Research on fuzzy neural network control method for high-frequency vacuum drying of wood

Jiang Bin、Sun Liping、Cao Jun、Zhou Zheng

Strategic Study of CAE ›› 2014, Vol. 16 ›› Issue (4) : 17-20.

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PDF(1518 KB)
Strategic Study of CAE ›› 2014, Vol. 16 ›› Issue (4) : 17-20.

Research on fuzzy neural network control method for high-frequency vacuum drying of wood

  • Jiang Bin、Sun Liping、Cao Jun、Zhou Zheng

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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

high-frequency vacuum / wood drying / fuzzy neural network

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Jiang Bin,Sun Liping,Cao Jun and Zhou Zheng. Research on fuzzy neural network control method for high-frequency vacuum drying of wood. Strategic Study of CAE, 2014, 16(4): 17‒20
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