陈志红,金旻.基于单神经元自适应算法的贴标机张力控制方法[J].包装工程,2017,38(17):169-173.
CHEN Zhi-hong,JIN Min.Labeling Machine Tension Control Method Based on Single Neuron Adaptive Algorithm[J].Packaging Engineering,2017,38(17):169-173. |
| 基于单神经元自适应算法的贴标机张力控制方法 |
| Labeling Machine Tension Control Method Based on Single Neuron Adaptive Algorithm |
| 投稿时间：2017-06-07 修订日期：2017-09-10 |
| DOI： |
| 中文关键词: 贴标机 张力控制 单神经元 自适应控制 |
| 英文关键词: labeling machine tension control single neuron adaptive control |
| 基金项目:河南省教育厅科技攻关项目（2009C510002）；河南省软科学研究项目（152400410296） |
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| 中文摘要: |
| 目的 为了保证贴标机标带张力的恒定，以提高贴标精度。方法 基于单神经元自适应算法提出一种贴标机恒张力控制方法，详细分析贴标机供标机构的动力学模型，并得到动态力矩平衡方程，阐述影响张力恒定的关键因素。根据单神经元控制理论，提出一种张力自适应控制算法，并设计相应控制器。搭建试验平台，进行相关试验研究。结果 采用所述控制方法，贴标机正标率均大于97%，贴标过程张力恒定。结论 该控制系统贴标精度较高，适用范围广，响应快速稳定。 |
| 英文摘要: |
| The work aims to ensure the constant tension of mark tapes used in the labeling machine to improve the labeling accuracy. A constant tension control method for labeling machine was put forward based on the single neuron adaptive algorithm. The dynamic model of label deliver mechanism of the labeling machine was analyzed in detail, and the dynamic torque balance equation was obtained. The key factors influencing constant tension were expounded. A tension adaptive control algorithm was proposed based on the single neuron control theory and the corresponding controller was designed. Finally, a test platform was set up to carry out the related experiment studies. The results showed that, based on the control method described herein, the labeling machine's standard-label rate was more than 97% and the tension was constant during the labeling. The proposed control system has advantages such as high labeling precision, wide application range and fast and stable response. |
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