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中密度纤维板热压机模糊控制器的设计 被引量:1

Design of hot-press fuzzy controller for medium-density fiberboard
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摘要 针对中密度纤维板生产过程中,热压时间控制存在的强非线性和滞后问题,提出了具体的解决方法.采用模糊控制理论,建立中密度纤维板热压机模糊控制器模型,运用M amdan i推理合成算法,进行离线编程,得到热压时间模糊控制查询表,将模糊规则的推理合成运算简化为直接查模糊控制查询表来实现,达到控制任务的要求.从M atlab的仿真结果和具体应用可见,模糊控制具有稳定性好、超调量少、震荡现象减少等优势. This paper proposed a solution target and lag in hot-pressing time control in order to solve the problem of strong non-linear during the medium-density fiberboard production process. Based on fuzzy control theory, established hot-pressing modeling for medium-density fiberboard, and analyzed the arithmetic of the Mamdani theorization and synthesizing. The querying table of the fuzzy controller was established by programming offline, to simplify the arithmetic of the theorization and synthesizing to inquire the querying table directly, thus realized requesting control task. In the view of the Maflab simulation result and the concrete application effect, the fuzzy control has more advantages, such as: strong stability fewer overshoot and turbulence reduction.
出处 《哈尔滨商业大学学报(自然科学版)》 CAS 2007年第1期107-111,共5页 Journal of Harbin University of Commerce:Natural Sciences Edition
基金 哈尔滨市青年科学研究基金项目(2003AFQXJ021)
关键词 中密度纤维板 模糊控制 热压 MDF fuzzy control hot-pressing
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参考文献2

  • 1王恺.木材工业实用大全(纤维板卷)[M].北京:中国林业出版社,2000.
  • 2刘恩永.人造板生产工艺[M].北京:高等教育出版社,2001.

同被引文献6

  • 1乔孟丽,张景元.用遗传算法优化模糊控制规则的方法及其MATLAB实现[J].山东理工大学学报(自然科学版),2005,19(3):73-77. 被引量:6
  • 2Maloney,T. M. Modern particleboard and dry-process fiberboard manufacturing[M]. Miller Freeman Publications,Inc.,San Francisco, CA, 1977.91-92.
  • 3Celeste Pereira, Luisa M. H. Carvalho and Carlos A. V. Costa. Modeling the continuous hot pressing process of MDF [D]. Wood Science and Technology,2006,40(4).
  • 4Mamdani,E.H. Applications of fuzzy algorithms for control of simple dynamic plant[J], Proc.IEE 121(12), 1974, 1585-1588.
  • 5Pal T, Pal NR, Pal M. Learning fuzzy rules for controllers with genetic algorithms[J]. International Journal of Intelligent Systems, 2003, (18) :569-592.
  • 6施青平.遗传算法在模糊控制规则优化中的应用[J].武汉理工大学学报(信息与管理工程版),2002,24(3):34-36. 被引量:10

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