An Improved Lag-Time Compensation Technique in Distributed Networked Control System Based on Smith Predictor

被引:2
|
作者
Kumar, Ratish [1 ]
Kumar, Rajiv [1 ]
Nigam, Madhav Ji [1 ]
机构
[1] Jaypee Univ Informat Technol, Solan 173234, HP, India
关键词
networked control system; smith predictor; delay compensation; kalman filter; markov approach; model estimation; LINEAR-SYSTEMS; DEAD-TIME; STABILIZATION; UNCERTAINTY; DESIGN; STATE;
D O I
10.31449/inf.v45i5.3551
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The geographically distributed feedback control loops connected via communication network elucidate the core of networked control system (NCS), wherein different users spread all over the world can regulate, direct and command the components of control system located at distant location. The proficiency of NCS provides sceptre to its user and multifaceted assignments are successfully endowed through it. The ascendancy of NCS is lowered through inconspicuous delays which destabilize the system. The induction of delays in the network lead to the proscription of packet delivery, bandwidth utilization and stable system response. In this manuscript Smith predictor is modified using Markov approach and Kalman estimation algorithm. The scheme has been implemented by using Matlab/ Simulink software for delay compensation. Performance analysis shows the robustness of modified Smith-Predictor controller in comparison to classical Smith predictor controller and proportional-integral-derivative based controllers.
引用
收藏
页码:605 / 611
页数:7
相关论文
共 50 条
  • [31] Networked control system time-delay compensation based on PI-based dynamic matrix control
    Tian, Zhongda
    AT-AUTOMATISIERUNGSTECHNIK, 2021, 69 (01) : 41 - 51
  • [32] Simulation of Main Steam Temperature Control System Based on Fuzzy PID and Improved Smith Predictor
    Liu, Changliang
    Zhang, Yongbo
    THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 732-733 : 280 - 285
  • [33] A control method for time-delay system using improved genetic algorithm and adaptive smith predictor
    Li Hongxing
    Luo Bingzhang
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2276 - 2279
  • [34] Time delay compensation for networked control systems based on SMC
    Wang, Q
    Yi, JQ
    Zhao, DB
    Wu, BZ
    ITSC 2004: 7TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2004, : 831 - 835
  • [35] Single Neuron PID Controller Based on Adaptive Smith Predictor for Networked Control Systems
    Zhang, Xian
    Yang, Liman
    Li, Yunhua
    2012 10TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2012, : 1136 - 1141
  • [36] Simulation of Networked Control Systems Based on Single Neuron Adaptive PID with Smith Predictor
    Zhang, Haitao
    Hu, Jinbo
    Wu, Guifang
    Bu, Wenshao
    ENGINEERING LETTERS, 2023, 31 (01) : 19 - 19
  • [37] Centralized Secondary Control Scheme for Delay Compensation Based on Smith Predictor Approach
    Rodriguez-Martinez, Omar F.
    Diaz, Jan L.
    Rivera, Oscar Daniel Garzon
    Gomez, Macias Patin
    Munoz, Carlos Julian Delgado
    Penagos, Cesar A. Vega
    Luna, Adriana C.
    Andrade, Fabio
    2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [38] Robust speed control of PMSM drive system with lag time compensation
    Ibrahim, YAR
    Abu-Elnaga, MM
    El-Sayad, MA
    ICEEC'04: 2004 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTER ENGINEERING, PROCEEDINGS, 2004, : 823 - 829
  • [39] Predictor-based compensator of networked control systems with random distributed delays
    Zhang, Ya
    Tian, Yuping
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2009, 39 (02): : 309 - 314
  • [40] Multiple closed-loop control based on improved Smith predictor
    Duan, Qianwen
    Ren, Wei
    Liu, Wansheng
    Mao, Yao
    Luo, Yong
    Wu, Shuiqin
    9TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: ADVANCED OPTICAL MANUFACTURING TECHNOLOGIES, 2019, 10838