JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 30 Issue 3-4
September 2015
Article Contents
LIU Sui-jun, YANG Lin-chao, ZHANG Ping and et al. An intelligent PID control model of shredded tobacco blending based on fuzzy neural network[J]. Journal of Light Industry, 2015, 30(3-4): 39-43. doi: 10.3969/j.issn.2095-476X.2015.3/4.009
Citation: LIU Sui-jun, YANG Lin-chao, ZHANG Ping and et al. An intelligent PID control model of shredded tobacco blending based on fuzzy neural network[J]. Journal of Light Industry, 2015, 30(3-4): 39-43. doi: 10.3969/j.issn.2095-476X.2015.3/4.009 shu

An intelligent PID control model of shredded tobacco blending based on fuzzy neural network

  • Received Date: 2014-12-10
    Available Online: 2015-09-15
  • To optimize the PID control of tobacco primary processing and increase the instantaneous precision of shredded tobacco blending,an intelligent PID control model FNN-PID based on fuzzy neural network was proposed. The intelligent fuzzy quantization was conducted according to the demand of shredded tobacco blending ratio and production dynamic data. By comparing the expert knowledge base, and combining with the analysis of intelligent reasoning machine, the ratio adjustment parameter of shredded tobacco blending was decided to take part in the feedback PID control. The practical application results showed that by using this model to control the relative parameters, the instantaneous accuracy was improved significantly, and the system fluctuation was reduced, and consequently the processing requirements of high grade cigarette could be met.
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    1. [1]

      储国海.稳定均匀--制丝工艺管理的目标[J].烟草科技,1994(5):24.

    2. [2]

      袁书豪,宋克强.实现混丝掺配精度预警[J].设备管理与维修,2013(S12):112.

    3. [3]

      段玲,陈建军.卷烟加香加料和混丝掺配工艺过程的稳定度控制[J].郑州轻工业学院学报:自然科学版,2002,17(1):24.

    4. [4]

      夏永明,韦小玲,谢伟强,等.混丝掺配系统计量模型分析[J].烟草科技,2011(5):26.

    5. [5]

      温若愚,席年生,张大波,等.不同混丝模式对烟丝掺配效果的影响[J].烟草科技,2008(9):13.

    6. [6]

      文杰,唐着宽,杨明权,等.过程能力分析在制丝工艺技术改进中的应用[J].烟草科技,2012(3):12.

    7. [7]

      戴滔.基于PLC的模糊-PID控制在梗丝流化床干燥控制系统中的应用研究[D].重庆:重庆大学,2007.

    8. [8]

      张红亮.制丝线瞬时加料比例的计算与应用[J].烟草科技,2013(1):20.

    9. [9]

      乔俊飞,王会东.模糊神经网络的结构自组织算法及应用[J].控制理论与应用,2008,25(4):703.

    10. [10]

      杜鹃,张楠,许自成,等.烤烟不同部位烟叶主要化学成分与感官质量的关系[J].郑州轻工业学院学报:自然科学版,2011,26(2):16.

    11. [11]

      刘畅,欧亚非,胡林,等.影响卷烟烟气稳定性的主要因素源分析[J].郑州轻工业学院学报:自然科学版,2014,29(5):44.

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