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Modeling and Forecasting of Time Delay about the Space Robot Teleoperation System

机译:太空机器人遥操作系统的时延建模与预测

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摘要

Time delay is the biggest barrier in improving the control property for teleoperation system, especially for space robot teleoperation system (SRTS) that faces the most complex and serious case being composed of three parts: 1) transport time delay between the ground control-center and base-station; 2) transmission time delay between the ground and space base-stations; 3) processing time delay among all information loops. To solve time delay problem for SRTS, modeling and forecasting methods concerning time delay are studied in this paper, which are the foundation of well controlling SRTS. As the round trip time delay often is the form in measuring and processing, it is more advisable to design a method which can simultaneously disposal those three parts time delay, but not process different parts time delay separately with different methods. Then, based on topological structure and statistics character analysis of those three parts time delay, a modified Spared-based Multivariate Linear Regression (SMLR) model is proposed to simultaneously solve them in this paper. Based on the aforementioned work, time delay can be forecasted precisely implying that time delay is definite and known in advance, which is beneficial to the improvement of control properties for SRTS. In final, simulations are given to illustrate the effectiveness of the proposed methods.
机译:时间延迟是改善远程操作系统控制性能的最大障碍,特别是对于面临最复杂和最严重情况的太空机器人远程操作系统(SRTS)而言,它由三个部分组成:1)地面控制中心与地面控制中心之间的运输时间延迟基站; 2)地面与空间基站之间的传输时间延迟; 3)所有信息循环之间的处理时间延迟。为了解决SRTS的时延问题,本文研究了有关时延的建模和预测方法,这是对SRTS进行良好控制的基础。由于往返时间延迟通常是测量和处理的形式,因此建议设计一种方法,该方法可以同时处理这三个部分的时间延迟,但不能用不同的方法分别处理不同的部分时间延迟。然后,基于这三个部分时延的拓扑结构和统计特性分析,提出了一种基于备用的改进的多元线性回归模型,以同时解决这些问题。根据上述工作,可以精确地预测时间延迟,这意味着时间延迟是预先确定的并且是已知的,这有利于提高SRTS的控制性能。最后,通过仿真说明了所提出方法的有效性。

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