Rolling Force Adaptive Learning of Tandem Cold Rolling Mill Using PSO Algorithm
会议名称：《第五届流体传动与控制国际会议》
会议日期：2007年
学科分类：080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
关 键 词：tandem cold rolling rolling force selfadaption particle swarm optimization
摘 要：正In tandem cold rolling,rolling force is an important parameter to AGC（Automatic Gauge Control） *** improve the precision of rolling force prediction,online self-adaption software is developed for a five-stand tandem cold rolling *** exponential smoothing method a rolling force self-adaption algorithm based on measured data is *** new rolling force model coefficient is made of the ratio of measured value and new setting value which is recalculated by other measured variables. As the main influencing factor of rolling force,the deformation resistance of strip material is recalculated and fit of parameter using particle swarm optimization *** the online self-adaption and self-learning,the model of rolling force has steady performance and high precision,and the rolling efficiency of tandem cold rolling mill is highly improved.