摘要
结合现场情况介绍了热轧带钢层流冷却设备和控制系统的数学模型,其中数学模型主要包括空冷模型、水冷模型、反馈控制模型和自学习模型.由于某热轧厂采用非匀速轧制工艺制度,带钢在冷却区内既有较大升速又有较大降速,原层流冷却系统不能够适应轧制速度的变化而影响卷取温度控制精度,故需针对轧制速度的变化进行速度前馈补偿控制;从过程自动化和基础自动化两个方面对速度前馈补偿控制进行了优化.实际应用表明,优化后系统运行稳定可靠,控制精度高,显著提高了产品的性能,并为新钢种的开发奠定了基础.
Equipment and mathematical models of a hot strip mill laminar cooling control system were described.Mathematical models of the system consist of models for air cooling,laminar cooling,feedback control,and self-learning.The original laminar cooling system was unable to effectively handle the relatively large changes in strip speed in the cooling area,thereby significantly compromising coiling temperature control accuracy.Speed feedforward compensation was proposed to achieve more adequate coiling temperature control.Improved speed feedforward compensation methods are provided in the process automation system and in the basic automation system.The optimized laminar cooling system was stable and reliable with high control precision,and metallurgical properties of the product were improved significantly,thereby laying a foundation for users to develop new products.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第4期516-519,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(50634030)
关键词
热轧带钢
层流冷却
非匀速轧制
速度前馈补偿
数学模型
hot rolled strip
laminar cooling
non-constant speed rolling
speed feedforward compensation
mathematic model
