2014, Volume 16, Issue 4
Strategic Study of CAE >> 2014, Volume 16, Issue 4
Research on fuzzy neural network control method for high-frequency vacuum drying of wood
College of Mechanical and Electrical Engineering，Northeast Forestry University，Harbin 150040，China
Next Previous
Abstract
High- frequency vacuum combined wood drying is a kind of fast drying speed， low energy consumption，little environmental pollution of new drying technology. On the basis of theoretical analysis with high frequency in wood vacuum drying process，the fuzzy controller and fuzzy neural network controller of wood drying are designed in view of the neural network method to establish model of wood drying. The simulation experiment results show that fuzzy neural network control is better，such as the temperature rising fast，high control precision，good stability. The method to realize the automatic control of timber drying process has important research significance.
Keywords
Figures
图1
图2
图3
图4
图5
图6
References
[ 1 ] 李 坚. 木材科学[M]. 哈尔滨：东北林业大学出版社，1994.
[ 2 ] 何玲芝. 高频真空干燥木材的研究[J]. 东北林业大学学报， 1992，20(3)：49-53. link1
[ 3 ] 小林功，黑田尚宏，久田卓兴，等. 日本柳杉髓心方材干燥过程 中的过热蒸汽预处理[J]. 日本木材工业，2003，58(6)：258-263.
[ 4 ] 李晓玲，高瑞清，构 涛，等. 人工林落叶松髓心方材高频/真空 干燥工艺研究[J]. 木材工业，2010，24(1)：29-321. link1
[ 5 ] Cronin K，Baucour P，Abodayeh K，et al. Probabilistic analysis of timber drying schedules [J]. Drying Technology，2003，21(8)： 1433-1456. link1
[ 6 ] 王立新. 模糊系统与模糊控制教程[M]. 北京：清华大学出版社， 2003.
[ 7 ] 曹文华. 混沌优化的微波木材干燥模糊控制器的设计研究[D]. 哈尔滨：东北林业大学，2010. link1
[ 8 ] 李盼池，李世勇. 基于量子遗传算法的正规模糊神经网络控制 器设计[J]. 系统仿真学报，2007，19(16)：3710-3714. link1
[ 9 ] 曾光奇，胡均安. 模糊控制理论与工程应用[M]. 武汉：华中科技 大学出版社，2006.
京公网安备 11010502051620号
