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。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。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。
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.
出处
《振动与冲击》
EI
CSCD
北大核心
2017年第16期73-78,共6页
Journal of Vibration and Shock
基金
国家自然科学基金(51505142)
关键词
热连轧机
机液耦合
粒子群
目标函数
优化
hot strip tandem mill
hydraulic-mechanical coupling
particle swarm optimization
objective function
optimization