首页> 外文期刊>Control Engineering Practice >Prediction and congestion control algorithm for networked motion tracking
【24h】

Prediction and congestion control algorithm for networked motion tracking

机译:网络运动跟踪的预测与拥塞控制算法

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper a novel prediction method and a communication protocol is proposed for distributed motion tracking systems, for example robot control system over the Internet based on on-line visual information. It is assumed that the trajectory generator part of the control system is connected to the low level controller through wide area network (WAN). In this case the variable network delay, packet losses, irregular packet arrival can severely influence the control characteristics (transient behavior and tracking performance) in a negative sense. The proposed prediction method is based on dynamic filters and it generates the trajectory on the control system side in the control periods when no new information on the time varying reference trajectory arrives through the network. The developed application level communication protocol is meant to keep the packet loss under a predefined limit even if the network bandwidth varies below the value required by the control application. Simulations and real-time experiments show that the prediction algorithm applied jointly with the proposed communication protocol can effectively compensate the effect of networked communication on control characteristics.
机译:本文提出了一种新颖的预测方法和通信协议,用于分布式运动跟踪系统,例如基于在线视觉信息的Internet上的机器人控制系统。假定控制系统的轨迹生成器部分通过广域网(WAN)连接到底层控制器。在这种情况下,可变的网络延迟,数据包丢失,不规则的数据包到达会在负面意义上严重影响控制特性(瞬态行为和跟踪性能)。所提出的预测方法是基于动态滤波器的,并且当没有关于时变参考轨迹的新信息通过网络到达时,它会在控制周期内在控制系统侧生成轨迹。开发的应用程序级别的通信协议旨在即使网络带宽变化到控制应用程序所需的值以下,也可以将数据包丢失保持在预定义的限制内。仿真和实时实验表明,与所提出的通信协议结合使用的预测算法可以有效地补偿网络通信对控制特性的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号