轻工机械2025，Vol.43Issue(5)：77-81,5.DOI:10.3969/j.issn.1005-2895.2025.05.010
考虑效率多目标优化因子的异型条烟分拣机XGBoost控制方法
XGBoost Control Method for Irregular Cigarette Sorting Machine Considering Multi-Objective Optimization Factors of Efficiency
赵建翊 1郁磊彬 2林伟赟 3袁立力 2王伟4
作者信息
- 1. 中国烟草总公司浙江省公司,浙江 杭州 310002
- 2. 浙江省烟草公司宁波市公司,浙江 宁波 315000
- 3. 上海烟草集团北京卷烟厂有限公司,北京 101121
- 4. 江西中烟工业有限责任公司赣州卷烟厂,江西 赣州 341001
- 折叠
摘要
Abstract
In response to the problem that a single optimization factor can only achieve partial performance control of the sorting machine when controlling the irregular cigarette sorting machine,and cannot effectively improve control accuracy,an XGBoost control method for irregular cigarette sorting machine considering multi-objective optimization factors of efficiency was proposed.Maximizing sorting efficiency and minimizing sorting energy consumption were set as control objectives.The sorting speed and the adaptability of sorting machine flow fluctuations were set as optimization factors for sorting efficiency,and instantaneous power and mechanical arm wear amount were set as optimization factors for sorting energy consumption.Control sub objective functions were constructed separately.Based on the constraints,the XGBoost algorithm was used to comprehensively predict the sorting efficiency and sorting energy consumption during the operation of the sorting machine.The deviation between the predicted and actual values was calculated,and through multiple iterations,the deviation was minimized,achieving an improvement in the performance of the sorting machine.The experimental results show that this method can effectively improve sorting efficiency and reduce sorting energy consumption in practical applications,and the average deviation rate of sorting results is only 1.50%.关键词
烟草机械/异型条烟分拣机/多目标优化因子/效率优化因子/XGBoost算法Key words
tobacco machinery/irregular cigarette sorting machine/multi-objective optimization factor/efficiency optimization factor/XGBoost algorithm分类
机械制造引用本文复制引用
赵建翊,郁磊彬,林伟赟,袁立力,王伟..考虑效率多目标优化因子的异型条烟分拣机XGBoost控制方法[J].轻工机械,2025,43(5):77-81,5.
