Estimation to the time parameters of PROFIBUS network system

被引：0
|
作者：
He, Fang [1 ]
Tong, Weiming [1 ]
机构：
[1] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin 150001, Peoples R China
来源：
ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
PROFIBUS fieldbus is used widely in many automated systems such as manufacturing industries and process factories. In this paper, some of parameters are analyzed, which have close relationship with the real time performance of system, such as DP cycle time and target token rotation time. Two kinds of formulas of time estimate are given. The variety trend of DP cycle time is analyzed following transmission speed, the amount of data exchange, the number of slave stations etc. As a result, some useful suggestions are presented to improve the real time performance of PROFIBUS network system.
引用
收藏
页码：873 / 876
页数：4
相关论文
共 50 条
  • [1] The Approaches for the Estimation of Control System Parameters in "Network Calculus"
    Promyslov, Vitaly
    Semenkov, Kirill
    IFAC PAPERSONLINE, 2021, 54 (01): : 954 - 958
  • [2] Finite-Time Parameters Estimation of the Chua System
    Chiaravalloti, Francesco
    D'Alfonso, Luigi
    D'Aquila, Gaetano
    Fedele, Giuseppe
    Parisini, Thomas
    Pin, Gilberto
    NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA-2016), 2016, 1776
  • [3] On Harmonic State Estimation of Power System With Uncertain Network Parameters
    Rakpenthai, Chawasak
    Uatrongjit, Sermsak
    Watson, Neville
    Premrudeepreechacharn, Suttichai
    2014 IEEE PES T&D CONFERENCE AND EXPOSITION, 2014,
  • [4] On Harmonic State Estimation of Power System With Uncertain Network Parameters
    Rakpenthai, Chawasak
    Uatrongjit, Sermsak
    Watson, Neville R.
    Premrudeepreechacharn, Suttichai
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (04) : 4829 - 4838
  • [5] On Robust State Estimation for Power System with Uncertain Network Parameters
    Uatrongjit, Sermsak
    2014 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON), 2014,
  • [6] Time-varying parameters estimation with adaptive neural network EKF for missile-dual control system
    Yuan, Yuqi
    Zhou, Di
    Li, Junlong
    Lou, Chaofei
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2024, 35 (02) : 451 - 462
  • [7] Time-Varying Parameters Estimation with Adaptive Neural Network EKF for Missile-Dual Control System
    Yuan, Yuqi
    Zhou, Di
    Li, Junlong
    Lou, Chaofei
    Journal of Systems Engineering and Electronics, 2024, 35 (02) : 451 - 462
  • [8] Time-varying parameters estimation with adaptive neural network EKF for missile-dual control system
    YUAN Yuqi
    ZHOU Di
    LI Junlong
    LOU Chaofei
    Journal of Systems Engineering and Electronics, 2024, 35 (02) : 451 - 462
  • [9] Modeling and Simulation of PROFIBUS-DP Network Control System
    He, Fang
    Guo, Kai
    2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2008, : 1141 - 1146
  • [10] Propagation delay time estimation by neural network using urban environment parameters
    Tategami, Koyo
    Fujimoto, Mitoshi
    Kitao, Koshiro
    Inomata, Minoru
    Suyama, Satoshi
    Oda, Yasuhiro
    IEICE COMMUNICATIONS EXPRESS, 2020, 9 (12): : 573 - 579
12345