文章摘要
苏俊明,李振亮,李亚,刘宝华.称重式包装机系统延时和空中料柱的预测补偿方法[J].包装工程,2014,35(13):85-92.
SU Jun-ming,LI Zhen-liang,LI Ya,LIU Bao-hua.Predictive Compensation Method of System Delay and Materials Stayed in the Air of Weighing Packaging Machine[J].Packaging Engineering,2014,35(13):85-92.
称重式包装机系统延时和空中料柱的预测补偿方法
Predictive Compensation Method of System Delay and Materials Stayed in the Air of Weighing Packaging Machine
投稿时间:2014-05-09  修订日期:2014-07-01
DOI:
中文关键词: 包装机  系统延时  空中料柱  堆积速度  预测补偿  
英文关键词: packaging machine  system delay  materials stayed in the air  accumulation speed  predictive compensation
基金项目:科技人员服务企业计划项目(2009GT1300009)
作者单位
苏俊明 天津科技大学 天津 300222 
李振亮 天津科技大学 天津 300222 
李亚 天津科技大学 天津 300222 
刘宝华 天津科技大学 天津 300222 
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中文摘要:
      目的 研究在包装机在工作过程中, 对系统延时和空中料柱引起的包装误差进行实时预测补偿的方法。 方法 通过分析包装过程中落料高度的变化, 研究系统延时和空中料柱对包装精度的影响和变化情况, 确定系统延时和空中料柱引起的包装误差决定因素。 结果 系统延时和空中料柱会导致最终充填的物料多于当时检测到的值, 由系统延时和空中料柱引起的误差大小, 决定于系统延时与空中料柱落料时间及物料堆积速度, 且随袋中物料增多而减小。 结论 系统延时与空中料柱落料时间之和Δ t可视为袋中物料质量 m的函数, 可提前计算出 Δ t与 m的关系, 从而在需要预测补偿时可计算出相应的Δ t。 由Δ t和前一段时间内的物料堆积速度υ m,可实时预测由Δ t引起的给料误差Δ m,从而实现系统延时与空中料柱的实时预测补偿。
英文摘要:
      Objective To study the real-time predictive compensation methods for calculating the errors caused by system delay and materials stayed in the air during the operation of packaging machine. Methods Through analyzing the fall height of granular materials, the impacts of the system delay and materials stayed in the air on the packing precision and their and changes were studied, and the determinant factors of packaging error caused by them were identified. Results System delay and materials stayed in the air led to excessive final materials than the value of the real-time detection by the system and the error depended on the system delay, the material fall time and the material accumulating rate, and the error decreased with the increase of granular material in the bag. Conclusion The time Δ t of system delay and the material fall time can be regarded as the function of material weight m, so we can calculate the relation of Δ t and m in advance, and then calculate the corresponding Δ t when predictive compensation is needed. Finally, through Δ t and the material accumulating rateυ m of the previous period of time, we can calculate the error Δ m caused by Δ t, thus achieving the purpose of real-time predictive compensation of the system delay and the material in the air.
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