Research and Application of Compound Control Based on RBF Neural Network and PID

被引：0
|
作者：
Liu, Li [1 ]
Kang, Ke [1 ]
Zhang, Sheng [1 ]
机构：
[1] YanShan Univ, Dept Elect Engn, Qinhuangdao 066004, Peoples R China
来源：
2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is difficult to get classic PID controller's precise paramerers, and PID control method is based on the. precise mathematical model, it's adaptiveability is poor. PID control method is not adaptive to nonlinear and time-variant plants. It is impossible to insure the accuracy of the system. A method of compound control based on RBF neural network and PID is stated in this paper. This method is applied in the simulation research of DC Motor speed regulation system. This method can be used to solve the problem of bad robustness and prerequisite condition that precise mathematical models must be known in advance for the traditional PID control method. Simulation results indicate that the system robustness and tracking performance are superior to those of the tradition PID control method.
引用
收藏
页码：848 / 850
页数：3
相关论文
共 50 条
  • [21] The Application Research of Compound Control Based on the Fuzzy Neural Network Inverse Method
    Wang, Qingli
    Jing, Yuanwei
    Wang, Lifu
    Kong, Zhi
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 3140 - +
  • [22] Single neural PID control for sensorless switched reluctance motor based on RBF neural network
    Shi, Tingna
    Xia, Changliang
    Wang, Mingchao
    Zhang, Qian
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 8069 - +
  • [23] RBF neural network PID for bilateral servo control system
    Jingdong, Zhang
    Guang, Wen
    Yongqiao, Wei
    Guofu, Yin
    Telkomnika - Indonesian Journal of Electrical Engineering, 2013, 11 (09): : 5200 - 5209
  • [24] Research on the Application of PID Control with Neural Network and Parameter Adjustment Method of PID Controller
    Liu, Jiayu
    Pan, Wei
    Qu, RuoPeng
    Xu, Meng
    PROCEEDINGS OF 2018 THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (CSAI 2018) / 2018 THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND MULTIMEDIA TECHNOLOGY (ICIMT 2018), 2018, : 72 - 76
  • [25] PID Control of Miniature Unmanned Helicopter Yaw System Based on RBF Neural Network
    Pan, Yue
    Song, Ping
    Li, Kejie
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II, 2011, 135 : 308 - 313
  • [26] NEURON PID CONTROL FOR A BPMSM BASED ON RBF NEURAL NETWORK ON-LINE IDENTIFICATION
    Sun, Xiaodong
    Zhu, Huangqiu
    ASIAN JOURNAL OF CONTROL, 2013, 15 (06) : 1772 - 1784
  • [27] Single neuron PID model reference adaptive control based on RBF neural network
    Zhang, Ming-Guang
    Li, Wen-Hui
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3021 - +
  • [28] PID neural network based predictive fuzzy control research
    Lv, Jin
    Guo, Chen
    Yuan Shi-chun
    PROCEEDINGS OF 2007 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES, VOLS 1 AND 2, 2007, : 947 - 951
  • [29] Application of PID Control Based on RBF Neural Network in Electro-Hydraulic Servo System for Steel Strip Deviation
    Kou, Xueqin
    Gu, Lichen
    AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 : 434 - 438
  • [30] Application of PID control based on RBF neural network in electro-hydraulic servo system for steel strip deviation
    Kou, Xueqin
    Gu, Lichen
    Advanced Materials Research, 2012, 468-471 : 434 - 438
12345