ժҪ Load distribution is the foundation of shape control and gauge control, in which it is necessary to take into account the shape control ability of TCM (tandem cold mill) for strip shape and gauge quality. First, the objective function of generalized shape and gauge decoupling load distribution optimization was established, which considered the rolling force characteristics of the first and last stands in TCM, the relative power, and the TCM shape control ability. Then, IGA (immune genetic algorithm) was used to accomplish this multi��objective load distribution optimization for TCM. After simulation and comparison with the practical load distribution strategy in one tandem cold mill, generalized shape and gauge decoupling load distribution optimization on the basis of IGA approved good ability of optimizing shape control and gauge control simultaneously.
Abstract��Load distribution is the foundation of shape control and gauge control, in which it is necessary to take into account the shape control ability of TCM (tandem cold mill) for strip shape and gauge quality. First, the objective function of generalized shape and gauge decoupling load distribution optimization was established, which considered the rolling force characteristics of the first and last stands in TCM, the relative power, and the TCM shape control ability. Then, IGA (immune genetic algorithm) was used to accomplish this multi��objective load distribution optimization for TCM. After simulation and comparison with the practical load distribution strategy in one tandem cold mill, generalized shape and gauge decoupling load distribution optimization on the basis of IGA approved good ability of optimizing shape control and gauge control simultaneously.
PENG Peng;YANG Quan. Generalized Shape and Gauge Decoupling Load Distribution Optimization Based on IGA for Tandem Cold Mill[J]. �й������ڿ���, 2009, 16(2): 30-0.
PENG Peng;YANG Quan. Generalized Shape and Gauge Decoupling Load Distribution Optimization Based on IGA for Tandem Cold Mill. Chinese Journal of Iron and Steel, 2009, 16(2): 30-0.
2009, Vol. 16 
