Control parameter optimization of a hydraulic-mechanical coupling system of hot strip tandem mill

被引：0
|
作者：
Ling Q. [1 ]
Zhao Q. [1 ]
Wang X. [1 ]
Wang X. [1 ]
机构：
[1] College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan
来源：
| 1600年 / Chinese Vibration Engineering Society卷 / 36期
关键词：
Hot strip tandem mill; Hydraulic-mechanical coupling; Objective function; Optimization; Particle swarm optimization;
D O I：
10.13465/j.cnki.jvs.2017.16.012
中图分类号：
学科分类号：
摘要：
Take a hydraulic-mechanical coupling system of industrial field hot strip tandem mill as the research object, a vibration control method was put forward to optimize control parameters based on an dual target of improved particle swarm optimization. First the hydraulic-mechanical coupling system dynamic model was established, and took 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 were 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 were 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 provides effective solution to curb hot strip tandem mill vibration. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.
引用
收藏
页码：73 / 78
页数：5
相关论文
共 17 条
  • [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, Journal of Franklin Institute, 351, 9, pp. 4555-4569, (2014)
  • [2] Kapil S., Eberhard P., Dwivedy S.K., Et al., Nonlinear dynamic analysis of a parametrically excited cold rolling mill, Journal of Manufacturing Science & Engineering, 136, 4, pp. 10-19, (2014)
  • [3] Yan X., Machinery-electric-hydraulic coupling vibration control of hot continuous rolling mills, Journal of Mechanical Engineering, 47, 17, pp. 61-65, (2011)
  • [4] Gao F., Guo W., Song Q., Et al., Current development of heavy-duty manufacturing equipments, Journal of Mechanical Engineering, 46, 19, pp. 92-107, (2010)
  • [5] Yao A., Xiong X., Wang R., Et al., Dynamic performance analysis and dynamics modification of large strap rolling mills, Journal of Vibration, Measurement &Diagnosis, 34, 4, pp. 680-684, (2012)
  • [6] Ling Q., Yan X., Zhang Q., Et al., Research on vibration characteristics of the hot rolling mill by dual power source driven, Journal of Vibration, Measurement & Diagnosis, 34, 3, pp. 534-538, (2014)
  • [7] Panjkovic R.V., Gloss J., Steward S., Et al., Causes of chatter in a hot strip mill: observations, qualitative analyses and mathematical modeling, Journal of Materials Processing Technology, 212, 4, pp. 954-961, (2012)
  • [8] Yan X., Sun Z., Chen W., Vibration control in thin slab hot strip mills, Iron making and Steelmaking, 38, 4, pp. 309-313, (2011)
  • [9] Han D., Shi P., Zhao D., Et al., Study on robust control for parametric excitation nonlinear torsional vibration of a strip-rolling mill's mechanical and electrical drive system, Journal of Vibration and Shock, 35, 12, pp. 1-7, (2016)
  • [10] Sun J., Zhang D., Li X., Et al., Smith prediction monitor AGC system based on fuzzy self-tuning PID control, Journal of Iron and Steel Research, 17, 2, pp. 22-26, (2010)
12