• DocumentCode
    2997482
  • Title

    MLD Approach for Modeling and Predictive Control of Two-Tank Dynamic System over Networks

  • Author

    Yin, Xun-He ; Meng, Xiang-Long ; Wang, Zhen-Bang ; Song, Yong-duan ; Cui, Qing-Quan

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    5327
  • Lastpage
    5332
  • Abstract
    Networked control system (NCS) regards communication network as a part of real-time control system, where the control system components use the communication network to exchange data, in order to realize the closed-loop control of plant. In this paper, a math model of NCS is given firstly according to NCS with delay and packet dropout; then in the basis of the math model and a plant of two-tank system, NCS is modeled as a Mixed Logic Dynamic (MLD) framework, and predictive controller is designed. Finally, simulation research is carried out through TrueTime toolbox in the condition of simulated network, and the results show that compared the controllers are designed considering and without considering network factors in the NCS with delay and packet dropout, the former results a quicker response, a smaller overshoot value and system shock amplitude than the latter, therefore, the former has better control performance.
  • Keywords
    delays; modelling; predictive control; telecommunication networks; MLD approach; closed loop control; communication network; data exchange; math model; mixed logic dynamic framework; modeling; network control system; predictive control; real time control system; simulated network; system shock amplitude; truetime toolbox; two tank dynamic system; Communication networks; Control systems; Delay; Educational institutions; MATLAB; Predictive control; Predictive models; MLD; Networked control system; delay; packet dropout; predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1293
  • Filename
    5630742