基于粒子群算法的冷连轧张力优化计算

Optimization of Tension Computing Based on Particle Swarm Optimization for Cold Rolling

针对冷连轧机高速轧制过程中带钢容易发生打滑的现象,分析了这种打滑现象的物理过程,建立了打滑因子的数学模型,用来表征打滑现象发生的概率。应用该模型研究了基于粒子群优化算法的冷连轧机架间张力优化算法。采用某钢厂现场轧制数据进行了优化算法的仿真试验,结果表明,经过优化后的打滑因子明显减小,打滑现象发生的概率显著降低,通过张力的优化可以很好地控制打滑现象的发生。

For the phenomenon of easy slipping of the steel in cold rolling,the physical process of this slipping was analyzed and the model of the factor of slipping was built which was used to represent the probability of this slipping.After that,the model was used to build the optimizing algorithm of the tension computing between the rollers based on particle swarm optimization.With the real data collected from some cold rolling processes,the optimization simulation experiment was carried out.The simulation results show that the factor of slipping decreases to zero apparently after optimizing.The probability of the slipping just also decreases after the optimization for slipping factor.It shows that the steel slipping problem can be controlled through tension optimization.