本项目以轧制装备稳定运行的需求为背景，以板带轧机系统为研究对象，考虑非线性结构和非均匀载荷的耦合作用，对轧机系统的动态特性和运行状态优化方法展开研究。针对其内部复杂结构、外部载荷波动引起的多源振动信号耦合问题，建立完善的板带轧机系统三维空间动态机理模型，阐明系统内部各部件之间动态响应的耦合机理，为实现板带轧机运行状态多目标优化奠定理论基础；针对轧机装备-工艺匹配度低的问题，建立工艺参数-轧机运行状态时间序列预测模型，揭示工艺参数波动与轧机运行状态之间的作用规律，为实现轧机运行状态多目标实时优化提供技术支持；针对多目标优化问题评估代价大的问题，融入动态机理和轧机运行数据，建立机理-数据双驱的板带轧机运行状态多目标实时优化方法。项目研究成果为保障板带轧机系统稳定运行提供有价值的基础理论与关键技术。

This project is based on the requirement of rolling equipment’s stable operation, and regards the strip rolling mill system as the research object. Considering the coupling effect between non-linear structure and non-uniform load, the dynamic characteristics of the rolling mill system and the optimization method of operation state are studied at the same time. Aiming at the problem of multi-source vibration signals’ coupling effect caused by the complex internal structure and external load fluctuation, the three-dimensional spatial dynamic mechanism model of rolling mill system is established. Meanwhile, the coupling mechanism of dynamic response among various components in the rolling mill system is clarified. The dynamic mechanism model and its corresponding coupling mechanism established theoretical foundation for realizing the multi-objective optimization of strip rolling mill’s operation state. Aiming at the problem of low matching degree between equipment and rolling process parameters, the time series prediction model of process parameters and rolling mill’s operation state is established to reveal the law between parameters’ fluctuation and rolling mill’s operation state. At the same time, the built prediction model provides technical support for realizing multi-objective on-line optimization of rolling mill’s operation state. Aiming at the high evaluation cost of multi-objective optimization problem, a multi-objective on-line optimization method with double drive of mechanism and data by incorporating dynamic mechanism and rolling mill’s operation data. This project’s research results would provide valuable basic theory and key technology to ensure the operation stability of strip rolling mill system.