Control strategy of coiling tension based on RBF-NN inverse system

被引：0
作者：
Duan, Chaowei [1 ]
Zhang, Chao [1 ]
机构：
[1] Henan Mech & Elect Engn Coll, Xinxiang 453003, Henan, Peoples R China
来源：
FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY II, PTS 1 AND 2 | 2012年 / 503-504卷
关键词：
Radial basis function; Neural network; Inverse system; Control strategy;
D O I：
10.4028/www.scientific.net/AMR.503-504.1276
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on the study of coiler tension indirect control process, the purpose is to improve the control accuracy of the constant tension by the introduction of RBF neural networks and inverse system control theory. Depending on the physical characteristic of coiling tension control process, it could build the inverse system model for coiling tension control. By analyzing simulation results, this control strategy has great significance to the actual production.
引用
收藏
页码：1276 / 1279
页数：4
相关论文
共 50 条
  • [1] Application of coRNA-GA based RBF-NN to model proton exchange membrane fuel cells
    Zhang, Li
    Wang, Ning
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2018, 43 (01) : 329 - 340
  • [2] CONSTANT TENSION COILING CONTROL BASED ON DSP
    Ma, Xuejun
    Liu, Jun
    Wang, Zaiming
    Pi, Daneng
    3RD INTERNATIONAL SYMPOSIUM ON INFORMATION ENGINEERING AND ELECTRONIC COMMERCE (IEEC 2011), PROCEEDINGS, 2011, : 505 - 508
  • [3] Adaptive Robust RBF-NN Nonsingular Terminal Sliding Mode Control Scheme for Application to Snake Robot's Head for Image Stabilization
    Kim, Sung-Jae
    Suh, Jin-Ho
    APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [4] Simulation of Two AC Motor Coiling Tension Control System
    Chen, Chong
    ADVANCES IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 614-615 : 1449 - 1452
  • [5] Implementation of neural network inverse-model-based control (NN-IMBC) strategy in batch reactors
    Aziz, N
    Hussain, MA
    Mujtaba, IM
    PROCESS SYSTEMS ENGINEERING 2003, PTS A AND B, 2003, 15 : 708 - 713
  • [6] Inverse system based decoupling design and control strategy for crude oil heat exchanger networks
    Sun, Lin
    Wan, Chuanchang
    Zhu, Tianyu
    Luo, Xionglin
    APPLIED THERMAL ENGINEERING, 2025, 258
  • [7] PID Adaptive Control in the Application of the Induction Motor System Based on the RBF Neural Network Inverse
    Li, Zhang
    Bo, Yu
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 2393 - 2396
  • [8] The research of fuzzy PID control strategy based on neural network in the tension system
    He, Yongyi
    Guo, Shuai
    Zhou, Qihong
    KNOWLEDGE ENTERPRISE: INTELLIGENT STRATEGIES IN PRODUCT DESIGN, MANUFACTURING, AND MANAGEMENT, 2006, 207 : 550 - +
  • [9] Internal Model Control Based on RBF Neural Network Inverse System Decoupling in a 3-DOf Helicopter System
    Dong, Xiucheng
    Zhao, Yunyuan
    Rui, Guangzheng
    2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011), 2011, : 570 - 574
  • [10] Research on Power Control Strategy for Micro-grid Based on Inverse System
    Ma Mengchao
    Li Guanglei
    Zhang Yan
    Li Hongbo
    2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012,
12345