RBF neural network PID for bilateral servo control system

被引：0
|
作者：
Jingdong, Zhang [1 ,3 ]
Guang, Wen [2 ]
Yongqiao, Wei [3 ]
Guofu, Yin [3 ]
机构：
[1] School of Transportation and Automobile Engineering, Panzhihua University, 10# Airport Road, 617000 Panzhihua City, China
[2] School of school of mechanical engineering, Panzhihua University, 10# Airport Road, 617000 Panzhihua City, China
[3] School of Manufacturing Science and Engineering, Sichuan University, No.24 South Section 1, Yihuan Road, 610065 Chengdu, China
来源：
Telkomnika - Indonesian Journal of Electrical Engineering | 2013年 / 11卷 / 09期
关键词：
Algorithms;
D O I：
10.11591/telkomnika.v11i9.3269
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：5200 / 5209
相关论文
共 50 条
  • [1] Position Servo Control in Manipulator Based on RBF Neural Network PID Control
    Fang, Peng
    Ping, Li
    [J]. INTERNATIONAL CONFERENCE ON CONTROL SYSTEM AND AUTOMATION (CSA 2013), 2013, : 120 - 125
  • [2] Analysis of speed servo system of pneumatic Manipulator based RBF neural network PID control
    Luo, Jing
    Yuan, Ruibo
    Yuan, Yubi
    Ba, Shaonan
    Zhang, Zongcheng
    [J]. ADVANCES IN SCIENCE AND ENGINEERING, PTS 1 AND 2, 2011, 40-41 : 65 - 70
  • [3] Fuzzy RBF Neural PID Control to Simulation Turntable Servo System
    Wu, Yanmin
    Cui, Guangzhao
    Zhang, Xuncai
    [J]. BIO-INSPIRED COMPUTING - THEORIES AND APPLICATIONS, BIC-TA 2014, 2014, 472 : 478 - 482
  • [4] PID control incorporating RBF-neural network for servo mechanical systems
    Lee, TH
    Huang, SN
    Tang, KZ
    Tan, KK
    Al Mamun, A
    [J]. IECON'03: THE 29TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1 - 3, PROCEEDINGS, 2003, : 2789 - 2793
  • [5] The Application of Fuzzy PI and RBF Neural Network Tuning PID in Servo System
    Li, Guozhi
    Ren, Xiaohong
    Ren, Bing
    Qiu, Ling
    [J]. PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION, 2013, 254 : 711 - 719
  • [6] RBF NEURAL NETWORK PID SPACE VECTOR CONTROL OF LINEAR SERVO LOAD SIMULATOR
    Zhang, Daode
    Feng, Wei
    Wei, Lingkang
    Hu, Xinyu
    [J]. MECHATRONIC SYSTEMS AND CONTROL, 2020, 48 (04): : 207 - 215
  • [7] Study of supervisory control for servo system based on RBF neural network
    Wang Baoren
    Shi Daguang
    Zhang Chengrui
    [J]. Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3, 2006, : 1371 - 1374
  • [8] Application of PID Control Based on RBF Neural Network in Electro-Hydraulic Servo System for Steel Strip Deviation
    Kou, Xueqin
    Gu, Lichen
    [J]. AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 : 434 - 438
  • [9] Integral Separation PID Control of Certain Electro-hydraulic Servo System based on RBF Neural Network Supervision
    Wang, Ronglin
    Lu, Baochun
    Ni, Wenbin
    [J]. PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING (AMCCE 2017), 2017, 118 : 37 - 42
  • [10] Application of PID control based on RBF neural network in electro-hydraulic servo system for steel strip deviation
    Kou, Xueqin
    Gu, Lichen
    [J]. Advanced Materials Research, 2012, 468-471 : 434 - 438
12345