurement from vision systems. To enhance robustness of the control scheme, a switching controller along with a triggering condition is developed for the follower, so that the impact to the performance of the closed-loop system caused by the disturbances can be minimized. Experiments are conducted to evaluate the control performance. Additionally, interesting phenomena are observed from the experiments and discussed, which can facilitate the improvement of the next generation cable-based transportation systems.","PeriodicalId":288450,"journal":{"name":"2020 American Control Conference (ACC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Cooperative Transportation of Drones without Inter-Agent Communication\",\"authors\":\"Pin-Xian Wu, Hsin-Ai Hung, Cheng-Cheng Yang, Teng-Hu Cheng\",\"doi\":\"10.23919/ACC45564.2020.9147355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A control strategy for a leader-follower system without inter-agent communication is developed for cooperative transportation in this work. Two cascaded UKFs (unscented Kalman filters) are developed to estimate the external force of the leader as to eliminate the need of force sensors. Compared to most existing results, performance of the developed force estimators is invariant to lighting conditions since the developed UKFs do not require measurement from vision systems. To enhance robustness of the control scheme, a switching controller along with a triggering condition is developed for the follower, so that the impact to the performance of the closed-loop system caused by the disturbances can be minimized. Experiments are conducted to evaluate the control performance. Additionally, interesting phenomena are observed from the experiments and discussed, which can facilitate the improvement of the next generation cable-based transportation systems.\",\"PeriodicalId\":288450,\"journal\":{\"name\":\"2020 American Control Conference (ACC)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 American Control Conference (ACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC45564.2020.9147355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC45564.2020.9147355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文提出了一种无agent间通信的leader-follower系统的协同运输控制策略。开发了两个级联ukf(无气味卡尔曼滤波器)来估计领导者的外力,以消除对力传感器的需要。与大多数现有结果相比,由于开发的ukf不需要视觉系统的测量,因此开发的力估计器的性能对照明条件是不变的。为了提高控制方案的鲁棒性,设计了带触发条件的切换控制器,使扰动对闭环系统性能的影响降到最低。通过实验对控制性能进行了评价。此外,从实验中观察到一些有趣的现象,并对其进行了讨论,这对下一代电缆运输系统的改进有一定的帮助。
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
Cooperative Transportation of Drones without Inter-Agent Communication
A control strategy for a leader-follower system without inter-agent communication is developed for cooperative transportation in this work. Two cascaded UKFs (unscented Kalman filters) are developed to estimate the external force of the leader as to eliminate the need of force sensors. Compared to most existing results, performance of the developed force estimators is invariant to lighting conditions since the developed UKFs do not require measurement from vision systems. To enhance robustness of the control scheme, a switching controller along with a triggering condition is developed for the follower, so that the impact to the performance of the closed-loop system caused by the disturbances can be minimized. Experiments are conducted to evaluate the control performance. Additionally, interesting phenomena are observed from the experiments and discussed, which can facilitate the improvement of the next generation cable-based transportation systems.
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
Metric Interval Temporal Logic based Reinforcement Learning with Runtime Monitoring and Self-Correction Boundary Control of Coupled Hyperbolic PDEs for Two-dimensional Vibration Suppression of a Deep-sea Construction Vessel Localizing Data Manipulators in Distributed Mode Shape Identification of Power Systems Boundary prescribed–time stabilization of a pair of coupled reaction–diffusion equations An Optimization-Based Iterative Learning Control Design Method for UAV’s Trajectory Tracking
×
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