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基于耦合反步法的轧机垂扭耦合振动控制策略研究

张柳柳 钱承 华长春 白振华 雷彤

自动化学报2023,Vol.49Issue(12):2569-2581,13.
自动化学报2023,Vol.49Issue(12):2569-2581,13.DOI:10.16383/j.aas.c200936

基于耦合反步法的轧机垂扭耦合振动控制策略研究

The Control Strategy of Vertical Torsional Coupling Vibration of Rolling Mill Based on Coupled Backstepping Method

张柳柳 1钱承 1华长春 1白振华 2雷彤3

作者信息

  • 1. 燕山大学电气工程学院 秦皇岛 066004
  • 2. 燕山大学国家冷轧板带装备及工艺工程技术研究中心 秦皇岛 066004
  • 3. 中国重型机械研究院股份公司轧钢工程事业部 西安 710032
  • 折叠

摘要

Abstract

A control strategy based on coupling backstepping method is proposed to suppress the vertical torsional coupling vibration of rolling mill.Firstly,the coupling effect of the drive system,hydraulic system and the roll sys-tem is considered.According to the dynamic theorem,the vertical torsional coupling vibration model of the rolling mill is established.Then,in view of the coupling relationship between the two subsystems,a control strategy of electromechanical hydraulic vertical torsional coupling vibration suppression of rolling mill is proposed.Based on the specific order backstepping method,the coupling vibration control strategy is designed to overcome the prob-lem of nesting each other in the controller design.Considering the output performance constraints of the coupled system,with the aid of the barrier Lyapunov function method and the neural network to approximate the unknown nonlinear function,an adaptive neural network vibration suppression control strategy is designed.It is proved theor-etically that the designed controller can make the system output meet the required transient-steady performance in-dex.Finally,a simulation is carried out on 650 mm rolling mill by using the actual data to show the validity of the proposed control strategy in this paper.

关键词

机电液/垂扭耦合/输出受限/自适应控制/轧机振动抑制

Key words

Electromechanical hydraulic/vertical torsional vibration coupling/output constraints/adaptive control/rolling mill vibration suppression

引用本文复制引用

张柳柳,钱承,华长春,白振华,雷彤..基于耦合反步法的轧机垂扭耦合振动控制策略研究[J].自动化学报,2023,49(12):2569-2581,13.

基金项目

国家自然科学基金(62103353,62273297,61803326,61825304,61751309)资助Supported by National Natural Science Foundation of China(62103353,62273297,61803326,61825304,61751309) (62103353,62273297,61803326,61825304,61751309)

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