基于协同粒子群算法的铝热轧轧制规程优化

Optimization of Aluminum Hot Rolling Schedule Based on Collaborative PSO

设计合理的轧制规程不仅有利于提高轧制精度和实现良好板型,而且对于延长设备寿命和提高企业效益都有很重要的意义。以某铝厂3 300/2 800双机架铝热轧线为例,采用协同粒子群算法对粗轧机轧制规程进行等轧制力分配优化,利用粒子群算法的快速收敛和Tent序列均匀遍历的特点,进行轧制规程的优化和设定,克服了基本粒子群算法易陷入局部极小的缺点,能够较快地寻找到满足预设目标函数的压下率,实现优化目标。

The reasonable rolling schedule is not only beneficial to improve the accuracy and achieve good shape of cold rolled steel strip,but also have important practical significance in prolonging the service life of equipment and improving the enterprise production efficiency. Making the 3 300/2 800 two stands of aluminum hot rolling line as an example,used collaborative optimization algorithm into roughing mill schedule setting which made equal load in each pass. According to the rapid convergence of particle swarm optimization algorithm and evenly traversal of Tent sequence,it could find pressure ratio satisfying the preset target function quickly,and realized the optimal of rolling schedule.