| 烟叶真空回潮的建模与控制 |
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| 引用本文： | 郝玉山,李新叶,杨海涛,潘占良. 烟叶真空回潮的建模与控制[J]. 中国烟草学报, 2019, 25(4): 29-35. DOI: 10.16472/j.chinatobacco.2019.035 |
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| 作者姓名： | 郝玉山 李新叶 杨海涛 潘占良 |
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| 作者单位： | 1.华北电力大学 电气与电子工程学院, 河北保定 071003 |
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| 摘 要： | 背景和目的 稳定的真空回潮出口水分是卷烟质量的关键，然而由于回潮机内烟包水分和温度不可测，出口水分随来料、蒸汽和环境变化而改变。因此本文构建了烟叶真空回潮的建模与控制系统，以期稳定出口烟叶水分。 方法 研制了真空回潮实验机，首先，增加测点、获得输入输出数据，专利技术处理采样数据和稳态数据，构建出真空回潮的稳态模型和动态模型，观测到机内压力、温度、烟包水分和温度等状态量，试验表明观测误差可接受；其次，针对时变、非线性、大时延、多入多出的受控对象，按人工智能算法由数字仿真训练回潮时间约束条件下水分最大化的参考模型，由全状态反馈的积分控制，让被控对象按参考模型工作。 结果 试验数据表明:1）该系统能够提高回潮能力，在包心不超过70℃的条件下增加水分由2%提高到6%；2）该系统可以稳定出口水分，不受蒸汽、喷水、烟包和环境剧烈变化的影响，并且，回潮水分可预先设定。 结论 本文建立的烟叶真空回潮的建模与控制系统可以实现真空回潮的可观、可控且指标精准。
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| 关 键 词： | 真空回潮 大数据 大数据建模 反馈控制 建模控制 智能制造 |
| 收稿时间： | 2019-01-25 |
Modeling and control of vacuum tobacco pre-conditioner |
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| Affiliation: | 1.Electrical and Electronic Institute, North China Electric University, Baoding 071003, China2.R & D, Sanchuan Electric Co., Baoding 071051, China |
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| Abstract: | Background Stable moisture of vacuum pre-conditioner (VP) is of great importance to quality of cigarette. Since moisture content and temperature of flue gas inside moisture return machine are not measurable, hence moisture content at the outlet changes with the incoming material, steam and environment. A modeling and control system of tobacco vacuum moisture recovery was established in this paper to stabilize moisture content of output tobacco leaves. Methods A prototype of vacuum pre-conditioner was developed by increasing sensors and digital measuring to obtain data from inputs and outputs. Data were treated by patent methods. By establishing steady-state model and dynamic model of vacuum pre-conditioner, state variables (SVs) such as internal pressure and temperature of vacuum pre-conditioner, moisture content and temperature of cigarette packet were obtained. Experiments showed that the observation error was acceptable. For time-varying, nonlinear, time-delayed and multi-in-and-out controlled objects, the reference model of moisture maximization under the constraint of moisture return time was trained by digital simulation according to artifcial intelligence algorithm. Results Results show that: 1) The system can increase moisture content by 2% to 6% under the condition that temperature of the cigarette packed core does not exceed 70℃; 2) The system can be used to stabilize outlet moisture, which is not affected by drastic changes of steam, water spray, smoke packet and environment. Conclusion The modeling and control system of vacuum pre-conditioner developed based on big data can achieve accurate observation and control of vacuum moisture reversion. |
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