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Application of Adaptive Controllers in Teleoperation Systems: A Survey

机译:自适应控制器在远程操作系统中的应用

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A survey of the adaptive controllers deployed to address major inherent control issues in robotic teleoperation systems is carried out. The study in particular explores the application of adaptive controllers in dealing with master and slave model uncertainties, operator and environment force model uncertainties, unknown external disturbances, and communication delay. The reviewed literature is structured according to the objectives envisaged for the adaptive controllers. Meanwhile, some adaptive methods deployed in human–robot interaction, where robots collaborate with people and actively support them, and local robot control, where robot manipulators are controlled at the same location as the operator, are also considered in the review as they can be used in teleoperation with some minor adjustment. A comparison of the strengths, deficiencies, and requirement of methods in each category is carried out. The study indicates that the majority of the proposed methods either require additional hardware such as sensors, or assume an accurate model of the system under study. The possible future research directions are outlined based on the gaps identified in the survey.
机译:对部署用于解决机器人远程操作系统中主要的固有控制问题的自适应控制器进行了调查。该研究特别探讨了自适应控制器在处理主从模型不确定性,操作员和环境力模型不确定性,未知外部干扰以及通信延迟方面的应用。根据针对自适应控制器设想的目标来构造回顾的文献。同时,在评论中也考虑了一些在人机交互中部署的自适应方法,其中机器人与人协作并积极支持他们,而本地机器人控制(其中机器人操纵器与操作员控制在同一位置)也被考虑在内。稍作调整即可用于遥控操作。比较每种类别中方法的优缺点,要求。研究表明,大多数提议的方法要么需要诸如传感器之类的附加硬件,要么假定所研究系统的准确模型。根据调查中发现的差距概述了可能的未来研究方向。

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