Adaptive Energy Reference Time Domain Passivity Control of Haptic Interfaces

IF 2.4 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS IEEE Transactions on Haptics Pub Date : 2023-12-11 DOI:10.1109/TOH.2023.3341336
Nafise Faridi Rad;Ryozo Nagamune
{"title":"Adaptive Energy Reference Time Domain Passivity Control of Haptic Interfaces","authors":"Nafise Faridi Rad;Ryozo Nagamune","doi":"10.1109/TOH.2023.3341336","DOIUrl":null,"url":null,"abstract":"Haptic devices are designed to assist humans in operating tasks in a remote or virtual environment. The passivity-based controllers feed back the forces from the environment while maintaining stability. This article presents the adaptive energy reference time domain passivity approach to overcome the sudden force change inherent in the conventional time domain passivity approach (TDPA). The main advantage of the proposed method is that it can be applied to the haptic interfaces interacting with delayed unknown environments without increasing conservatism compared to the conventional TDPA with or without energy reference. The adaptive energy reference is learned at each interaction by a passive estimation of the haptic interface energy. The energy reference is found using force and velocity data, which does not need the foreknowledge of the environment dynamic model parameters and time delay. Therefore, the designed controller can adapt to different environments and time delays. The proposed method is evaluated in both simulation and experimental setups where the parameters of the environments are unknown to the controller. It is shown that the sudden change in force is decreased compared to the conventional TDPA for haptic interface with or without time delay in the system.","PeriodicalId":13215,"journal":{"name":"IEEE Transactions on Haptics","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Haptics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10352646/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0

Abstract

Haptic devices are designed to assist humans in operating tasks in a remote or virtual environment. The passivity-based controllers feed back the forces from the environment while maintaining stability. This article presents the adaptive energy reference time domain passivity approach to overcome the sudden force change inherent in the conventional time domain passivity approach (TDPA). The main advantage of the proposed method is that it can be applied to the haptic interfaces interacting with delayed unknown environments without increasing conservatism compared to the conventional TDPA with or without energy reference. The adaptive energy reference is learned at each interaction by a passive estimation of the haptic interface energy. The energy reference is found using force and velocity data, which does not need the foreknowledge of the environment dynamic model parameters and time delay. Therefore, the designed controller can adapt to different environments and time delays. The proposed method is evaluated in both simulation and experimental setups where the parameters of the environments are unknown to the controller. It is shown that the sudden change in force is decreased compared to the conventional TDPA for haptic interface with or without time delay in the system.
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
触觉界面的自适应能量参考时域通过性控制
触觉设备旨在协助人类在远程或虚拟环境中执行任务。基于被动性的控制器在保持稳定性的同时反馈来自环境的力。本文提出了自适应能量参考时域被动方法,以克服传统时域被动方法(TDPA)固有的力突变问题。所提方法的主要优势在于,与有或无能量参考的传统 TDPA 相比,它可以应用于与延迟未知环境交互的触觉界面,而不会增加保守性。自适应能量参考是在每次交互时通过对触觉界面能量的被动估计来学习的。能量参考是通过力和速度数据找到的,不需要预先知道环境动态模型参数和时间延迟。因此,所设计的控制器可以适应不同的环境和时间延迟。在控制器未知环境参数的情况下,对所提出的方法进行了模拟和实验评估。结果表明,与传统的触觉界面 TDPA 相比,无论系统中是否有时间延迟,力的突然变化都会减小。
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 Haptics
IEEE Transactions on Haptics COMPUTER SCIENCE, CYBERNETICS-
CiteScore
5.90
自引率
13.80%
发文量
109
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.
期刊最新文献
Investigating the Kappa Effect Elicited Through Concurrent Visual and Tactile Stimulation. Two rapid alternatives compared to the staircase method for the estimation of the vibrotactile perception threshold. Multichannel Vibrotactile Glove: Validation of a new device designed to sense vibrations. Passive Realizations of Series Elastic Actuation: Effects of Plant and Controller Dynamics on Haptic Rendering Performance. VT-SGN:Spiking Graph Neural Network for Neuromorphic Visual-Tactile Fusion.
×
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