热连轧机机液耦合动力学系统控制参数优化

发布时间：2018-10-14 13:09

【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。
[Abstract]:A method of optimizing control parameters and vibration of liquid coupling system of hot strip mill based on double objective improved particle swarm optimization (PSO) is presented in this paper. By establishing the dynamic model of hydro-mechanical coupling system of hot strip mill, the control parameters of hydraulic pressure reduction system are optimized by taking the best response index and the weakest vibration intensity of the coupled system of hot strip mill as the objective function. The optimal control parameters with minimum vibration are obtained on the premise of satisfying the dynamic response requirements of the system, and the effective values and dynamic responses of the vibration acceleration of the system under different control parameters are obtained by numerical calculation. The simulation results show that the dynamic response index can not meet the requirement when the system vibration is minimum, but the system vibration is larger when the response index is optimal. The optimization method is applied to industrial field rolling mill. It is proved by practice that the vibration of rolling mill can be effectively alleviated by adjusting the control parameters of hydraulic pressure reduction system of rolling mill, which provides an effective solution for restraining the vibration of hot strip mill.
【作者单位】：湖南科技大学机电工程学院;
【基金】：国家自然科学基金(51505142)
【分类号】：TG333

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