{"title":"An Adaptive Fuzzy Observer Based Delay Compensator for Time Delayed Bilateral Teleoperation Systems","authors":"Linping Chan, Qingqing Huang, Ping Wang, Yan Han","doi":"10.1109/ICMERR54363.2021.9680867","DOIUrl":null,"url":null,"abstract":"This paper presents a novel time delay-compensation method for delayed teleoperation systems based on the concept of network disturbance (ND) and an adaptive fuzzy observer. Firstly, a new adaptive fuzzy observer is developed to estimate the robot states, linearize the robot dynamics as well as eliminate model uncertainty and unknown disturbances. With the linearized robot model, a network disturbance observer is then proposed to estimate the ND by lumping all undesired effects caused by time delay into the ND. Furthermore, the proposed delay compensator is applied to a 4 channel time delayed bilateral control system to deal with the communication delay issue. The effectiveness of the proposed method is demonstrated through experiment study.","PeriodicalId":339998,"journal":{"name":"2021 6th International Conference on Mechanical Engineering and Robotics Research (ICMERR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Mechanical Engineering and Robotics Research (ICMERR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMERR54363.2021.9680867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a novel time delay-compensation method for delayed teleoperation systems based on the concept of network disturbance (ND) and an adaptive fuzzy observer. Firstly, a new adaptive fuzzy observer is developed to estimate the robot states, linearize the robot dynamics as well as eliminate model uncertainty and unknown disturbances. With the linearized robot model, a network disturbance observer is then proposed to estimate the ND by lumping all undesired effects caused by time delay into the ND. Furthermore, the proposed delay compensator is applied to a 4 channel time delayed bilateral control system to deal with the communication delay issue. The effectiveness of the proposed method is demonstrated through experiment study.