| 赵建翊1， 郁磊彬2， 林伟赟3， 袁立力2， 王伟4.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 |
| 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 |
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| DOI：10.3969/j.issn.1005 2895.2025.05.010 |
| 中文关键词: 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 |
| 英文关键词:tobacco machinery irregular cigarette sorting machine multi objective optimization factor efficiency optimization factor XGBoost algorithm |
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| 摘要点击次数: 1 |
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| 中文摘要: |
| 针对控制异型条烟分拣机时，单一的优化因子仅可实现对分拣机部分性能的控制，无法有效提高控制精度的问题，笔者提出了考虑效率多目标优化因子的异型条烟分拣机XGBoost控制方法。以分拣效率最大化和分拣能耗最小化为控制目标，设定分拣速度和分拣机流量波动适应能力为分拣效率的优化因子，设定瞬时功率和机械臂磨损量为分拣能耗的优化因子，分别构建了控制子目标函数；结合约束条件，采用XGBoost算法对分拣机运行过程中的分拣效率和分拣能耗进行了综合预测，计算其与实际值之间的偏差，通过多次迭代，使偏差最小，实现了对分拣机性能的提升。实验结果表明该方法在实际应用中能有效提高分拣效率和降低分拣能耗，且分拣结果的偏差率平均值为1.50%。 |
| 英文摘要: |
| 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%. |
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