• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

轮式移动机器人的通用路径跟踪:一种封闭形式的有界速度解决方案。

Universal Path-Following of Wheeled Mobile Robots: A Closed-Form Bounded Velocity Solution.

作者信息

Oftadeh Reza, Ghabcheloo Reza, Mattila Jouni

机构信息

Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77840, USA.

Department of Automation Technology and Mechanical Engineering, Tampere University, 33720 Tampere, Finland.

出版信息

Sensors (Basel). 2021 Nov 17;21(22):7642. doi: 10.3390/s21227642.

DOI:10.3390/s21227642
PMID:34833715
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8624698/
Abstract

This paper presents a nonlinear, universal, path-following controller for Wheeled Mobile Robots (WMRs). This approach, unlike previous algorithms, solves the path-following problem for all common categories of holonomic and nonholonomic WMRs, such as omnidirectional, unicycle, car-like, and all steerable wheels. This generality is the consequence of a two-stage solution that tackles separately the platform path-following and wheels' kinematic constraints. In the first stage, for a mobile platform divested of the wheels' constraints, we develop a general paradigm of a path-following controller that plans asymptotic paths from the WMR to the desired path and, accordingly, we derive a realization of the presented paradigm. The second stage accounts for the kinematic constraints imposed by the wheels. In this stage, we demonstrate that the designed controller simplifies the otherwise impenetrable wheels' kinematic and nonholonomic constraints into explicit proportional functions between the velocity of the platform and that of the wheels. This result enables us to derive a closed-form trajectory generation scheme for the asymptotic path that constantly keeps the wheels' steering and driving velocities within their corresponding, pre-specified bounds. Extensive experimental results on several types of WMRs, along with simulation results for the other types, are provided to demonstrate the performance and the efficacy of the method.

摘要

本文提出了一种用于轮式移动机器人(WMR)的非线性通用路径跟踪控制器。与先前的算法不同,这种方法解决了所有常见类型的完整和非完整WMR的路径跟踪问题,例如全方位、单轮、类似汽车以及所有可转向轮的机器人。这种通用性是两阶段解决方案的结果,该方案分别处理平台路径跟踪和车轮运动学约束。在第一阶段,对于去除了车轮约束的移动平台,我们开发了一种路径跟踪控制器的通用范式,该范式规划从WMR到期望路径的渐近路径,并据此推导出所提出范式的一种实现。第二阶段考虑车轮施加的运动学约束。在这个阶段,我们证明所设计的控制器将原本难以处理的车轮运动学和非完整约束简化为平台速度和车轮速度之间的显式比例函数。这一结果使我们能够为渐近路径推导一种封闭形式的轨迹生成方案,该方案能持续将车轮的转向和驱动速度保持在其相应的预先指定范围内。提供了在几种类型的WMR上的大量实验结果,以及其他类型的仿真结果,以证明该方法的性能和有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/ec34405805ad/sensors-21-07642-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/ef88ea7a2782/sensors-21-07642-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/cb6f6798524b/sensors-21-07642-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/3303a0d9999f/sensors-21-07642-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/b10087681568/sensors-21-07642-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/9c73389d0112/sensors-21-07642-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/d889ee7fc911/sensors-21-07642-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/1d25e1513709/sensors-21-07642-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/747390393894/sensors-21-07642-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/f452f6e1c563/sensors-21-07642-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/fac5bb1fda5d/sensors-21-07642-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/6e2e09097de7/sensors-21-07642-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/a225ed954b9a/sensors-21-07642-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/07f86c77a909/sensors-21-07642-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/8d08789ce373/sensors-21-07642-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/265db3d94ffb/sensors-21-07642-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/23653d700498/sensors-21-07642-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/e077659c79ae/sensors-21-07642-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/ec34405805ad/sensors-21-07642-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/ef88ea7a2782/sensors-21-07642-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/cb6f6798524b/sensors-21-07642-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/3303a0d9999f/sensors-21-07642-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/b10087681568/sensors-21-07642-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/9c73389d0112/sensors-21-07642-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/d889ee7fc911/sensors-21-07642-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/1d25e1513709/sensors-21-07642-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/747390393894/sensors-21-07642-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/f452f6e1c563/sensors-21-07642-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/fac5bb1fda5d/sensors-21-07642-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/6e2e09097de7/sensors-21-07642-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/a225ed954b9a/sensors-21-07642-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/07f86c77a909/sensors-21-07642-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/8d08789ce373/sensors-21-07642-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/265db3d94ffb/sensors-21-07642-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/23653d700498/sensors-21-07642-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/e077659c79ae/sensors-21-07642-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d89/8624698/ec34405805ad/sensors-21-07642-g018.jpg

相似文献

1
Universal Path-Following of Wheeled Mobile Robots: A Closed-Form Bounded Velocity Solution.轮式移动机器人的通用路径跟踪:一种封闭形式的有界速度解决方案。
Sensors (Basel). 2021 Nov 17;21(22):7642. doi: 10.3390/s21227642.
2
Trajectory tracking nonlinear H controller for wheeled mobile robots with disturbances observer.带有干扰观测器的轮式移动机器人轨迹跟踪非线性H控制器
ISA Trans. 2023 Nov;142:372-385. doi: 10.1016/j.isatra.2023.07.037. Epub 2023 Aug 1.
3
Dynamics modeling and path following controller of tractor-trailer-wheeled robots considering wheels slip.考虑车轮打滑的牵引车-挂车式轮式机器人动力学建模与路径跟踪控制器
ISA Trans. 2024 May;148:45-63. doi: 10.1016/j.isatra.2024.03.004. Epub 2024 Mar 6.
4
Observer-based finite-time control for trajectory tracking of wheeled mobile robots with kinematic disturbances.基于观测器的轮式移动机器人轨迹跟踪有限时间控制(考虑运动学干扰)
ISA Trans. 2024 May;148:64-77. doi: 10.1016/j.isatra.2024.03.031. Epub 2024 Mar 27.
5
Path-following control of wheeled planetary exploration robots moving on deformable rough terrain.在可变形粗糙地形上移动的轮式行星探测机器人的路径跟踪控制
ScientificWorldJournal. 2014 Mar 26;2014:793526. doi: 10.1155/2014/793526. eCollection 2014.
6
Simultaneous Obstacle Avoidance and Target Tracking of Multiple Wheeled Mobile Robots With Certified Safety.具有安全认证的多轮移动机器人同时避障与目标跟踪
IEEE Trans Cybern. 2022 Nov;52(11):11859-11873. doi: 10.1109/TCYB.2021.3070385. Epub 2022 Oct 17.
7
Robust adaptive tracking control for nonholonomic mobile manipulator with uncertainties.具有不确定性的非完整移动机械手的鲁棒自适应跟踪控制
ISA Trans. 2014 Jul;53(4):1035-43. doi: 10.1016/j.isatra.2014.05.012. Epub 2014 Jun 7.
8
Wheeled Mobile Robots: State of the Art Overview and Kinematic Comparison Among Three Omnidirectional Locomotion Strategies.轮式移动机器人:技术现状概述及三种全向移动策略的运动学比较
J Intell Robot Syst. 2022;106(3):57. doi: 10.1007/s10846-022-01745-7. Epub 2022 Oct 24.
9
Coordinated Planar Path-Following Control for Multiple Nonholonomic Wheeled Mobile Robots.多非完整轮式移动机器人的协同平面路径跟踪控制
IEEE Trans Cybern. 2022 Sep;52(9):9404-9413. doi: 10.1109/TCYB.2021.3057335. Epub 2022 Aug 18.
10
Practical fixed-time trajectory tracking control of constrained wheeled mobile robots with kinematic disturbances.具有运动学干扰的受限轮式移动机器人的实用固定时间轨迹跟踪控制
ISA Trans. 2022 Oct;129(Pt A):273-286. doi: 10.1016/j.isatra.2021.12.039. Epub 2022 Jan 5.

引用本文的文献

1
Motion Optimization and Control of Single and Multiple Autonomous Aerial, Land, and Marine Robots.单/多自主空中、陆地和海洋机器人的运动优化与控制。
Sensors (Basel). 2022 Dec 22;23(1):87. doi: 10.3390/s23010087.
2
A Local Planner for Accurate Positioning for a Multiple Steer-and-Drive Unit Vehicle Using Non-Linear Optimization.基于非线性优化的多转向-驱动单元车辆精确定位的局部规划器
Sensors (Basel). 2022 Mar 28;22(7):2588. doi: 10.3390/s22072588.