The application of compensatory fuzzy neural network in plastics thickness control system

被引：0

作者：

Yu, MH ^{[1
]}

Qu, SH ^{[1
]}

Jiang, CS ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Automat Coll, Nanjing 210002, Peoples R China

来源：

2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3 | 2004年

关键词：

BOPP film thickness; compensatory fuzzy neural network; self-organization competition NN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For BOPP control problems, Fuzzy NN has been applied to the field of BOPP control over BOPP film assembly line. Compensation Fuzzy NN is proposed in this paper, according to the theory of Compensation. Meanwhile, due to the Self-organization Competition NN, the parameters of the center and width, which represent membership of the Compensation Fuzzy NN, have been trained, so that the net weights are well optimized, the computation is also much reduced. The conclusion has been arrived from the Simulation results, that the robustness of the control system is improved, as well as its anti-jamming capacity.

引用

页码：2155 / 2159

页数：5

共 50 条

[31] Study of fuzzy and fuzzy neural network control strategies in mechatronic system
Cong, Shuang
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 1999, 19 (07): : 30 - 32
[32] Application of fuzzy neural network in synchronous control of pinch rolls
Cui, Bao-Xia
Kong, Fan-Shun
Duan, Yong
Shenyang Gongye Daxue Xuebao/Journal of Shenyang University of Technology, 2009, 31 (03): : 351 - 355
[33] Application of neural network and fuzzy model to grinding process control
Odior A.O.
Evolving Systems, 2013, 4 (3) : 195 - 201
[34] An application on intelligent control using neural network and fuzzy logic
Tyan, CY
Wang, PP
Bahler, DR
NEUROCOMPUTING, 1996, 12 (04) : 345 - 363
[35] The application of fuzzy neural network for contamination control of hydraulic oil
Xu, Y
Wang, XZ
Wang, J
Li, J
1997 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT PROCESSING SYSTEMS, VOLS 1 & 2, 1997, : 322 - 324
[36] Adaptive control for memristive system via compensatory controller and Chebyshev neural network
Wang, Shaofu
SCIENTIFIC REPORTS, 2024, 14 (01):
[37] Compensatory fuzzy neural network control with dynamic parameters estimation for linear voice coil actuator
Chen, Syuan-Yi
Lee, Cheng-Yan
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2017, 48 : 191 - 202
[38] Compensatory fuzzy neural network control with dynamic parameters estimation for linear voice coil actuator
Chen, Syuan-Yi (chensy@ntnu.edu.tw), 2017, Elsevier Inc. (48)
[39] Application Research of Pipe Racking System Based on Improved Fuzzy Neural Network PID Control
Song, Jian-hua
Cai, Da-wei
Zhu, Xing-dong
ADVANCED POLYMER PROCESSING III, 2013, 561 : 448 - +
[40] Application of Fuzzy Neural Network in Diagnosis of Gastrointestinal System Diseases
Song Weicai
Wu Yanxia
PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017), 2017, 130 : 1454 - 1458

← 1 2 3 4 5 →