Decoupling Controller Design for Unwinding Tension System

您当前的位置：

首页 >

文章列表页 >

Decoupling Controller Design for Unwinding Tension System

更新时间：2025-07-09

- Decoupling Controller Design for Unwinding Tension System
- Vol. 46, Issue 9, Pages: 55-59+90(2012)
- 作者机构：
  
  西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP273
- Online First：10 September 2012，
  
  Published：2012
- 稿件说明：
移动端阅览
Decoupling Controller Design for Unwinding Tension System[J]. 2012, 46(9): 55-59+90.
DOI：

Decoupling Controller Design for Unwinding Tension System[J]. 2012, 46(9): 55-59+90. DOI：

摘要

针对凹版印刷机放卷系统对张力控制稳定性的要求

提出了一种利用自抗扰控制(ADRC)技术来设计张力解耦控制器的新方法.根据放卷系统的工作机理

建立了放卷张力系统的非线性耦合数学模型

用ADRC方法推导了张力系统的解耦模型

得到了系统阶数和静态解耦模型.在放卷张力系统模型的基础上

利用ADRC技术对放卷系统的张力解耦控制器进行了设计.控制器内部鲁棒性和抗干扰性能的对比仿真结果表明

所设计的ADRC解耦控制器可以较好地实现系统的解耦

并具有比传统比例积分微分控制器更好的内部鲁棒性和抗干扰性.

Abstract

A new decoupling controller based on a unique active disturbance rejection control(ADRC)strategy is presented to strengthen tension stability in unwinding system of gravure printing machine. A nonlinear model is established according to the unwinding system working principle

and a decoupling model is constructed to determine the system order and static decoupling part. Then following the decoupling model

an ADRC decoupling controller is designed to enhance the tension stability in the unwinding system. Simulation shows that the proposed tension controller is able to realize a decoupling control for unwinding system and endowed with better internal robustness and disturbance rejection than traditional proportional-integral-derivative controller in tension control.

关键词

Keywords

references

LI Jian, MEI Xuesong, TAO Tao, et al. Design tension controller of unwinding system based on BP neural network [J]. Advanced Science Letters, 2011, 4(6/7): 2222-2226.

LUO Fanglin. Multiple-page-mapping backpropagation neural network for constant tension control [J]. IEE Proceedings: Electric Power Applications, 1998, 145(3): 239-245.

WANG Chunxiang, WANG Zhangyong, YANG Ruqing, et al. Research on precision tension control system based on neural network [J]. IEEE Transactions on Industrial Electronics, 2004, 51(2): 381-386.

ABJADI N R, SOLTANI J, ASKARI J, et al. Nonlinear sliding-mode control of a multi-motor web-winding system without tension sensor [J]. IET Control Theory and Applications, 2009, 3(4): 419-427.

OKADA K, SAKAMOTO T. An adaptive fuzzy control for web tension control system [C]∥ Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society. Piscataway, NJ, USA: IEEE, 1998: 1762-1767.

李健,梅雪松,陶涛,等. 放卷张力系统H∞鲁棒控制器的设计 [J].西安交通大学学报,2012, 46(1): 86-90.

LI Jian, MEI Xuesong, TAO Tao, et al. H∞ robust control design for unwinding tension system [J]. Journal of Xi'an Jiaotong University, 2012, 46(1): 86-90.

KNITTEL D, LAROCHE E, GIGAN D, et al. Tension control for winding systems with two-degrees-of-freedom H∞controllers [J]. IEEE Trans actions on Industry Applications, 2003, 39(1): 113-120.

HAN Jingqing. From PID to active disturbance rejection control [J]. IEEE Transactions on Industrial Electronics, 2009,56(3): 900-906.

韩京清. 自抗扰控制技术: 估计补偿不确定因素的控制技术 [M]. 北京:国防工业出版社, 2008: 255-262.

HOU Yi, GAO Zhiqiang, JIANG Fangjun, et al. Active disturbance rejection control for web tension regulation [C]∥Proceedings of the IEEE Conference on Decision and Control. Piscataway, NJ, USA: IEEE, 2001: 4974-4979.

ZHOU Wankun, GAO Zhiqiang. An active disturbance rejection approach to tension and velocity regulations in web processing lines [C]∥Proceedings of the IEEE International Conference on Control Applications. Piscataway, NJ, USA: IEEE, 2007: 842-848.

MOKHTARI F, SICARD P, HAZZAB A. Decentralized nonlinear control strategies for disturbance rejection in winding systems [C]∥2011 IEEE International Electric Machines and Drives Conference. Piscataway, NJ, USA: IEEE, 2011: 230-235.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

H∞ Robust Control Design for Unwinding Tension System

Research on the Electrohydrodynamic Effects of Ionic Liquid-Modified Fuels

Bi-Level Multi-Obj ective Optimization of a Wind-Solar Coupled Hydrogen Production System Based on the Synergy of Hybrid Electrolyzer Arrays

Energy Efficiency Optimization of the Cryogenic Air Separation Process for Electronic-Grade Ultra Pure Nitrogen

A Fast Calculation Method for Thermal Flow Fields in Transformer Windings Based on PI-DeepONet

Related Author

李健 1

陶涛 1

刘志会 1

Related Institution

School of Mechatronics Engineering, Henan University of S

⁰