DCS devices based non-linear process control system design for plants with distributed time-delay using particle filter



Remote control process system with distributed time-delay has attracted much attention in different fields. In this paper, non-linear remote control of a single tank process system with wireless network is considered. To deal with the distributed time-delay in a large-scale plant, the time-delay compensation controller based on DCS devices is designed by using operator theory and particle filter. Distributed control system (DCS) device is developed to monitor and control from the central monitoring room to each process. The particle filter is a probabilistic method to estimate unobservable information from observable information. First, remote control system and experimental equipment are introduced. Second, control system based on an operator theory is designed. Then, process system with distributed time-delay using particle filter is carried out. Finally, the actual experiment is conducted by using the proposed time-delay compensation controller. When estimating with the proposed method, the result is close to the case in which the distributed time-delay does not exist. The effectiveness of the proposed control system is confirmed by experiment results.


具有分布式时滞的远程控制处理系统在不同领域备受关注. 本文考虑了具有无线网络的单水箱 处理系统的非线性远程控制. 为了解决大型工厂的分布式时滞问题, 采用算子理论和粒子滤波设计了 基于DCS 器件的延时补偿控制器. 分散控制系统(DCS)设备以从中央监控室到每个过程进行监控和控 制. 粒子滤波是一种概率方法, 用于从可观测的信息中估计不可观测的信息. 首先, 介绍了远程控制 系统和实验设备. 其次, 设计了基于算子理论的控制系统. 接着, 使用粒子滤波执行具有分布式时滞 的处理系统. 最后, 通过使用所提出的时滞补偿控制器进行实验. 通过所提出的方法进行估计, 结果 接近于不存在分布式时间延迟的情况. 实验结果证实了所提出的控制系统的有效性.

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The authors would like to thank Miss LI Xi-mei at Tokyo University of Agriculture and Technology, Japan, for her suggestions and comments.

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Correspondence to Ming-cong Deng 邓明聪.

Additional information

Foundation item: Project (K117K06225) supported by JSPS KAKENHI, Japan

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Deng, M., Fujii, R. DCS devices based non-linear process control system design for plants with distributed time-delay using particle filter. J. Cent. South Univ. 26, 3351–3358 (2019).

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Key words

  • non-linear remote control
  • distributed control system
  • particle filter
  • operator theory
  • distributed time-delay


  • 非线性远程控制
  • 分散控制系统
  • 粒子滤波
  • 算子理论
  • 分布型时滞