• DocumentCode
    724540
  • Title

    A study of deadband scheduling based on sensor node and controller node in NCS

  • Author

    Xianming Fang ; Feng Du ; Yinqing Tang ; Bing Ma ; Chunrong Huang

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5258
  • Lastpage
    5263
  • Abstract
    A deadband scheduling method using different scheduling policies in sensor nodes and controller nodes was proposed for multi-loop networked control system, with the characteristics of fierce competition of network bandwidth resource and large network delay. In the sensor nodes, scheduling based on the difference between current sampling signal and the previous transmission signal. Constantly, to prevent the system out of control, the sensor nodes sent data packet to the network at regular intervals. In the controller nodes, combined with human-simulated intelligent method, it was determined whether the controller nodes sent data packet to the actuator nodes based on the deviation and the deviation change rate of the system. The simulation results indicated that on the basis of guaranteeing the system performance, the network data packet traffic and network delay were reduced effectively at the same time. In addition, this method is simple to implement, with great engineering application value.
  • Keywords
    control system synthesis; networked control systems; scheduling; NCS; controller node; deadband scheduling method; multiloop networked control system; network data packet traffic; network delay; sampling signal; scheduling policy; sensor node; transmission signal; Actuators; Bandwidth; Delays; Networked control systems; Scheduling; System performance; Dead band scheduling; Human-simulated intelligent; Networked control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162862
  • Filename
    7162862