改进布谷鸟搜索算法在轧制规程优化中的应用

Application of the Improved Cuckoo Search Algorithm in Optimization of Rolling Procedure

针对轧钢精轧过程负荷分配的优化问题,使用基于梯度的自适应布谷鸟搜索(GBAQCS)算法对轧钢精轧机组负荷分配进行了仿真优化试验。首先优化目标函数,确定约束条件,对GBAQCS算法进行了收敛性和稳定性分析;接着对轧钢精轧机组轧制规程进行了优化计算,并对该算法与经验负荷分配法在轧钢精轧机组的负荷分配问题上的计算结果进行了对比。对比结果表明,GBAQCS算法不仅具有良好的收敛性与稳定性,且能够使钢材经过各机架后拥有更加合理的出口厚度,轧制过程中对轧制力的设定也更加符合生产要求。GBAQCS算法既能充分发挥前几个机架的设备能力,提供较大的轧制力,又能使后几个机架针对板形、板厚依次减小轧制力,大大提升了对板形、板厚的优化效果,在负荷分配优化过程中更为合理地分配了轧制力,满足了出口厚度与板形要求。

Aiming at the optimization problem of load distribution in rolling process, the improved cuckoo search algorithm, the gradient - based adaptive quick cuckoo search （ GBAQCS） algorithm is used to accomplish the simulation optimization test for load distribution of rolling mill. Firstly,the objective function is optimized,and the constraints are determined; the convergence and stability analysis is conducted for GBAQCS algorithm, then the rolling procedure of the rolling mill is optimized and calculated, and compared with the calculation result obtained by experiential load distribution. The test results indicate that GBAQCS algorithm features excellent convergence and stability, and to make the output thickness of steel material more reasonable after passing each finishing rolling frame, the set point of the rolling force in the process is more conforming the production requirements. The GBAQCS algorithm fully exerts the equipment capability of front frames, provides larger rolling force, and also make subsequent frame successively reduce the rolling force based on the thickness of the steel plate, thus the optimization effect is greatly improved. In load distribution optimization, this makes the rolling force more reasonable to meet the exit thickness and the shape of the steel plate.