基于粒子群算法的冷连轧压下量与张力优化研究

Reduction Amount and Tension Optimization of Cold Rolling Mill with Particle Swarm Optimization

薄板带钢冷轧过程的打滑是影响带钢质量的重要因素,而打滑因子则表征打滑现象的严重程度。首先介绍了影响冷连轧机轧制过程打滑的主要因素,并根据轧制参数利用逐次逼近法计算轧制力;其次,建立了以打滑因子均匀度为目标的优化函数,给出了基于粒子群优化(PSO)的算法框图,实现了轧制规程、张力制度及轧制力的优化;最后,利用现场采集的数据进行优化仿真。仿真结果表明优化算法正确,通过对压下量与张力的优化可以对打滑现象进行较好的控制。

Slipping in cold rolling process is an important factor related to the quality of cold rolling sheet.The severity of slip phenomenon is characterized by the factor of slipping.This paper describes the major factors affecting the slipping in cold rolling process firstly and calculates the rolling force based on rolling parameters by successive approximation method.Secondly,the optimization function is established based on uniformity of the factor of slipping,and the block diagram of optimized algorithm based on particle swarm optimization（PSO）is given.The optimization of rolling schedule,tension schedule and rolling force is achieved.Thirdly,the optimization simulation is carried out.The simulation results show that the optimization algorithm is correct.Through the optimization of reduction amount and tension,the slipping phenomenon can be better controlled.