摘要
为了减小热轧机支撑辊动压油膜轴承油膜厚度变化对带钢出口厚度的影响,提高AGC控制精度,建立了基于RBF神经网络的轧机油膜补偿模型;对某2 500 mm单机架热轧中厚板生产线轧机用空压靠法,得到不同轧辊转速和轧制力条件下的轧辊辊缝值,对模型进行训练,并对模型进行仿真。结果表明:基于RBF神经网络的轧机油膜补偿模型能够在线实时地对热轧中厚板生产线油膜厚度变化进行补偿,对改善中厚板带钢的纵向厚差、提高中厚板带钢成材率具有重要意义。
In order to reduce the impact of change of oil film thickness on strip export thickness in dynamic oil film bearing of backup roller and improve the AGC precision,the model of rolling mill oil film compensate was established based on RBF neural network.Using emptypressure methods to a 2 500 mm single-stand hot strip rolling mill,the roller seam values under different roll speed and rolling force were gotten.The model was trained and simulated.The simulation results show that oil film compensate model based on RBF neural network can be used to online real-time compensate oil film thickness changes of hot plate production line.It is important to improve the longitudinal thickness difference of the strip and to increase yield rate of the plate.
引文
[1]张利红,梁英波,李晋.基于SVM的轧机油膜厚度补偿的建立[J].机床与液压,2012,40(18):65-67.
[2]张利红,梁英波,李晋.基于BP神经网络的轧机油膜厚度补偿的测试与建模[J].锻压技术,2012,37(4):116-119.
[3]张明,杨卫东.轧机液压厚度控制系统的定量反馈优化设计[J].机床与液压,2012,40(5):59-63.
[4]侯建新,张飞,韩爽,等.中板轧机液压压上AGC系统的研究与设计[J].机床与液压,2012,40(3):59-63.
[5]张其生,胡贤磊,赵忠,等.中厚板轧机相对油膜厚度模型的建立[J].东北大学学报:自然科学版,2007,28(1):68-71.
[6]陈建华,张殿华,张其生,等.中厚板轧机油膜厚度模型的研究[J].钢铁,2001,36(11):42-45.
[7]陈东宁,姜万录,王益群,等.冷连轧机相对油膜厚度的测试与建模[J].润滑与密封,2007,32(9):77-80.
[8]陈建华,张殿华,王君,等.AGC系统高精度厚度计公式的工程研究[J].轧钢,2002,19(5):42-45.
[9]刘涛,王益群,王海芳,等.冷轧AGC静-动压轴承油膜厚度的分析与补偿[J].机床与液压,2005(8):62-64.