陈长生.基于单神经元的啤酒灌装液位自适应控制算法[J].包装工程,2018,39(11):209-213.
CHEN Chang-sheng.Adaptive Control Algorithm of Beer Filling Level Based on Single Neuron[J].Packaging Engineering,2018,39(11):209-213. |
| 基于单神经元的啤酒灌装液位自适应控制算法 |
| Adaptive Control Algorithm of Beer Filling Level Based on Single Neuron |
| 投稿时间：2017-08-30 修订日期：2018-06-10 |
| DOI：10.19554/j.cnki.1001-3563.2018.11.037 |
| 中文关键词: 啤酒灌装 PLC 触摸屏 软件设计 |
| 英文关键词: beer filling PLC touch screen software design |
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| 中文摘要: |
| 目的 为了提高啤酒灌装生产线的生产效率，提升制酒企业的自动化程度，降低工人的劳动强度。方法 根据啤酒灌装流程以及自动灌装生产线结构，提出一种基于PLC和触摸屏的啤酒自动灌装生产线控制系统，控制系统以松下FP-XHC60R PLC为控制器核心，以威纶维纶MT6070I触摸屏为人机操作界面，通过PLC实现执行机构的自动控制和反馈控制，由HMI人机触摸屏实现生产线运行的参数设置，并监控生产线的运行状态。在此硬件结构基础上完成控制系统软件设计，并根据单神经元控制理论，提出一种啤酒灌装液位自适应控制算法，以提高灌装液位控制精度。结果 该控制系统结构简单，便于操作人员对设备进行人性化管理。结论 所设计的啤酒灌装生产线控制系统具有生产效率高、高度自动化、运行稳定等优点。 |
| 英文摘要: |
| The work aims to improve the production efficiency of beer filling production line, elevate the automation degree of liquor making enterprises and reduce the labor intensity of workers. According to the beer filling process and the structure of automatic filling production line, a control system of automatic beer filling production line based on PLC and touch screen was proposed. The control system took the Panasonic FP-XHC60R PLC as the controller core and the MT6070I touch screen as the human machine operation interface to realize the automatic control and the feedback control of the actuator through the PLC. The production line operation parameters were set up and the production line operation condition was monitored by the HMI human machine touch screen. Based on this hardware structure, the software design of the control system was completed; and according to the single neuron control theory, a kind of beer filling level adaptive control algorithm was proposed to improve the control precision of the filling level. The control system has a simple structure convenient for operators to carry out humanized management of the equipment. The control system of beer filling production line designed has the advantages of high production efficiency, high automation and stable operation. |
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