Based on measuring system of the roll temperature, the closed-loop fuzzy control system of segmented cooling is introduced, in order to solve the problem existing in the control of strip crown in the hot rolling of aluminum alloys. The simple measurement equipment and control system is used, instead of the expensive and complex strip crown control system. First the adaptive PSO-BP neural network is trained with the actual data of rolling, and the temperature presetting model is set by completed training neural network based on the target crown of aluminum strip. Then, the fuzzy control rules of the segmented cooling system are designed according to the operation experience of worker and the results of theoretical analysis. The goal of control strip crown is achieved ultimately. Through the verification of the two high reversible hot rolling mill, the deviation value of roll temperature can be controlled within ±4 ℃ and the proportion of aluminum strip crown within the scope of target crown(20~40 μm) is 95% on the aluminum strip with longitudinal. The method takes full advantage of the control ability of segmented cooling system for strip crown.
GAO Shanfeng, XI Anmin, YANG Xian
. Closed-loop Control Strategy of Segmented Cooling in Hot Rolling of Aluminum Alloys[J]. Journal of Mechanical Engineering, 2016
, 52(8)
: 207
-210
.
DOI: 10.3901/JME.2016.08.207
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