热连轧机机液耦合动力学系统控制参数优化

凌启辉,赵前程,王宪,王肖芬

振动与冲击 ›› 2017, Vol. 36 ›› Issue (16) : 73-78.

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (16) : 73-78.
论文

热连轧机机液耦合动力学系统控制参数优化

  • 凌启辉 , 赵前程 ,王宪 ,王肖芬
作者信息 +

Control Parameters Optimization of Hydraulic-mechanical Coupling System of Hot Strip Tandem Mill

  •   Ling Qi-hui 1   Zhao Qian-cheng 1  Wang Xian 1  Wang Xiao-fen 1
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摘要

以现场某热连轧机机液耦合系统为研究对象,提出一种基于双目标改进粒子群优化热连轧机机液耦合系统控制参数并控制其振动的方法。本文通过建立热连轧机机液耦合系统动力学模型,以热连轧机机液耦合系统响应指标最佳和振动强度最弱为目标函数,对液压压下系统控制参数进行优化,获得了在满足系统动态响应要求的前提下其振动最小的最优控制参数;通过数值计算得到系统在不同控制参数下的振动加速度有效值和动态响应,仿真结果表明系统振动最小时其动态响应指标达不到要求,而响应指标最优时系统振动较大。最后,将优化方法应用于工业现场轧机,实践证明,调整轧机液压压下系统控制参数后可有效缓解轧机振动大小,为抑制热连轧机振动提供了有效的解决途径。

Abstract

Take a hydraulic-mechanical coupling system of industrial field hot strip tandem mill as the research object, a vibration control method which is put forward to optimize control parameters based on an dual target of improved particle swarm optimization. First the hydraulic-mechanical coupling system dynamic model is established, and takes the best system response index and the weakest vibration intensity as the objective function, to optimize the hydraulic pressure system control parameter and obtain the optimal control parameters. The relation curve of the control parameters with the vibration acceleration effective value and dynamic response are described using a numerical analysis method. The simulation results show that the system dynamic response index cannot meet the requirements with minimum vibration, and the system dynamic response index is optimal while system vibration is strong. Finally the results of optimization are applied to the industrial field mill; it proves that the adjustment control parameters of the hydraulic pressure down system can effectively alleviate system vibration, which provided effective solution to curb hot strip tandem mill vibration.

关键词

热连轧机 / 机液耦合 / 粒子群 / 目标函数 / 优化

Key words

Hot Strip Tandem Mill / Hydraulic-mechanical Coupling / Particle Swarm Optimization / objective function / Optimization

引用本文

导出引用
凌启辉,赵前程,王宪,王肖芬 . 热连轧机机液耦合动力学系统控制参数优化[J]. 振动与冲击, 2017, 36(16): 73-78
Ling Qi-hui Zhao Qian-cheng Wang Xian Wang Xiao-fen . Control Parameters Optimization of Hydraulic-mechanical Coupling System of Hot Strip Tandem Mill[J]. Journal of Vibration and Shock, 2017, 36(16): 73-78

参考文献

[1] PENG K X,ZHANG K,DONG J,et al.A New Data-driven Process Monitoring Scheme for Key Performance Indictors with Application to Hot Strip Mill Process[J].Journal of Franklin Institute,2014,351(09):4555-4569.
[2] Kapil S,Eberhard P,Dwivedy,et al.Nonlinear Dynamic Analysis of a Parametrically Excited Cold Rolling Mill[J].Journal of Manufacturing Science & Engineering,2014,136(04):10-19.
[3] 闫晓强.热连轧机机电液耦合振动控制[J].机械工程学报,2011,47(17):61-65.
YAN Xiao-qiang.Machinery-electric-hydraulic Coupling Vibration Control of Hot Continuous Rolling Mills [J].Journal of Mechanical Engineering,2011,47(17):61-65.
[4] 高峰,郭为忠,宋清玉,等.重型制造装备国内外研究与发展[J].机械工程学报,2010,46(19):92-107.
Gao Feng,Guo Wei-zhong,Song Qing-yu,et al.Current Development of Heavy-duty Manufacturing Equipments [J].Journal of Mechanical Engineering,2010,46(19):92-107.
[5] 姚爱英,熊晓燕,王然风,等.大型带钢轧机动态特性分析与动力学修改[J].振动、测试与诊断,2012,34(04):680-684.
Yao Aiying,Xiong Xiaoyan,Wang Ranfeng,et al.Dynamic Performance Analysis and Dynamics Modification of Large Strap Rolling Mills[J].Journal of Vibration, Measurement &Diagnosis,2012,34(04):680-684.
[6] 凌启辉,闫晓强,张清东,等.双动力源驱动下的热连轧机振动特征[J].振动测试与诊断,2014,34(03):534-538.
Ling Qi-hui,Yan Xiao-qiang,Zhang Qing-dong,et al.Research on vibration characteristics of the hot rolling mill by dual power source driven[J].Journal of Vibration,Measurement & Diagnosis,2014,34(03):534-538.
[7] Panjković R V,Gloss J,Steward S,et al.Causes of Chatter in a Hot Strip Mill:Observations,Qualitative Analyses and Mathematical Modeling[J].Journal of Materials Processing Technology,2012,212(04):954-961.
[8] Yan Xiao-qiang,SUN Zhi-hui,Chen Wei.Vibration control in thin slab hot strip mills[J].Iron making and Steelmaking,2011,38(4):309-313.
[9] 韩东颖,时培明,赵东伟,等.板带轧机机电传动系统参激非线性扭振鲁棒控制研究[J].振动与冲击,2016,35(12):1-7.
HAN Dong-ying,SHI Pei-ming,ZHAO Dong-wei,et al.Study on robust control for parametric excitation nonlinear torsional vibration of a strip-rolling mill's mechanical and electrical drive system[J].Journal of Vibration and Shock,2016,35(12):1-7.
[10] SUN jie,ZHANG Dian-hua,LI Xu,et al.Smith Prediction Monitor AGC System Based on Fuzzy Self-Tuning PID Control[J].Journal of Iron and Steel Research.2010,17(02):22-26.
[11] Shufang Sun,Jiahai Zhang,Jianhui Wang,et al.The Application of New Adaptive PSO in AGC and AFC Combination Control System[C]//International Workshop on Automobile,Power and Energy Engineering:Procedia Engineering,2011,16:702 – 707.
[12] LI Xu,ZHANG Hao-yu,ZHANG Jin,et al.Influences to System and Superiority of Model Parameters in Dynamic Setting AGC[C]// 2011 International Conference on Physics Science and Technology (ICPST 2011):Physics Procedia,2011,22:565-570.
[13] 马维金,李凤兰,王俊元,等.热连轧机磁栅尺结构的模型参数辨识[J].振动、测试与诊断,2010,30(06):646-649+709.
Ma Wei-jin,Li Feng-lan,Wang Jun-yuan,et al.Modeling System Identification of Roller Gap Displacement Sensor Structure of Hot Rolling Mill[J].Journal of Vibration,Measurement &Diagnosis,2012,30(06):646-650+709.
[14] 凌启辉.现代热连轧机液机耦合振动研究[D].北京科技大学,2014,38-74.
Ling Qi-hui.Mechanical-hydraulic coupling vibration of modern hot continuous rolling mill [D].University of Science and Technology Beijing,2014,38-74.
[15] Kanchana S,Woraya N.Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations[J].European Journal of Operational Research,2016,252(03):969-984.
[16] 王唯一,张明泉,杨帆,陈次祥.基于粒子群算法的PID调速系统的研究[J].控制工程,2015,22(06):1082-1086.
Wang Wei-yi,Zhang Ming-quan,Yang Fan,et al.Study of PID Speed Controller Based on Particle Swarm Optimization.Control Engineering of China,2015,22(06):1082-1086.
[17] 陈玲娟,蒲云.基于粒子群算法的双目标可靠性网络设计[J].交通运输工程学报,2010,05:61-65.
Chen Ling-juan,Pu Yun.Dual-objective reliable network design based on particle swarm optimizationJournal of Traffic and Transportation Engineering,2010,05:61-65.
[18] 侯磊.基于多目标粒子群算法的船舶主尺度优化设计研究[J].船舶力学,2011,15(07):784-790.
Hou Lei.Application of Multi-objective Particle Swarm Optimization(MOPSO) in study of ship’s principal parameters[J].Journal of Ship Mechanics,2011,15(07):784-790.

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