SUN Xiao-xi, HUANG You-rui, QU Li-guo. Research of time-delay control of wireless network based on RBF neural network PID control[J]. Journal of Mine Automation, 2013, 39(12): 76-81. DOI: 10.7526/j.issn.1671-251X.2013.12.019
Citation: SUN Xiao-xi, HUANG You-rui, QU Li-guo. Research of time-delay control of wireless network based on RBF neural network PID control[J]. Journal of Mine Automation, 2013, 39(12): 76-81. DOI: 10.7526/j.issn.1671-251X.2013.12.019

Research of time-delay control of wireless network based on RBF neural network PID control

More Information
  • In view of problems that uncertain time-delay influences on control performance of wireless network control system and normal PID control strategy cannot meet control requirement of network, the paper proposed a time-delay control scheme of wireless network based on RBF neural network PID control. It used TrueTime toolbox of Matlab/Simulink to build simulation model of time-delay control system of wireless network, introduced design of network module, actuator module and controller module and implementation principle of using RBF neural network to set parameters of PID controller. Simulation result shows that RBF neural network PID control strategy can reduce influence of uncertain time-delay on wireless network control system in some degree and improve stability of wireless network control system compared with normal PID control strategy.
  • Related Articles

    [1]GUO Xijin, SHAO Hongqing, YANG Chunbao, ZHANG Zhiqiang. Research on PFC-PID control algorithm of density and liquid level in heavy medium suspensio[J]. Journal of Mine Automation, 2018, 44(1): 89-95. DOI: 10.13272/j.issn.1671-251x.2017030088
    [2]NIE Wen-yan, WANG Zhong-gen. Design of direct torque control system of motor based on RBF neural network supervisio[J]. Journal of Mine Automation, 2013, 39(10): 52-55. DOI: 10.7526/j.issn.1671-251X.2013.10.014
    [3]GUO Xing-ge, WU Jiao-jiao, LIU Jing, SUN Li. Self-tuning fault-tolerant PID control for mine hoist based on BP neural network[J]. Journal of Mine Automation, 2013, 39(6): 45-48.
    [4]YU Qiong-xia, WANG Fu-zhong. Design of Speed-regulation System of PMLSM Based on BP Neural Network PID Control[J]. Journal of Mine Automation, 2011, 37(5): 34-37.
    [5]WANG Jun-xiao, LIN Qing-song, YAO Yu-fei, LIU Yan-bing. Application Research of PID Controller Based on BP Neural Network in Servo System[J]. Journal of Mine Automation, 2010, 36(5): 68-70.
    [6]KOU Gui-yue, TANG He-sheng. Research of PID Control Based on Neural Network of Lift System of Excavator[J]. Journal of Mine Automation, 2010, 36(5): 47-50.
    [7]FU Hua, LI Da-zhi. PID Self-tuning Control System Based on Neural Network[J]. Journal of Mine Automation, 2009, 35(7): 72-75.
    [8]LIU Shi-xian, ZHU Hua, WANG Yong, ZHU Feng-pei. Design of Control System of Emulsion Liquid Level Based on Fuzzy-PID Control[J]. Journal of Mine Automation, 2009, 35(4): 17-19.
    [9]GUO Xiu-cai, SHU Huai-li. Temperature Control System Based on PID Neural Network[J]. Journal of Mine Automation, 2008, 34(3): 30-32.
    [10]LI Zu-xin , ZHANG Yu-feng , SHI Xin-ling . A New P-FUZZY-PID Controller with Switching Based on Fuzzy Rules[J]. Journal of Mine Automation, 2003, 29(1): 4-6.

Catalog

    Article Metrics

    Article views (33) PDF downloads (15) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return