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鲜切蔬菜包装过程袋膜纠偏控制系统设计
引用本文:吕俊霞,焦欣欣.鲜切蔬菜包装过程袋膜纠偏控制系统设计[J].包装工程,2019,40(21):205-210.
作者姓名:吕俊霞  焦欣欣
作者单位:河南工业职业技术学院,河南南阳,473000
摘    要:目的为了减小鲜切蔬菜包装机袋膜跑偏对产品外观和质量造成的影响,方法提出一种基于模糊控制的智能纠偏控制方案。在分析包装薄膜跑偏原因的基础上,论述纠偏系统的工作原理。采用机器视觉获取包装薄膜的实际位置,并计算跑偏量。结合模糊控制和灰色预测设计一种模糊控制器,包括包装膜位置灰色预测模型和模糊加权PID控制。最后进行试验研究。结果试验结果表明,所述纠偏控制系统可将纠偏误差控制在±0.5 mm内,实际偏移量最大值仅为0.4 mm,平均误差只有0.19 mm。结论该控制系统可以有效地提高系统纠偏精度,能较好地满足鲜切蔬菜包装工艺要求。

关 键 词:鲜切蔬菜  纠偏  模糊控制  灰色预测
收稿时间:2019/4/24 0:00:00
修稿时间:2019/11/10 0:00:00

Bag Film Design of Deviation Correction Control System in the Process of Fresh-cut Vegetable Packaging
LYU Jun-xia and JIAO Xin-xin.Bag Film Design of Deviation Correction Control System in the Process of Fresh-cut Vegetable Packaging[J].Packaging Engineering,2019,40(21):205-210.
Authors:LYU Jun-xia and JIAO Xin-xin
Affiliation:Henan Polytechnic Institute, Nanyang 473000, China and Henan Polytechnic Institute, Nanyang 473000, China
Abstract:The work aims to reduce the impact of bag film deviation of fresh-cut vegetable packaging machine on the product appearance and quality. An intelligent deviation correction control scheme was presented based on fuzzy control. On the basis of analyzing the reasons of deviation of packaging film, the working principle of deviation correction system was discussed. Machine vision was used to obtain the actual position of packaging film and calculate the deviation. A fuzzy controller was designed by combining fuzzy control and grey prediction, including grey prediction model of packaging film position and fuzzy weighted PID control. Finally, an experimental study was carried out. The test results showed that, the proposed deviation correction control system could control the deviation correction error within ±0.5 mm, the maximum value of the actual deviation was only 0.4 mm, and the average error was only 0.19 mm. The control system can effectively improve the accuracy of system deviation correction and better meet the requirements of fresh-cut vegetable packaging technology.
Keywords:fresh-cut vegetable  deviation correction  fuzzy control  grey prediction
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